AI Research News Feeds for October 7th, 2025

AI RESEARCH PAPERS & ACADEMIC SOURCES

• RESCUE: Crowd Evacuation Simulation via Controlling SDM-United Characters
• Segmenting Bi-Atrial Structures Using ResNext Based Framework
• Poisson multi-Bernoulli mixture filter for trajectory measurements
• Filling of incomplete sinograms from sparse PET detector configurations using a residual U-Net
• Depth-Sequence Transformer (DST) for Segment-Specific ICA Calcification Mapping on Non-Contrast CT
• A Neurosymbolic Agent System for Compositional Visual Reasoning
• RoboSwap: A GAN-driven Video Diffusion Framework For Unsupervised Robot Arm Swapping
• Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency
• SIRI-Bench: Challenging VLMs' Spatial Intelligence through Complex Reasoning Tasks
• VisualChef: Generating Visual Aids in Cooking via Mask Inpainting
• ImplicitQA: Going beyond frames towards Implicit Video Reasoning
• VSRM: A Robust Mamba-Based Framework for Video Super-Resolution
• Comprehensive Evaluation of Large Multimodal Models for Nutrition Analysis: A New Benchmark Enriched with Contextual Metadata
• SurfDist: Interpretable Three-Dimensional Instance Segmentation Using Curved Surface Patches
• UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks
• DiViD: Disentangled Video Diffusion for Static-Dynamic Factorization
• FVQ: A Large-Scale Dataset and an LMM-based Method for Face Video Quality Assessment
• From Gaze to Insight: Bridging Human Visual Attention and Vision Language Model Explanation for Weakly-Supervised Medical Image Segmentation
• MambaMoE: Mixture-of-Spectral-Spatial-Experts State Space Model for Hyperspectral Image Classification
• FreeInsert: Disentangled Text-Guided Object Insertion in 3D Gaussian Scene without Spatial Priors
• Enhancing Transformers Through Conditioned Embedded Tokens
• RGB-to-Polarization Estimation: A New Task and Benchmark Study
• GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization
• DS-VTON: An Enhanced Dual-Scale Coarse-to-Fine Framework for Virtual Try-On
• Resolving Task Objective Conflicts in Unified Model via Task-Aware Mixture-of-Experts
• TimeFormer: Capturing Temporal Relationships of Deformable 3D Gaussians for Robust Reconstruction
• Grounding-IQA: Grounding Multimodal Language Model for Image Quality Assessment
• Autonomous Imagination: Closed-Loop Decomposition of Visual-to-Textual Conversion in Visual Reasoning for Multimodal Large Language Models
• DynamicScaler: Seamless and Scalable Video Generation for Panoramic Scenes
• Leveraging Confident Image Regions for Source-Free Domain-Adaptive Object Detection
• Fast-RF-Shimming: Accelerate RF Shimming in 7T MRI using Deep Learning
• UniUIR: Considering Underwater Image Restoration as An All-in-One Learner
• Generative Human Geometry Distribution
• Explaining Human Preferences via Metrics for Structured 3D Reconstruction
• DecompDreamer: A Composition-Aware Curriculum for Structured 3D Asset Generation
• Sliding Window Attention for Learned Video Compression
• Super-resolution image projection over an extended depth of field using a diffractive decoder
• Use of Quadcopter Wakes to Supplement Strawberry Pollination
• MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition
• The method of the approximate inverse for limited-angle CT
• Adaptive double-phase Rudin--Osher--Fatemi denoising model
• QGFace: Quality-Guided Joint Training For Mixed-Quality Face Recognition
• Foveated Retinotopy Improves Classification and Localization in CNNs
• Interactive Test-Time Adaptation with Reliable Spatial-Temporal Voxels for Multi-Modal Segmentation
• Evaluating Perceptual Distance Models by Fitting Binomial Distributions to Two-Alternative Forced Choice Data
• Reconstructing Topology-Consistent Face Mesh by Volume Rendering from Multi-View Images
• Capsule Network Projectors are Equivariant and Invariant Learners
• PanDORA: Casual HDR Radiance Acquisition for Indoor Scenes
• Law of Vision Representation in MLLMs
• CoralSCOP-LAT: Labeling and Analyzing Tool for Coral Reef Images with Dense Mask
• SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization
• Exploring the Efficacy of Modified Transfer Learning in Identifying Parkinson's Disease Through Drawn Image Patterns
• Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models
• SegMASt3R: Geometry Grounded Segment Matching
• No-reference Quality Assessment of Contrast-distorted Images using Contrast-enhanced Pseudo Reference
• Neuroplastic Modular Framework: Cross-Domain Image Classification of Garbage and Industrial Surfaces
• Factuality Matters: When Image Generation and Editing Meet Structured Visuals
• Character Mixing for Video Generation
• VChain: Chain-of-Visual-Thought for Reasoning in Video Generation
• How We Won BraTS-SSA 2025: Brain Tumor Segmentation in the Sub-Saharan African Population Using Segmentation-Aware Data Augmentation and Model Ensembling
• Model-Guided Microstimulation Steers Primate Visual Behavior
• Towards Robust and Generalizable Continuous Space-Time Video Super-Resolution with Events
• ExposureEngine: Oriented Logo Detection and Sponsor Visibility Analytics in Sports Broadcasts
• Anomaly-Aware YOLO: A Frugal yet Robust Approach to Infrared Small Target Detection
• Beyond Appearance: Transformer-based Person Identification from Conversational Dynamics
• Hands-Free Heritage: Automated 3D Scanning for Cultural Heritage Digitization
• A Comparative Study of Vision Transformers and CNNs for Few-Shot Rigid Transformation and Fundamental Matrix Estimation
• AvatarVTON: 4D Virtual Try-On for Animatable Avatars
• Flow Matching for Conditional MRI-CT and CBCT-CT Image Synthesis
• Detailed Aerial Mapping of Photovoltaic Power Plants Through Semantically Significant Keypoints
• From Actions to Kinesics: Extracting Human Psychological States through Bodily Movements
• Read the Room: Inferring Social Context Through Dyadic Interaction Recognition in Cyber-physical-social Infrastructure Systems
• \mu DeepIQA: deep learning-based fast and robust image quality assessment with local predictions for optical microscopy
• In-Field Mapping of Grape Yield and Quality with Illumination-Invariant Deep Learning
• A Semantics-Aware Hierarchical Self-Supervised Approach to Classification of Remote Sensing Images
• TAG:Tangential Amplifying Guidance for Hallucination-Resistant Diffusion Sampling
• Conditional Representation Learning for Customized Tasks
• Pathology-CoT: Learning Visual Chain-of-Thought Agent from Expert Whole Slide Image Diagnosis Behavior
• A Spatial-Spectral-Frequency Interactive Network for Multimodal Remote Sensing Classification
• Do Superpixel Segmentation Methods Influence Deforestation Image Classification?
• EduPersona: Benchmarking Subjective Ability Boundaries of Virtual Student Agents
• MoME: Estimating Psychological Traits from Gait with Multi-Stage Mixture of Movement Experts
• ConceptSplit: Decoupled Multi-Concept Personalization of Diffusion Models via Token-wise Adaptation and Attention Disentanglement
• Label-Efficient Cross-Modality Generalization for Liver Segmentation in Multi-Phase MRI
• ID-Consistent, Precise Expression Generation with Blendshape-Guided Diffusion
• Object-Centric Representation Learning for Enhanced 3D Scene Graph Prediction
• Benchmark on Monocular Metric Depth Estimation in Wildlife Setting
• Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers
• A Recursive Pyramidal Algorithm for Solving the Image Registration Problem
• Scaling Sequence-to-Sequence Generative Neural Rendering
• The best performance in the CARE 2025 -- Liver Task (LiSeg-Contrast): Contrast-Aware Semi-Supervised Segmentation with Domain Generalization and Test-Time Adaptation
• Flexible and Efficient Spatio-Temporal Transformer for Sequential Visual Place Recognition
• ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation
• CARE-PD: A Multi-Site Anonymized Clinical Dataset for Parkinson's Disease Gait Assessment
• GenAR: Next-Scale Autoregressive Generation for Spatial Gene Expression Prediction
• Diffusion^2: Dual Diffusion Model with Uncertainty-Aware Adaptive Noise for Momentary Trajectory Prediction
• CodeFormer++: Blind Face Restoration Using Deformable Registration and Deep Metric Learning
• A.I.R.: Enabling Adaptive, Iterative, and Reasoning-based Frame Selection For Video Question Answering
• REAR: Rethinking Visual Autoregressive Models via Generator-Tokenizer Consistency Regularization
• VaseVQA-3D: Benchmarking 3D VLMs on Ancient Greek Pottery
• TBStar-Edit: From Image Editing Pattern Shifting to Consistency Enhancement
• Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation
• Zero-Shot Fine-Grained Image Classification Using Large Vision-Language Models
• From Filters to VLMs: Benchmarking Defogging Methods through Object Detection and Segmentation Performance
• Generating Human Motion Videos using a Cascaded Text-to-Video Framework
• Harnessing Synthetic Preference Data for Enhancing Temporal Understanding of Video-LLMs
• Fit Pixels, Get Labels: Meta-learned Implicit Networks for Image Segmentation
• Video-in-the-Loop: Span-Grounded Long Video QA with Interleaved Reasoning
• Enhancing Fake News Video Detection via LLM-Driven Creative Process Simulation
• Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction
• QuantDemoire: Quantization with Outlier Aware for Image Demoir\'eing
• Diffusion Low Rank Hybrid Reconstruction for Sparse View Medical Imaging
• Learning Efficient Meshflow and Optical Flow from Event Cameras
• Joint Learning of Pose Regression and Denoising Diffusion with Score Scaling Sampling for Category-level 6D Pose Estimation
• BLADE: Bias-Linked Adaptive DEbiasing
• Contrastive-SDE: Guiding Stochastic Differential Equations with Contrastive Learning for Unpaired Image-to-Image Translation
• Mirage: Unveiling Hidden Artifacts in Synthetic Images with Large Vision-Language Models
• UGround: Towards Unified Visual Grounding with Unrolled Transformers
• Optimized Minimal 4D Gaussian Splatting
• Cross-View Open-Vocabulary Object Detection in Aerial Imagery
• Exploring the Challenge and Value of Deep Learning in Automated Skin Disease Diagnosis
• SDAKD: Student Discriminator Assisted Knowledge Distillation for Super-Resolution Generative Adversarial Networks
• DHQA-4D: Perceptual Quality Assessment of Dynamic 4D Digital Human
• Skin Lesion Classification Based on ResNet-50 Enhanced With Adaptive Spatial Feature Fusion
• Exploring Instruction Data Quality for Explainable Image Quality Assessment
• Real-Time Assessment of Bystander Situation Awareness in Drone-Assisted First Aid
• FrameOracle: Learning What to See and How Much to See in Videos
• Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL
• A Novel Cloud-Based Diffusion-Guided Hybrid Model for High-Accuracy Accident Detection in Intelligent Transportation Systems
• SAMSOD: Rethinking SAM Optimization for RGB-T Salient Object Detection
• LoRA Patching: Exposing the Fragility of Proactive Defenses against Deepfakes
• The Overlooked Value of Test-time Reference Sets in Visual Place Recognition
• CoPA: Hierarchical Concept Prompting and Aggregating Network for Explainable Diagnosis
• Efficiency vs. Efficacy: Assessing the Compression Ratio-Dice Score Relationship through a Simple Benchmarking Framework for Cerebrovascular 3D Segmentation
• MambaCAFU: Hybrid Multi-Scale and Multi-Attention Model with Mamba-Based Fusion for Medical Image Segmentation
• Domain-Robust Marine Plastic Detection Using Vision Models
• Advances in Medical Image Segmentation: A Comprehensive Survey with a Focus on Lumbar Spine Applications
• Error correction in multiclass image classification of facial emotion on unbalanced samples
• OpusAnimation: Code-Based Dynamic Chart Generation
• Visual Odometry with Transformers
• Sonar Image Datasets: A Comprehensive Survey of Resources, Challenges, and Applications
• Learned Display Radiance Fields with Lensless Cameras
• Visual Language Model as a Judge for Object Detection in Industrial Diagrams
• Denoising of Two-Phase Optically Sectioned Structured Illumination Reconstructions Using Encoder-Decoder Networks
• PEaRL: Pathway-Enhanced Representation Learning for Gene and Pathway Expression Prediction from Histology
• Domain Generalization for Semantic Segmentation: A Survey
• From Scope to Script: An Automated Report Generation Model for Gastrointestinal Endoscopy
• Streaming Drag-Oriented Interactive Video Manipulation: Drag Anything, Anytime!
• Improve MLLM Benchmark Efficiency through Interview
• SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning
• Towards Enforcing Company Policy Adherence in Agentic Workflows
• MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
• Identity resolution of software metadata using Large Language Models
• SoC-DT: Standard-of-Care Aligned Digital Twins for Patient-Specific Tumor Dynamics
• Visualizing Celebrity Dynamics in Video Content: A Proposed Approach Using Face Recognition Timestamp Data
• Geometry of orofacial neuromuscular signals: speech articulation decoding using surface electromyography
• HP-BERT: A framework for longitudinal study of Hinduphobia on social media via language models
• Can Large Language Models Outperform Non-Experts in Poetry Evaluation? A Comparative Study Using the Consensual Assessment Technique
• Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning
• Testing Low-Resource Language Support in LLMs Using Language Proficiency Exams: the Case of Luxembourgish
• AgentAda: Skill-Adaptive Data Analytics for Tailored Insight Discovery
• Forecasting Conversation Derailments Through Generation
• SCAN: Structured Capability Assessment and Navigation for LLMs
• DACL-RAG: Data Augmentation Strategy with Curriculum Learning for Retrieval-Augmented Generation
• TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration
• Social Good or Scientific Curiosity? Uncovering the Research Framing Behind NLP Artefacts
• StressTest: Can YOUR Speech LM Handle the Stress?
• Adapting Diarization-Conditioned Whisper for End-to-End Multi-Talker Speech Recognition
• No Tokens Wasted: Leveraging Long Context in Biomedical Vision-Language Models
• Enhancing OCR for Sino-Vietnamese Language Processing via Fine-tuned PaddleOCRv5
• Visual Representations inside the Language Model
• Retrieval-Augmented Code Generation: A Survey with Focus on Repository-Level Approaches
• Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018
• Understanding Retrieval Augmentation for Long-Form Question Answering
• Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs
• Insights from the Inverse: Reconstructing LLM Training Goals Through Inverse Reinforcement Learning
• Can LLMs Detect Ambiguous Plural Reference? An Analysis of Split-Antecedent and Mereological Reference
• Robustness assessment of large audio language models in multiple-choice evaluation
• FedSRD: Sparsify-Reconstruct-Decompose for Communication-Efficient Federated Large Language Models Fine-Tuning
• FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method
• Multi-Agent Tool-Integrated Policy Optimization
• JSON Whisperer: Efficient JSON Editing with LLMs
• A Low-Resource Speech-Driven NLP Pipeline for Sinhala Dyslexia Assistance
• ModernBERT + ColBERT: Enhancing biomedical RAG through an advanced re-ranking retriever
• Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language Models
• Hybrid Architectures for Language Models: Systematic Analysis and Design Insights
• How I Built ASR for Endangered Languages with a Spoken Dictionary
• Instability in Downstream Task Performance During LLM Pretraining
• When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA
• A Set of Quebec-French Corpus of Regional Expressions and Terms
• Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization
• COLE: a Comprehensive Benchmark for French Language Understanding Evaluation
• Simulating and Understanding Deceptive Behaviors in Long-Horizon Interactions
• AgriGPT-VL: Agricultural Vision-Language Understanding Suite
• LLM Microscope: What Model Internals Reveal About Answer Correctness and Context Utilization
• What Makes Diffusion Language Models Super Data Learners?
• PoLi-RL: A Point-to-List Reinforcement Learning Framework for Conditional Semantic Textual Similarity
• Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning
• Sri Lanka Document Datasets: A Large-Scale, Multilingual Resource for Law, News, and Policy (v20251005)
• Self Speculative Decoding for Diffusion Large Language Models
• Teaching LLM to be Persuasive: Reward-Enhanced Policy Optimization for Alignment frm Heterogeneous Rewards
• Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought
• Equipping Retrieval-Augmented Large Language Models with Document Structure Awareness
• Measuring Language Model Hallucinations Through Distributional Correctness
• Evaluation of Clinical Trials Reporting Quality using Large Language Models
• Good Intentions Beyond ACL: Who Does NLP for Social Good, and Where?
• On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs
• Mitigating Forgetting Between Supervised and Reinforcement Learning Yields Stronger Reasoners
• Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance
• What is a protest anyway? Codebook conceptualization is still a first-order concern in LLM-era classification
• CCD-Bench: Probing Cultural Conflict in Large Language Model Decision-Making
• Decoupling Task-Solving and Output Formatting in LLM Generation
• UNIDOC-BENCH: A Unified Benchmark for Document-Centric Multimodal RAG
• Fine-Tuning Large Language Models with QLoRA for Offensive Language Detection in Roman Urdu-English Code-Mixed Text
• Cross-Lingual Multi-Granularity Framework for Interpretable Parkinson's Disease Diagnosis from Speech
• Prompt Balance Matters: Understanding How Imbalanced Few-Shot Learning Affects Multilingual Sense Disambiguation in LLMs
• Annotate Rhetorical Relations with INCEpTION: A Comparison with Automatic Approaches
• Read Between the Lines: A Benchmark for Uncovering Political Bias in Bangla News Articles
• PsycholexTherapy: Simulating Reasoning in Psychotherapy with Small Language Models in Persian
• Mapping Patient-Perceived Physician Traits from Nationwide Online Reviews with LLMs
• Graph-S3: Enhancing Agentic textual Graph Retrieval with Synthetic Stepwise Supervision
• Morpheme Induction for Emergent Language
• Omni-Embed-Nemotron: A Unified Multimodal Retrieval Model for Text, Image, Audio, and Video
• Searching for the Most Human-like Emergent Language
• Sample, Align, Synthesize: Graph-Based Response Synthesis with ConGrs
• Divergence Minimization Preference Optimization for Diffusion Model Alignment
• Conformal Fields from Neural Networks
• Fast constrained sampling in pre-trained diffusion models
• Probabilistic Language-Image Pre-Training
• Don't Pay Attention, PLANT It: Pretraining Attention via Learning-to-Rank
• SEE-DPO: Self Entropy Enhanced Direct Preference Optimization
• Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
• Sample Complexity of Linear Quadratic Regulator Without Initial Stability
• On Pruning State-Space LLMs
• Seeded Poisson Factorization: leveraging domain knowledge to fit topic models
• PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation
• Benchmark Dataset for Pore-Scale CO2-Water Interaction
• MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning
• Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
• A Hybrid Strategy for Probabilistic Forecasting and Trading of Aggregated Wind-Solar Power: Design and Analysis in HEFTCom2024
• Do We Need All the Synthetic Data? Targeted Synthetic Image Augmentation via Diffusion Models
• UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules
• RhoDARTS: Differentiable Quantum Architecture Search with Density Matrix Simulations
• Making Logic a First-Class Citizen in Network Data Generation with ML
• Sampling-aware Adversarial Attacks Against Large Language Models
• Inference-Time Scaling of Diffusion Language Models with Particle Gibbs Sampling
• GUIDE: Towards Scalable Advising for Research Ideas
• Owen Sampling Accelerates Contribution Estimation in Federated Learning
• RealKIE: Five Novel Datasets for Enterprise Key Information Extraction
• Data-Driven Performance Guarantees for Classical and Learned Optimizers
• On-Demand Growth of Semiconductor Heterostructures Guided by Physics-Informed Machine Learning
• How to build a consistency model: Learning flow maps via self-distillation
• A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning
• Rethinking Probabilistic Circuit Parameter Learning
• Spurious Privacy Leakage in Neural Networks
• LUMION: Fast Fault Recovery for ML Jobs Using Programmable Optical Fabrics
• Cascading Adversarial Bias from Injection to Distillation in Language Models
• Learning Semantics, Not Addresses: Runtime Neural Prefetching for Far Memory
• Reliably Detecting Model Failures in Deployment Without Labels
• Measurement-Aligned Sampling for Inverse Problem
• Curating art exhibitions using machine learning
• Grokking in LLM Pretraining? Monitor Memorization-to-Generalization without Test
• Comparative Performance of Collaborative Bandit Algorithms: Effect of Sparsity and Exploration Intensity
• The Persistence of Neural Collapse Despite Low-Rank Bias
• Joint Diffusion models in Continual Learning
• Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions
• SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation
• Chameleon2++: An Efficient and Scalable Variant Of Chameleon Clustering
• From Restless to Contextual: A Thresholding Bandit Reformulation For Finite-horizon Performance
• Mamba base PKD for efficient knowledge compression
• Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable
• TRA: Better Length Generalisation with Threshold Relative Attention
• Learning and Transferring Physical Models through Derivatives
• Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach
• Learning Penalty for Optimal Partitioning via Automatic Feature Extraction
• A Case for Library-Level k-Means Binning in Histogram Gradient-Boosted Trees
• Towards Coordinate- and Dimension-Agnostic Machine Learning for Partial Differential Equations
• Language Model Based Text-to-Audio Generation: Anti-Causally Aligned Collaborative Residual Transformers
• Data-Driven Adaptive PID Control Based on Physics-Informed Neural Networks
• Evaluating LLMs for Demographic-Targeted Social Bias Detection: A Comprehensive Benchmark Study
• A Study on the Data Distribution Gap in Music Emotion Recognition
• Predictive economics: Rethinking economic methodology with machine learning
• Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning
• Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge
• Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
• ERDE: Entropy-Regularized Distillation for Early-exit
• BenthiCat: An opti-acoustic dataset for advancing benthic classification and habitat mapping
• Comparative Analysis of YOLOv5, Faster R-CNN, SSD, and RetinaNet for Motorbike Detection in Kigali Autonomous Driving Context
• Pivotal CLTs for Pseudolikelihood via Conditional Centering in Dependent Random Fields
• Latent Uncertainty Representations for Video-based Driver Action and Intention Recognition
• A Unified Optimization Framework for Multiclass Classification with Structured Hyperplane Arrangements
• Diffusion Approximations for Thompson Sampling in the Small Gap Regime
• Generalization of LiNGAM that allows confounding
• Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays
• Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond
• Optimal Bound for PCA with Outliers using Higher-Degree Voronoi Diagrams
• Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation
• Learning-Augmented Robust Algorithmic Recourse
• Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization
• Towards Fast Option Pricing PDE Solvers Powered by PIELM
• Environment-Aware Indoor LoRaWAN Path Loss: Parametric Regression Comparisons, Shadow Fading, and Calibrated Fade Margins
• Unmasking Backdoors: An Explainable Defense via Gradient-Attention Anomaly Scoring for Pre-trained Language Models
• Quantizer Design for Finite Model Approximations, Model Learning, and Quantized Q-Learning for MDPs with Unbounded Spaces
• TCR-EML: Explainable Model Layers for TCR-pMHC Prediction
• Time Is Effort: Estimating Human Post-Editing Time for Grammar Error Correction Tool Evaluation
• Scale-Invariant Regret Matching and Online Learning with Optimal Convergence: Bridging Theory and Practice in Zero-Sum Games
• Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization
• Perspectives on Stochastic Localization
• Benchmarking atmospheric circulation variability in an AI emulator, ACE2, and a hybrid model, NeuralGCM
• Deep vs. Shallow: Benchmarking Physics-Informed Neural Architectures on the Biharmonic Equation
• Quantum generative model on bicycle-sharing system and an application
• Fast Witness Persistence for MRI Volumes via Hybrid Landmarking
• Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
• Multi-Modal Multi-Task Semantic Communication: A Distributed Information Bottleneck Perspective
• Exploring Chain-of-Thought Reasoning for Steerable Pluralistic Alignment
• Sharp Lower Bounds for Linearized ReLU^k Approximation on the Sphere
• Fine Tuning Methods for Low-resource Languages
• Drax: Speech Recognition with Discrete Flow Matching
• From Segments to Concepts: Interpretable Image Classification via Concept-Guided Segmentation
• A Universal Deep Learning Force Field for Molecular Dynamic Simulation and Vibrational Spectra Prediction
• Detection of retinal diseases using an accelerated reused convolutional network
• PABSA: Hybrid Framework for Persian Aspect-Based Sentiment Analysis
• Read the Scene, Not the Script: Outcome-Aware Safety for LLMs
• MICROTRIPS: MICRO-geography TRavel Intelligence and Pattern Synthesis
• Improving S&P 500 Volatility Forecasting through Regime-Switching Methods
• Multimodal Arabic Captioning with Interpretable Visual Concept Integration
• Machine Learning and Control: Foundations, Advances, and Perspectives
• DECOR: Deep Embedding Clustering with Orientation Robustness
• Assessing the impact of contact time on leachate chemistry from recycled concrete aggregates
• Is it Bigger than a Breadbox: Efficient Cardinality Estimation for Real World Workloads
• Quantum feature-map learning with reduced resource overhead
• Exploring the Hierarchical Reasoning Model for Small Natural-Image Classification Without Augmentation
• Unsupervised Transformer Pre-Training for Images: Self-Distillation, Mean Teachers, and Random Crops
• Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models
• Mapping Rio de Janeiro's favelas: general-purpose vs. satellite-specific neural networks
• Lightweight and Generalizable Acoustic Scene Representations via Contrastive Fine-Tuning and Distillation
• A Benchmark Study of Deep Learning Methods for Multi-Label Pediatric Electrocardiogram-Based Cardiovascular Disease Classification
• Road Damage and Manhole Detection using Deep Learning for Smart Cities: A Polygonal Annotation Approach
• Cellular Learning: Scattered Data Regression in High Dimensions via Voronoi Cells
• A Trustworthy Industrial Fault Diagnosis Architecture Integrating Probabilistic Models and Large Language Models
• Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
• Optimal Computation from Fluctuation Responses
• Compressed Concatenation of Small Embedding Models
• IMLP: An Energy-Efficient Continual Learning Method for Tabular Data Streams
• Counterfactual Credit Guided Bayesian Optimization
• Parameter-free Algorithms for the Stochastically Extended Adversarial Model
• ViTs: Teaching Machines to See Time Series Anomalies Like Human Experts
• Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs
• EVaR-Optimal Arm Identification in Bandits
• Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors
• ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs
• MetaMP: Seamless Metadata Enrichment and AI Application Framework for Enhanced Membrane Protein Visualization and Analysis
• On the Hardness of Learning Regular Expressions
• Synthesising Counterfactual Explanations via Label-Conditional Gaussian Mixture Variational Autoencoders
• A Clinical-grade Universal Foundation Model for Intraoperative Pathology
• Flow-Matching Based Refiner for Molecular Conformer Generation
• Benchmarking M-LTSF: Frequency and Noise-Based Evaluation of Multivariate Long Time Series Forecasting Models
• DP-HYPE: Distributed Differentially Private Hyperparameter Search
• How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
• Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking
• StructuralDecompose: A Modular Framework for Robust Time Series Decomposition in R
• Adaptive Memory Momentum via a Model-Based Framework for Deep Learning Optimization
• Power Transform Revisited: Numerically Stable, and Federated
• Inoculation Prompting: Instructing LLMs to misbehave at train-time improves test-time alignment
• KEEP: Integrating Medical Ontologies with Clinical Data for Robust Code Embeddings
• Modeling Student Learning with 3.8 Million Program Traces
• Boomerang Distillation Enables Zero-Shot Model Size Interpolation
• Fractional Heat Kernel for Semi-Supervised Graph Learning with Small Training Sample Size
• Forking-Sequences
• Expand Neurons, Not Parameters
• Wavelet Predictive Representations for Non-Stationary Reinforcement Learning
• Real-time Prediction of Urban Sound Propagation with Conditioned Normalizing Flows
• Post-training quantization of vision encoders needs prefixing registers
• Tail-Safe Hedging: Explainable Risk-Sensitive Reinforcement Learning with a White-Box CBF--QP Safety Layer in Arbitrage-Free Markets
• Challenger-Based Combinatorial Bandits for Subcarrier Selection in OFDM Systems
• Stochastic Approximation Methods for Distortion Risk Measure Optimization
• Improved probabilistic regression using diffusion models
• Forecasting-Based Biomedical Time-series Data Synthesis for Open Data and Robust AI
• HoRA: Cross-Head Low-Rank Adaptation with Joint Hypernetworks
• Wave-PDE Nets: Trainable Wave-Equation Layers as an Alternative to Attention
• Activation Steering with a Feedback Controller
• Crash Severity Prediction Using Deep Learning Approaches: A Hybrid CNN-RNN Framework
• FoilDiff: A Hybrid Transformer Backbone for Diffusion-based Modelling of 2D Airfoil Flow Fields
• DoRAN: Stabilizing Weight-Decomposed Low-Rank Adaptation via Noise Injection and Auxiliary Networks
• Learning to Predict Chaos: Curriculum-Driven Training for Robust Forecasting of Chaotic Dynamics
• From News to Returns: A Granger-Causal Hypergraph Transformer on the Sphere
• Quantifying Ambiguity in Categorical Annotations: A Measure and Statistical Inference Framework
• Categorical Invariants of Learning Dynamics
• Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models
• SSM-CGM: Interpretable State-Space Forecasting Model of Continuous Glucose Monitoring for Personalized Diabetes Management
• Achieve Performatively Optimal Policy for Performative Reinforcement Learning
• Trade-off in Estimating the Number of Byzantine Clients in Federated Learning
• On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection
• What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis
• Optimizing Resources for On-the-Fly Label Estimation with Multiple Unknown Medical Experts
• Early-Warning of Thunderstorm-Driven Power Outages with a Two-Stage Machine Learning Model
• Beyond Softmax: A New Perspective on Gradient Bandits
• ICEPool: Enhancing Graph Pooling Networks with Inter-cluster Connectivity
• Incorporating Multivariate Consistency in ML-Based Weather Forecasting with Latent-space Constraints
• Adaptive kernel-density approach for imbalanced binary classification
• Variational Diffusion Unlearning: A Variational Inference Framework for Unlearning in Diffusion Models under Data Constraints
• Rethinking Consistent Multi-Label Classification under Inexact Supervision
• Why Cannot Neural Networks Master Extrapolation? Insights from Physical Laws
• Can Linear Probes Measure LLM Uncertainty?
• Wasserstein projection distance for fairness testing of regression models
• On the Statistical Query Complexity of Learning Semiautomata: a Random Walk Approach
• Modeling Time Series Dynamics with Fourier Ordinary Differential Equations
• Efficient Manifold-Constrained Neural ODE for High-Dimensional Datasets
• Spectral Alignment as Predictor of Loss Explosion in Neural Network Training
• Adaptive Federated Learning via Dynamical System Model
• Truncated Kernel Stochastic Gradient Descent with General Losses and Spherical Radial Basis Functions
• Influence branching for learning to solve mixed-integer programs online
• Efficient Test-Time Scaling for Small Vision-Language Models
• FieldFormer: Physics-Informed Transformers for Spatio-Temporal Field Reconstruction from Sparse Sensors
• MECKD: Deep Learning-Based Fall Detection in Multilayer Mobile Edge Computing With Knowledge Distillation
• In-Vivo Training for Deep Brain Stimulation
• SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network
• Optimising Battery Energy Storage System Trading via Energy Market Operator Price Forecast
• Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning
• Personalized federated prototype learning in mixed heterogeneous data scenarios
• Optimizing Fine-Tuning through Advanced Initialization Strategies for Low-Rank Adaptation
• Neural Low-Discrepancy Sequences
• Merge and Guide: Unifying Model Merging and Guided Decoding for Controllable Multi-Objective Generation
• Curriculum-Augmented GFlowNets For mRNA Sequence Generation
• On Using Large Language Models to Enhance Clinically-Driven Missing Data Recovery Algorithms in Electronic Health Records
• BONSAI: Structure-exploiting robust Bayesian optimization for networked black-box systems under uncertainty
• LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis
• THEMIS: Unlocking Pretrained Knowledge with Foundation Model Embeddings for Anomaly Detection in Time Series
• Generalized Fitted Q-Iteration with Clustered Data
• Transductive and Learning-Augmented Online Regression
• Conditional Pseudo-Supervised Contrast for Data-Free Knowledge Distillation
• Studying the Korean Word-Chain Game with RLVR:Mitigating Reward Conflicts via Curriculum Learning
• Training Variation of Physically-Informed Deep Learning Models
• Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices
• LHGEL: Large Heterogeneous Graph Ensemble Learning using Batch View Aggregation
• How to Set $\beta_1, \beta_2$ in Adam: An Online Learning Perspective
• D2 Actor Critic: Diffusion Actor Meets Distributional Critic
• Task-Level Contrastiveness for Cross-Domain Few-Shot Learning
• RAPID: An Efficient Reinforcement Learning Algorithm for Small Language Models
• CrossLag: Predicting Major Dengue Outbreaks with a Domain Knowledge Informed Transformer
• Light Differentiable Logic Gate Networks
• Data-Driven Temperature Modelling of Machine Tools by Neural Networks: A Benchmark
• Variational Autoencoders-based Detection of Extremes in Plant Productivity in an Earth System Model
• Discovering Transformer Circuits via a Hybrid Attribution and Pruning Framework
• Single-Core Superscalar Optimization of Clifford Neural Layers
• CAFL-L: Constraint-Aware Federated Learning with Lagrangian Dual Optimization for On-Device Language Models
• Revoking Amnesia: RL-based Trajectory Optimization to Resurrect Erased Concepts in Diffusion Models
• Thin Bridges for Drug Text Alignment: Lightweight Contrastive Learning for Target Specific Drug Retrieval
• Scaling Laws Revisited: Modeling the Role of Data Quality in Language Model Pretraining
• Fast frequency reconstruction using Deep Learning for event recognition in ring laser data
• Constant in an Ever-Changing World
• Semantic-Aware Scheduling for GPU Clusters with Large Language Models
• Matching the Optimal Denoiser in Point Cloud Diffusion with (Improved) Rotational Alignment
• High Cycle S-N curve prediction for Al 7075-T6 alloy using Recurrent Neural Networks (RNNs)
• Psychometric Item Validation Using Virtual Respondents with Trait-Response Mediators
• MapIQ: Evaluating Multimodal Large Language Models for Map Question Answering
• Do Vision-Language Models See Urban Scenes as People Do? An Urban Perception Benchmark
• Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods
• From Compression to Expression: A Layerwise Analysis of In-Context Learning
• ViP$^2$-CLIP: Visual-Perception Prompting with Unified Alignment for Zero-Shot Anomaly Detection
• COUNTDOWN: Contextually Sparse Activation Filtering Out Unnecessary Weights in Down Projection
• AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models
• How Many Parameters Does Your Task Really Need? Task Specific Pruning with LLM-Sieve
• From Word to World: Evaluate and Mitigate Culture Bias in LLMs via Word Association Test
• Robust Stability Analysis of Positive Lure System with Neural Network Feedback
• Behavior Injection: Preparing Language Models for Reinforcement Learning
• MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE
• VibE-SVC: Vibrato Extraction with High-frequency F0 Contour for Singing Voice Conversion
• What Has Been Lost with Synthetic Evaluation?
• Local Stability and Region of Attraction Analysis for Neural Network Feedback Systems under Positivity Constraints
• RFCAudit: An LLM Agent for Functional Bug Detection in Network Protocols
• In-Context Learning for Pure Exploration
• MedAgentGym: A Scalable Agentic Training Environment for Code-Centric Reasoning in Biomedical Data Science
• SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages?
• Micro-Act: Mitigating Knowledge Conflict in LLM-based RAG via Actionable Self-Reasoning
• PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation
• Refactoring Codebases through Library Design
• Using cognitive models to reveal value trade-offs in language models
• Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models
• Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards
• Who's the Mole? Modeling and Detecting Intention-Hiding Malicious Agents in LLM-Based Multi-Agent Systems
• Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications
• AgentRewardBench: Evaluating Automatic Evaluations of Web Agent Trajectories
• VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning
• Recursive Deep Inverse Reinforcement Learning
• New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics
• From Dialect Gaps to Identity Maps: Tackling Variability in Speaker Verification
• J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning
• Safety Subspaces are Not Linearly Distinct: A Fine-Tuning Case Study
• Self-GIVE: Associative Thinking from Limited Structured Knowledge for Enhanced Large Language Model Reasoning
• Constructing a 3D Scene from a Single Image
• Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Large Vision-Language Models
• ZSMerge: Zero-Shot KV Cache Compression for Memory-Efficient Long-Context LLMs
• Periodontal Bone Loss Analysis via Keypoint Detection With Heuristic Post-Processing
• Mapping the Trust Terrain: LLMs in Software Engineering -- Insights and Perspectives
• Causality-Based Scores Alignment in Explainable Data Management
• Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation
• MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse
• Scaling Laws of Synthetic Data for Language Models
• Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models
• Understanding R1-Zero-Like Training: A Critical Perspective
• Large EEG-U-Transformer for Time-Step Level Detection Without Pre-Training
• Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Task
• Speculative Automated Refactoring of Imperative Deep Learning Programs to Graph Execution
• On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions
• Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling
• Longitudinal Abuse and Sentiment Analysis of Hollywood Movie Dialogues using Language Models
• Characterizing Mobile SoC for Accelerating Heterogeneous LLM Inference
• AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science
• Controllable Video Generation with Provable Disentanglement
• Taming Latency-Memory Trade-Off in MoE-Based LLM Serving via Fine-Grained Expert Offloading
• QuIC: Quantum-Inspired Compound Adapters for Parameter Efficient Fine-Tuning
• TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion
• Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
• DISC: Dynamic Decomposition Improves LLM Inference Scaling
• Char-mander Use mBackdoor! A Study of Cross-lingual Backdoor Attacks in Multilingual LLMs
• League: Leaderboard Generation on Demand
• SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking
• Evolutionary Guided Decoding: Iterative Value Refinement for LLMs
• TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models
• Can GPT models Follow Human Summarization Guidelines? A Study for Targeted Communication Goals
• Robust MRI Reconstruction by Smoothed Unrolling (SMUG)
• Tabular Data: Is Deep Learning all you need?
• Synthesizing Sentiment-Controlled Feedback For Multimodal Text and Image Data
• When "Competency" in Reasoning Opens the Door to Vulnerability: Jailbreaking LLMs via Novel Complex Ciphers
• PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization
• Unified ODE Analysis of Smooth Q-Learning Algorithms
• Characteristic Learning for Provable One Step Generation
• Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models
• Deep Learning without Weight Symmetry
• Demystifying Higher-Order Graph Neural Networks
• How Far are AI-generated Videos from Simulating the 3D Visual World: A Learned 3D Evaluation Approach
• ClinicRealm: Re-evaluating Large Language Models with Conventional Machine Learning for Non-Generative Clinical Prediction Tasks
• Elastic On-Device LLM Service
• Advanced Clustering Techniques for Speech Signal Enhancement: A Review and Metanalysis of Fuzzy C-Means, K-Means, and Kernel Fuzzy C-Means Methods
• The Hive Mind is a Single Reinforcement Learning Agent
• H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs
• MALT: Improving Reasoning with Multi-Agent LLM Training
• STIV: Scalable Text and Image Conditioned Video Generation
• Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions
• ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering
• Machine Learning as Iterated Belief Change a la Darwiche and Pearl
• FloorplanQA: A Benchmark for Spatial Reasoning in LLMs using Structured Representations
• Cross-Modal Distillation For Widely Differing Modalities
• Autonomous Data Agents: A New Opportunity for Smart Data
• Algorithmic pricing with independent learners and relative experience replay
• Tutorial on amortized optimization
• Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups
• CHARME: A chain-based reinforcement learning approach for the minor embedding problem
• Program Synthesis Benchmark for Visual Programming in XLogoOnline Environment
• Optimizing Agricultural Order Fulfillment Systems: A Hybrid Tree Search Approach
• Efficiently Learning Probabilistic Logical Models by Cheaply Ranking Mined Rules
• MAD-Sherlock: Multi-Agent Debate for Visual Misinformation Detection
• Data clustering: a fundamental method in data science and management
• Neural Deconstruction Search for Vehicle Routing Problems
• Energy-Conscious LLM Decoding: Impact of Text Generation Strategies on GPU Energy Consumption
• TIME: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios
• RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data
• PatentMind: A Multi-Aspect Reasoning Graph for Patent Similarity Evaluation
• Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
• Beyond RLHF and NLHF: Population-Proportional Alignment under an Axiomatic Framework
• Resource-Efficient Fine-Tuning of LLaMA-3.2-3B for Medical Chain-of-Thought Reasoning
• Large Language Models Achieve Gold Medal Performance at International Astronomy & Astrophysics Olympiad
• Graph-Aware Diffusion for Signal Generation
• Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive Experts
• HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model
• SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs
• Slm-mux: Orchestrating small language models for reasoning
• TeachLM: Post-Training LLMs for Education Using Authentic Learning Data
• Finish First, Perfect Later: Test-Time Token-Level Cross-Validation for Diffusion Large Language Models
• Learning to Interpret Weight Differences in Language Models
• From Noisy Traces to Stable Gradients: Bias-Variance Optimized Preference Optimization for Aligning Large Reasoning Models
• Paper2Video: Automatic Video Generation from Scientific Papers
• AgentBench: Evaluating LLMs as Agents
• Graph Generation Powered with LLMs for Boosting Multivariate Time-Series Representation Learning
• Glocal Information Bottleneck for Time Series Imputation
• Do LLMs Align with My Task? Evaluating Text-to-SQL via Dataset Alignment
• REN: Anatomically-Informed Mixture-of-Experts for Interstitial Lung Disease Diagnosis
• Federated Self-Supervised Learning for Automatic Modulation Classification under Non-IID and Class-Imbalanced Data
• The Geometry of Truth: Layer-wise Semantic Dynamics for Hallucination Detection in Large Language Models
• AURA Score: A Metric For Holistic Audio Question Answering Evaluation
• ONNX-Net: Towards Universal Representations and Instant Performance Prediction for Neural Architectures
• Unsupervised Active Learning via Natural Feature Progressive Framework
• A First Context-Free Grammar Applied to Nawatl Corpora Augmentation
• Bidirectional Mammogram View Translation with Column-Aware and Implicit 3D Conditional Diffusion
• Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper)
• Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
• MuFFIN: Multifaceted Pronunciation Feedback Model with Interactive Hierarchical Neural Modeling
• ActiveMark: on watermarking of visual foundation models via massive activations
• AWARE, Beyond Sentence Boundaries: A Contextual Transformer Framework for Identifying Cultural Capital in STEM Narratives
• AutoEmpirical: LLM-Based Automated Research for Empirical Software Fault Analysis
• On Predicting Post-Click Conversion Rate via Counterfactual Inference
• Bond-Centered Molecular Fingerprint Derivatives: A BBBP Dataset Study
• Distributionally Robust Causal Abstractions
• Detecting Distillation Data from Reasoning Models
• FreshBrew: A Benchmark for Evaluating AI Agents on Java Code Migration
• Alignment Tipping Process: How Self-Evolution Pushes LLM Agents Off the Rails
• Model Predictive Control-Guided Reinforcement Learning for Implicit Balancing
• Less is More: Recursive Reasoning with Tiny Networks
• Revealing Interconnections between Diseases: from Statistical Methods to Large Language Models
• SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests
• Focused Skill Discovery: Learning to Control Specific State Variables while Minimizing Side Effects
• Multilingual Routing in Mixture-of-Experts
• The Bayesian Origin of the Probability Weighting Function in Human Representation of Probabilities
• AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Crystalline Materials
• Curved Boolean Logic: A Contextual Generalization of Propositional Logic with Algorithmic Consequences
• Speak, Edit, Repeat: High-Fidelity Voice Editing and Zero-Shot TTS with Cross-Attentive Mamba
• A New Digital Divide? Coder Worldviews, the Slop Economy, and Democracy in the Age of AI
• Progressive Gaussian Transformer with Anisotropy-aware Sampling for Open Vocabulary Occupancy Prediction
• Agile Software Effort Estimation using Regression Techniques
• Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning
• Learning on the Job: Test-Time Curricula for Targeted Reinforcement Learning
• Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading
• DiT-VTON: Diffusion Transformer Framework for Unified Multi-Category Virtual Try-On and Virtual Try-All with Integrated Image Editing
• Did you just see that? Arbitrary view synthesis for egocentric replay of operating room workflows from ambient sensors
• Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction
• GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning
• LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
• Deep learning framework for predicting stochastic take-off and die-out of early spreading
• A Case for Declarative LLM-friendly Interfaces for Improved Efficiency of Computer-Use Agents
• Accountability Capture: How Record-Keeping to Support AI Transparency and Accountability (Re)shapes Algorithmic Oversight
• Design Process of a Self Adaptive Smart Serious Games Ecosystem
• Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
• Fairness in Repeated Matching: A Maximin Perspective
• SFANet: Spatial-Frequency Attention Network for Deepfake Detection
• Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation
• Noise or Signal? Deconstructing Contradictions and An Adaptive Remedy for Reversible Normalization in Time Series Forecasting
• FocusMed: A Large Language Model-based Framework for Enhancing Medical Question Summarization with Focus Identification
• Semantic Channel Equalization Strategies for Deep Joint Source-Channel Coding
• TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA
• How does the optimizer implicitly bias the model merging loss landscape?
• MacroBench: A Novel Testbed for Web Automation Scripts via Large Language Models
• NegotiationGym: Self-Optimizing Agents in a Multi-Agent Social Simulation Environment
• GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks
• Adaptive Weighted Loss for Sequential Recommendations on Sparse Domains
• MorphoSim: An Interactive, Controllable, and Editable Language-guided 4D World Simulator
• Improving Consistency in Retrieval-Augmented Systems with Group Similarity Rewards
• Large Language Models Preserve Semantic Isotopies in Story Continuations
• Your Vision-Language Model Can't Even Count to 20: Exposing the Failures of VLMs in Compositional Counting
• Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
• SPEGNet: Synergistic Perception-Guided Network for Camouflaged Object Detection
• Compressed Convolutional Attention: Efficient Attention in a Compressed Latent Space
• MedCLM: Learning to Localize and Reason via a CoT-Curriculum in Medical Vision-Language Models
• Psychological Steering in LLMs: An Evaluation of Effectiveness and Trustworthiness
• GenQuest: An LLM-based Text Adventure Game for Language Learners
• Physics-Inspired All-Pair Interaction Learning for 3D Dynamics Modeling
• Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPs
• Concept-Based Masking: A Patch-Agnostic Defense Against Adversarial Patch Attacks
• Efficient Latent Variable Causal Discovery: Combining Score Search and Targeted Testing
• LongTail-Swap: benchmarking language models' abilities on rare words
• SliceMoE: Routing Embedding Slices Instead of Tokens for Fine-Grained and Balanced Transformer Scaling
• Audit the Whisper: Detecting Steganographic Collusion in Multi-Agent LLMs
• FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents
• Pitch-Conditioned Instrument Sound Synthesis From an Interactive Timbre Latent Space
• Inoculation Prompting: Eliciting traits from LLMs during training can suppress them at test-time
• Critical appraisal of artificial intelligence for rare-event recognition: principles and pharmacovigilance case studies
• Challenge on Optimization of Context Collection for Code Completion
• GA4GC: Greener Agent for Greener Code via Multi-Objective Configuration Optimization
• Learning from All: Concept Alignment for Autonomous Distillation from Multiple Drifting MLLMs
• Beyond Next-Token Prediction: A Performance Characterization of Diffusion versus Autoregressive Language Models
• Multi Language Models for On-the-Fly Syntax Highlighting
• Thinking on the Fly: Test-Time Reasoning Enhancement via Latent Thought Policy Optimization
• A Complement to Neural Networks for Anisotropic Inelasticity at Finite Strains
• Finite Time Analysis of Constrained Natural Critic-Actor Algorithm with Improved Sample Complexity
• Cooperative Flexibility Exchange: Fair and Comfort-Aware Decentralized Resource Allocation
• World-To-Image: Grounding Text-to-Image Generation with Agent-Driven World Knowledge
• CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling
• PolyKAN: A Polyhedral Analysis Framework for Provable and Minimal KAN Compression
• Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention
• MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering
• MASC: Boosting Autoregressive Image Generation with a Manifold-Aligned Semantic Clustering
• Zoom-In to Sort AI-Generated Images Out
• \textsc{GUI-Spotlight}: Adaptive Iterative Focus Refinement for Enhanced GUI Visual Grounding
• Quantization Range Estimation for Convolutional Neural Networks
• MetaFind: Scene-Aware 3D Asset Retrieval for Coherent Metaverse Scene Generation
• What Scales in Cross-Entropy Scaling Law?
• A Contextual Quality Reward Model for Reliable and Efficient Best-of-N Sampling
• Using predefined vector systems as latent space configuration for neural network supervised training on data with arbitrarily large number of classes
• Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
• TOPO-Bench: An Open-Source Topological Mapping Evaluation Framework with Quantifiable Perceptual Aliasing
• Unveiling LLMs' Metaphorical Understanding: Exploring Conceptual Irrelevance, Context Leveraging and Syntactic Influence
• Attending on Multilevel Structure of Proteins enables Accurate Prediction of Cold-Start Drug-Target Interactions
• On the Limitations and Capabilities of Position Embeddings for Length Generalization
• PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting
• Towards Carbon-Aware Container Orchestration: Predicting Workload Energy Consumption with Federated Learning
• What Can You Do When You Have Zero Rewards During RL?
• Distilling Reasoning into Student LLMs: Local Naturalness for Selecting Teacher Data
• A Mathematical Explanation of Transformers for Large Language Models and GPTs
• Named Entity Recognition in COVID-19 tweets with Entity Knowledge Augmentation
• Replacing Softmax Similarity with a Sharpened Angular Similarity: Theory and Practice of Scaling To Billion-Context Attention
• Thai Semantic End-of-Turn Detection for Real-Time Voice Agents
• Principled and Tractable RL for Reasoning with Diffusion Language Models
• Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models
• The Debate on RLVR Reasoning Capability Boundary: Shrinkage, Expansion, or Both? A Two-Stage Dynamic View
• Does Using Counterfactual Help LLMs Explain Textual Importance in Classification?
• Small Language Models for Emergency Departments Decision Support: A Benchmark Study
• Prompt-to-Prompt: Text-Based Image Editing Via Cross-Attention Mechanisms -- The Research of Hyperparameters and Novel Mechanisms to Enhance Existing Frameworks
• Unlocking Reasoning Capabilities in LLMs via Reinforcement Learning Exploration
• AI Adoption Across Mission-Driven Organizations
• PoseGaze-AHP: A Knowledge-Based 3D Dataset for AI-Driven Ocular and Postural Diagnosis
• Multi-Modal Oral Cancer Detection Using Weighted Ensemble Convolutional Neural Networks
• Adversarial Agent Collaboration for C to Rust Translation
• Refactoring with LLMs: Bridging Human Expertise and Machine Understanding
• On the Convergence and Size Transferability of Continuous-depth Graph Neural Networks
• LLM Chemistry Estimation for Multi-LLM Recommendation
• Strategy Logic, Imperfect Information, and Hyperproperties
• SPEAR: Soft Prompt Enhanced Anomaly Recognition for Time Series Data
• HydroFusion-LMF: Semi-Supervised Multi-Network Fusion with Large-Model Adaptation for Long-Term Daily Runoff Forecasting
• TreePrompt: Leveraging Hierarchical Few-Shot Example Selection for Improved English-Persian and English-German Translation
• Code4MeV2: a Research-oriented Code-completion Platform
• EvoEngineer: Mastering Automated CUDA Kernel Code Evolution with Large Language Models
• Adaptively Sampling-Reusing-Mixing Decomposed Gradients to Speed Up Sharpness Aware Minimization
• Rezwan: Leveraging Large Language Models for Comprehensive Hadith Text Processing: A 1.2M Corpus Development
• Lightweight and Data-Efficient MultivariateTime Series Forecasting using Residual-Stacked Gaussian (RS-GLinear) Architecture
• Mechanistic Interpretability of Socio-Political Frames in Language Models
• Beyond Token Length: Step Pruner for Efficient and Accurate Reasoning in Large Language Models
• 6G-Enabled Digital Twin Framework for Real-Time Cyber-Physical Systems: An Experimental Validation with Industrial Bearing Fault Detection
• ReTiDe: Real-Time Denoising for Energy-Efficient Motion Picture Processing with FPGAs
• Detecting Invariant Manifolds in ReLU-Based RNNs
• A4FN: an Agentic AI Architecture for Autonomous Flying Networks
• AI-Assisted Pleural Effusion Volume Estimation from Contrast-Enhanced CT Images
• Designing Empirical Studies on LLM-Based Code Generation: Towards a Reference Framework
• Can an LLM Induce a Graph? Investigating Memory Drift and Context Length
• Predicting Stock Price Movement with LLM-Enhanced Tweet Emotion Analysis
• Towards Unsupervised Speech Recognition at the Syllable-Level
• LLM-Guided Evolutionary Program Synthesis for Quasi-Monte Carlo Design
• Operationalizing Data Minimization for Privacy-Preserving LLM Prompting
• MonitorVLM:A Vision Language Framework for Safety Violation Detection in Mining Operations
• MedReflect: Teaching Medical LLMs to Self-Improve via Reflective Correction
• REG: A Regularization Optimizer for Robust Training Dynamics
• Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents
• Referring Expression Comprehension for Small Objects
• Artery-Vein Segmentation from Fundus Images using Deep Learning
• TS-Reasoner: Aligning Time Series Foundation Models with LLM Reasoning
• Certifiable Safe RLHF: Fixed-Penalty Constraint Optimization for Safer Language Models
• Identifying Financial Risk Information Using RAG with a Contrastive Insight
• TriMediQ: A Triplet-Structured Approach for Interactive Medical Question Answering
• Unmasking Puppeteers: Leveraging Biometric Leakage to Disarm Impersonation in AI-based Videoconferencing
• GAS-MIL: Group-Aggregative Selection Multi-Instance Learning for Ensemble of Foundation Models in Digital Pathology Image Analysis
• Reactive Transformer (RxT) -- Stateful Real-Time Processing for Event-Driven Reactive Language Models
• Evaluating OCR performance on food packaging labels in South Africa
• Generalization of Graph Neural Network Models for Distribution Grid Fault Detection
• Deep learning the sources of MJO predictability: a spectral view of learned features
• A Hybrid Co-Finetuning Approach for Visual Bug Detection in Video Games
• Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends
• Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science
• PLSEMANTICSBENCH: Large Language Models As Programming Language Interpreters
• Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation
• Application of a Virtual Imaging Framework for Investigating a Deep Learning-Based Reconstruction Method for 3D Quantitative Photoacoustic Computed Tomography
• Scalable Ground Station Selection for Large LEO Constellations
• Spatial-ViLT: Enhancing Visual Spatial Reasoning through Multi-Task Learning
• The Argument is the Explanation: Structured Argumentation for Trust in Agents
• ALMAS: an Autonomous LLM-based Multi-Agent Software Engineering Framework
• DuPLUS: Dual-Prompt Vision-Language Framework for Universal Medical Image Segmentation and Prognosis
• Reasoning-based Anomaly Detection Framework: A Real-time, Scalable, and Automated Approach to Anomaly Detection Across Domains
• SEER: The Span-based Emotion Evidence Retrieval Benchmark
• AgentHub: A Research Agenda for Agent Sharing Infrastructure
• ALHD: A Large-Scale and Multigenre Benchmark Dataset for Arabic LLM-Generated Text Detection
• Platonic Transformers: A Solid Choice For Equivariance
• Red Lines and Grey Zones in the Fog of War: Benchmarking Legal Risk, Moral Harm, and Regional Bias in Large Language Model Military Decision-Making
• Provenance Networks: End-to-End Exemplar-Based Explainability
• Unified Unsupervised Anomaly Detection via Matching Cost Filtering
• Diffusion-Based, Data-Assimilation-Enabled Super-Resolution of Hub-height Winds
• Disentangling Recall and Reasoning in Transformer Models through Layer-wise Attention and Activation Analysis
• An Adaptive Responsible AI Governance Framework for Decentralized Organizations
• TriQuest:An AI Copilot-Powered Platform for Interdisciplinary Curriculum Design
• InstructPLM-mu: 1-Hour Fine-Tuning of ESM2 Beats ESM3 in Protein Mutation Predictions
• Distributed Low-Communication Training with Decoupled Momentum Optimization
• Real-time nonlinear inversion of magnetic resonance elastography with operator learning
• Lightweight Prompt Engineering for Cognitive Alignment in Educational AI: A OneClickQuiz Case Study
• Can an AI-Powered Presentation Platform Based On The Game "Just a Minute" Be Used To Improve Students' Public Speaking Skills?
• A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew
• Cross-Modal Reconstruction Pretraining for Ramp Flow Prediction at Highway Interchanges
• Implicit Values Embedded in How Humans and LLMs Complete Subjective Everyday Tasks
• Linguistic and Audio Embedding-Based Machine Learning for Alzheimer's Dementia and Mild Cognitive Impairment Detection: Insights from the PROCESS Challenge
• Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models
• Learning Pareto-Optimal Pandemic Intervention Policies with MORL
• Defining a Strategic Action Plan for AI in Higher Education
• Pilot selection in the era of Virtual reality: algorithms for accurate and interpretable machine learning models
• KVComm: Enabling Efficient LLM Communication through Selective KV Sharing
• AgentCaster: Reasoning-Guided Tornado Forecasting
• Interpretable Neuropsychiatric Diagnosis via Concept-Guided Graph Neural Networks
• Inference-Time Search using Side Information for Diffusion-based Image Reconstruction
• Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility
• Physics-informed Neural-operator Predictive Control for Drag Reduction in Turbulent Flows
• Why mask diffusion does not work
• UniPruning: Unifying Local Metric and Global Feedback for Scalable Sparse LLMs
• From Score Distributions to Balance: Plug-and-Play Mixture-of-Experts Routing
• Convolutional Neural Nets vs Vision Transformers: A SpaceNet Case Study with Balanced vs Imbalanced Regimes
• Dynamic Meta-Learning for Adaptive XGBoost-Neural Ensembles
• Atlas-free Brain Network Transformer
• Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management
• A Comprehensive Review on Artificial Intelligence Empowered Solutions for Enhancing Pedestrian and Cyclist Safety
• Decomposing Attention To Find Context-Sensitive Neurons
• The View From Space: Navigating Instrumentation Differences with EOFMs
• Photorealistic Inpainting for Perturbation-based Explanations in Ecological Monitoring
• NS-Pep: De novo Peptide Design with Non-Standard Amino Acids
• Intelligent Healthcare Ecosystems: Optimizing the Iron Triangle of Healthcare (Access, Cost, Quality)
• Decision Potential Surface: A Theoretical and Practical Approximation of LLM's Decision Boundary
• PDE-Transformer: A Continuous Dynamical Systems Approach to Sequence Modeling
• Learning without Global Backpropagation via Synergistic Information Distillation
• Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models
• SDQ-LLM: Sigma-Delta Quantization for 1-bit LLMs of any size
• QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks
• Quantifying constraint hierarchies in Bayesian PINNs via per-constraint Hessian decomposition
• MemMamba: Rethinking Memory Patterns in State Space Model
• Training Optimal Large Diffusion Language Models
• MACE: A Hybrid LLM Serving System with Colocated SLO-aware Continuous Retraining Alignment
• Edge-FIT: Federated Instruction Tuning of Quantized LLMs for Privacy-Preserving Smart Home Environments
• A Biologically Interpretable Cognitive Architecture for Online Structuring of Episodic Memories into Cognitive Maps
• LogAction: Consistent Cross-system Anomaly Detection through Logs via Active Domain
• Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning
• Semantic-Inductive Attribute Selection for Zero-Shot Learning
• Rethinking Inter-LoRA Orthogonality in Adapter Merging: Insights from Orthogonal Monte Carlo Dropout
• Memory Self-Regeneration: Uncovering Hidden Knowledge in Unlearned Models
• Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data
• MindCraft: How Concept Trees Take Shape In Deep Models
• PT$^2$-LLM: Post-Training Ternarization for Large Language Models
• Decrypt Modality Gap in Multimodal Contrastive Learning: From Convergent Representation to Pair Alignment
• General Exploratory Bonus for Optimistic Exploration in RLHF
• CoDA: Coding LM via Diffusion Adaptation
• ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization
• PARS: Low-Latency LLM Serving via Pairwise Learning-to-Rank
• VIFO: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion
• Frequency-Aware Model Parameter Explorer: A new attribution method for improving explainability
• StructPrune: Structured Global Pruning asymptotics with $\mathcal{O}(\sqrt{N})$ GPU Memory
• Towards Multimodal Active Learning: Efficient Learning with Limited Paired Data
• Real-Time Brain Biomechanics Prediction with Neural Operators: Toward Clinically Deployable Traumatic Brain Injury Models
• Numerion: A Multi-Hypercomplex Model for Time Series Forecasting
• Universal Multi-Domain Translation via Diffusion Routers
• Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents
• SciTS: Scientific Time Series Understanding and Generation with LLMs
• Triple-BERT: Do We Really Need MARL for Order Dispatch on Ride-Sharing Platforms?
• POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation
• MARS: Optimizing Dual-System Deep Research via Multi-Agent Reinforcement Learning
• Safe and Compliant Cross-Market Trade Execution via Constrained RL and Zero-Knowledge Audits
• Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI
• LLM-Hanabi: Evaluating Multi-Agent Gameplays with Theory-of-Mind and Rationale Inference in Imperfect Information Collaboration Game
• Think Then Embed: Generative Context Improves Multimodal Embedding
• Look-ahead Reasoning with a Learned Model in Imperfect Information Games
• Staircase Streaming for Low-Latency Multi-Agent Inference
• A Modular Conditional Diffusion Framework for Image Reconstruction
• Perfect AI Mimicry and the Epistemology of Consciousness: A Solipsistic Dilemma
• Making Mathematical Reasoning Adaptive
• MedPAO: A Protocol-Driven Agent for Structuring Medical Reports
• QuantAgents: Towards Multi-agent Financial System via Simulated Trading
• Improving Multimodal Brain Encoding Model with Dynamic Subject-awareness Routing
• Watch and Learn: Learning to Use Computers from Online Videos
• Beyond Outcome Reward: Decoupling Search and Answering Improves LLM Agents
• BrokenMath: A Benchmark for Sycophancy in Theorem Proving with LLMs
• LMM-Incentive: Large Multimodal Model-based Incentive Design for User-Generated Content in Web 3.0
• Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems
• Natural Language Edge Labelling: Decoupling Intent from Execution in Structured LM Reasoning
• LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
• Video Game Level Design as a Multi-Agent Reinforcement Learning Problem
• Where Did It All Go Wrong? A Hierarchical Look into Multi-Agent Error Attribution
• Human Behavior Atlas: Benchmarking Unified Psychological and Social Behavior Understanding
• Utility-Learning Tension in Self-Modifying Agents
• DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization
• On Continuous Optimization for Constraint Satisfaction Problems
• Multi-Agent Collaborative Intelligence: Dual-Dial Control for Reliable LLM Reasoning
• Impatient Users Confuse AI Agents: High-fidelity Simulations of Human Traits for Testing Agents
• ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering
• Aria: An Agent For Retrieval and Iterative Auto-Formalization via Dependency Graph
• Code World Models for General Game Playing
• TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use
• ContextNav: Towards Agentic Multimodal In-Context Learning
• COSMIR: Chain Orchestrated Structured Memory for Iterative Reasoning over Long Context
• Strongly Solving 2048 4x3
• Searching Meta Reasoning Skeleton to Guide LLM Reasoning
• Internal states before wait modulate reasoning patterns
• Selective Expert Guidance for Effective and Diverse Exploration in Reinforcement Learning of LLMs
• The Artificial Intelligence Cognitive Examination: A Survey on the Evolution of Multimodal Evaluation from Recognition to Reasoning
• Open Agent Specification (Agent Spec) Technical Report
• Constructing coherent spatial memory in LLM agents through graph rectification
• COSMO-RL: Towards Trustworthy LMRMs via Joint Safety and Stability
• AgentRL: Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework
• Closing the Loop: Coordinating Inventory and Recommendation via Deep Reinforcement Learning on Multiple Timescales
• GROK: From Quantitative Biomarkers to Qualitative Diagnosis via a Grounded MLLM with Knowledge-Guided Instruction
• Doctor-R1: Mastering Clinical Inquiry with Experiential Agentic Reinforcement Learning
• On the Importance of Task Complexity in Evaluating LLM-Based Multi-Agent Systems
• Speculative Actions: A Lossless Framework for Faster Agentic Systems
• Just-in-time Episodic Feedback Hinter: Leveraging Offline Knowledge to Improve LLM Agents Adaptation
• LLM Based Bayesian Optimization for Prompt Search
• Internal World Models as Imagination Networks in Cognitive Agents
• Algorithm Generation via Creative Ideation
• Adaptive and Explainable AI Agents for Anomaly Detection in Critical IoT Infrastructure using LLM-Enhanced Contextual Reasoning
• Rare Text Semantics Were Always There in Your Diffusion Transformer
• Kantian-Utilitarian XAI: Meta-Explained
• What Shapes a Creative Machine Mind? Comprehensively Benchmarking Creativity in Foundation Models
• Zephyrus: An Agentic Framework for Weather Science
• LLM-Based Data Science Agents: A Survey of Capabilities, Challenges, and Future Directions
• A global log for medical AI
• FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning
• Increasing LLM response trustworthiness using voting ensembles
• Toward a unified framework for data-efficient evaluation of large language models
• Decoding Emotion in the Deep: A Systematic Study of How LLMs Represent, Retain, and Express Emotion
• Moral Anchor System: A Predictive Framework for AI Value Alignment and Drift Prevention
• SPOGW: a Score-based Preference Optimization method via Group-Wise comparison for workflows
• Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems
• WebRenderBench: Enhancing Web Interface Generation through Layout-Style Consistency and Reinforcement Learning
• Know Thyself? On the Incapability and Implications of AI Self-Recognition
• ContraGen: A Multi-Agent Generation Framework for Enterprise Contradictions Detection
• A Qualitative Comparative Evaluation of Cognitive and Generative Theories
• Bridging LLM Planning Agents and Formal Methods: A Case Study in Plan Verification
• Towards Policy-Compliant Agents: Learning Efficient Guardrails For Policy Violation Detection
• OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flows
• MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information
• Rainbow Padding: Mitigating Early Termination in Instruction-Tuned Diffusion LLMs
• Mind the Goal: Data-Efficient Goal-Oriented Evaluation of Conversational Agents and Chatbots using Teacher Models
• H-DDx: A Hierarchical Evaluation Framework for Differential Diagnosis
• Bridging the Gap Between Multimodal Foundation Models and World Models
• OptAgent: Optimizing Query Rewriting for E-commerce via Multi-Agent Simulation
• GuidedSampling: Steering LLMs Towards Diverse Candidate Solutions at Inference-Time
• Small Language Models for Agentic Systems: A Survey of Architectures, Capabilities, and Deployment Trade offs
• Refined Iterated Pareto Greedy for Energy-aware Hybrid Flowshop Scheduling with Blocking Constraints
• A General Quantum Duality for Representations of Groups with Applications to Quantum Money, Lightning, and Fire
• Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning
• What Lurks Within? Concept Auditing for Shared Diffusion Models at Scale
• Rethinking Exact Unlearning under Exposure: Extracting Forgotten Data under Exact Unlearning in Large Language Model
• Can We Infer Confidential Properties of Training Data from LLMs?
• LexiMark: Robust Watermarking via Lexical Substitutions to Enhance Membership Verification of an LLM's Textual Training Data
• Thought Purity: A Defense Framework For Chain-of-Thought Attack
• VDDP: Verifiable Distributed Differential Privacy under the Client-Server-Verifier Setup
• System Prompt Poisoning: Persistent Attacks on Large Language Models Beyond User Injection
• The Security Threat of Compressed Projectors in Large Vision-Language Models
• Backdoors in Code Summarizers: How Bad Is It?
• LLMalMorph: On The Feasibility of Generating Variant Malware using Large-Language-Models
• Contrastive-KAN: A Semi-Supervised Intrusion Detection Framework for Cybersecurity with scarce Labeled Data
• TopicAttack: An Indirect Prompt Injection Attack via Topic Transition
• PP-STAT: An Efficient Privacy-Preserving Statistical Analysis Framework using Homomorphic Encryption
• From Protest to Power Plant: Interpreting the Role of Escalatory Hacktivism in Cyber Conflict
• HIPAAChecker: The Comprehensive Solution for HIPAA Compliance in Android mHealth Apps
• Position Paper: Assessing Robustness, Privacy, and Fairness in Federated Learning Integrated with Foundation Models
• SteerDiff: Steering towards Safe Text-to-Image Diffusion Models
• CountCrypt: Quantum Cryptography between QCMA and PP
• Quantum Cryptography and Hardness of Non-Collapsing Measurements
• Collusion-Resistant Quantum Secure Key Leasing Beyond Decryption
• Federated Computation of ROC and PR Curves
• What your brain activity says about you: A review of neuropsychiatric disorders identified in resting-state and sleep EEG data
• Less is More: On Copy Complexity in Quantum Cryptography
• Imperceptible Jailbreaking against Large Language Models
• On Cryptography and Distribution Verification, with Applications to Quantum Advantage
• Multi-Agent Distributed Optimization With Feasible Set Privacy
• SCART: Simulation of Cyber Attacks for Real-Time
• Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning
• Retrofitting XoM for Stripped Binaries without Embedded Data Relocation
• Proof-of-Data: A Consensus Protocol for Collaborative Intelligence
• Can Indirect Prompt Injection Attacks Be Detected and Removed?
• AttackSeqBench: Benchmarking Large Language Models in Analyzing Attack Sequences within Cyber Threat Intelligence
• From Cyber Security Incident Management to Cyber Security Crisis Management in the European Union
• DualBreach: Efficient Dual-Jailbreaking via Target-Driven Initialization and Multi-Target Optimization
• RL Is a Hammer and LLMs Are Nails: A Simple Reinforcement Learning Recipe for Strong Prompt Injection
• NatGVD: Natural Adversarial Example Attack towards Graph-based Vulnerability Detection
• Proactive defense against LLM Jailbreak
• Adversarial training with restricted data manipulation
• WAREX: Web Agent Reliability Evaluation on Existing Benchmarks
• LegalSim: Multi-Agent Simulation of Legal Systems for Discovering Procedural Exploits
• Repairing Leaks in Resource Wrappers
• A Quantum-Secure Voting Framework Using QKD, Dual-Key Symmetric Encryption, and Verifiable Receipts
• A Lightweight Federated Learning Approach for Privacy-Preserving Botnet Detection in IoT
• Machine Unlearning Meets Adversarial Robustness via Constrained Interventions on LLMs
• Cross-Modal Content Optimization for Steering Web Agent Preferences
• From Theory to Practice: Evaluating Data Poisoning Attacks and Defenses in In-Context Learning on Social Media Health Discourse
• Spatial CAPTCHA: Generatively Benchmarking Spatial Reasoning for Human-Machine Differentiation
• Quantifying Risks in Multi-turn Conversation with Large Language Models
• Strategic Communication Protocols for Interstellar Objects Using a Threat-Communication Viability Index and the Information-Communication Paradox
• Multi-Class Support Vector Machine with Differential Privacy
• Proofs of quantum memory
• SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations
• AgentTypo: Adaptive Typographic Prompt Injection Attacks against Black-box Multimodal Agents
• VortexPIA: Indirect Prompt Injection Attack against LLMs for Efficient Extraction of User Privacy
• MulVuln: Enhancing Pre-trained LMs with Shared and Language-Specific Knowledge for Multilingual Vulnerability Detection
• P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs
• Unified Threat Detection and Mitigation Framework (UTDMF): Combating Prompt Injection, Deception, and Bias in Enterprise-Scale Transformers
• Computational Certified Deletion Property of Magic Square Game and its Application to Classical Secure Key Leasing
• PoS-CoPOR: Proof-of-Stake Consensus Protocol with Native Onion Routing Providing Scalability and DoS-Resistance
• Backing the Wrong Horse: How Bit-Level Netlist Augmentation can Counter Power Side Channel Attacks
• Modeling and Managing Temporal Obligations in GUCON Using SPARQL-star and RDF-star
• Enhancing TreePIR for a Single-Server Setting via Resampling
• Securing Operating Systems Through Fine-grained Kernel Access Limitation for IoT Systems
• Public-Key Encryption from the MinRank Problem
• You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models
• Complex Domain Approach for Reversible Data Hiding and Homomorphic Encryption: General Framework and Application to Dispersed Data
• Security Analysis of Ponzi Schemes in Ethereum Smart Contracts
• Pilot Contamination Attacks Detection with Machine Learning for Multi-User Massive MIMO
• Quantifying Distributional Robustness of Agentic Tool-Selection
• PrivSpike: Employing Homomorphic Encryption for Private Inference of Deep Spiking Neural Networks
• FHEON: A Configurable Framework for Developing Privacy-Preserving Neural Networks Using Homomorphic Encryption
• Real-VulLLM: An LLM Based Assessment Framework in the Wild
• Gluing Random Unitaries with Inverses and Applications to Strong Pseudorandom Unitaries
• Cyber Warfare During Operation Sindoor: Malware Campaign Analysis and Detection Framework
• ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
• RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking
• SVDefense: Effective Defense against Gradient Inversion Attacks via Singular Value Decomposition
• Attack logics, not outputs: Towards efficient robustification of deep neural networks by falsifying concept-based properties
• Security Analysis and Threat Modeling of Research Management Applications [Extended Version]
• NEXUS: Network Exploration for eXploiting Unsafe Sequences in Multi-Turn LLM Jailbreaks
• A Multi-Layer Electronic and Cyber Interference Model for AI-Driven Cruise Missiles: The Case of Khuzestan Province
• CryptOracle: A Modular Framework to Characterize Fully Homomorphic Encryption
• PentestMCP: A Toolkit for Agentic Penetration Testing
• Explainable but Vulnerable: Adversarial Attacks on XAI Explanation in Cybersecurity Applications
• On the Limits of Consensus under Dynamic Availability and Reconfiguration
• QPADL: Post-Quantum Private Spectrum Access with Verified Location and DoS Resilience
• A Time-Bound Signature Scheme for Blockchains
• Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods
• Shrinking the Kernel Attack Surface Through Static and Dynamic Syscall Limitation
• Topic-Specific Classifiers are Better Relevance Judges than Prompted LLMs
• LLM, Reporting In! Medical Information Extraction Across Prompting, Fine-tuning and Post-correction
• Automating construction safety inspections using a multi-modal vision-language RAG framework
• Epistemic Diversity and Knowledge Collapse in Large Language Models
• Evaluating Keyframe Layouts for Visual Known-Item Search in Homogeneous Collections
• GRACE: Generative Representation Learning via Contrastive Policy Optimization
• Fine-grained auxiliary learning for real-world product recommendation
• Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
• Exploring Applications of State Space Models and Advanced Training Techniques in Sequential Recommendations: A Comparative Study on Efficiency and Performance
• Prompt Tuning as User Inherent Profile Inference Machine
• Learning Refined Document Representations for Dense Retrieval via Deliberate Thinking
• LLM-CoT Enhanced Graph Neural Recommendation with Harmonized Group Policy Optimization
• Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking
• Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models
• Towards Understanding Bias in Synthetic Data for Evaluation
• Investigating LLM Variability in Personalized Conversational Information Retrieval
• Beyond Static Evaluation: Rethinking the Assessment of Personalized Agent Adaptability in Information Retrieval
• Visual Lifelog Retrieval through Captioning-Enhanced Interpretation
• The LCLStream Ecosystem for Multi-Institutional Dataset Exploration
• RLRF: Competitive Search Agent Design via Reinforcement Learning from Ranker Feedback
• Learning-Based Hashing for ANN Search: Foundations and Early Advances
• Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
• Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation
• MARCO: A Cooperative Knowledge Transfer Framework for Personalized Cross-domain Recommendations
• Enhancing Foveated Rendering with Weighted Reservoir Sampling
• 3Dify: a Framework for Procedural 3D-CG Generation Assisted by LLMs Using MCP and RAG
• C3Editor: Achieving Controllable Consistency in 2D Model for 3D Editing
• Social Agent: Mastering Dyadic Nonverbal Behavior Generation via Conversational LLM Agents
• Bridging Text and Video Generation: A Survey
• SAEdit: Token-level control for continuous image editing via Sparse AutoEncoder
• Pulp Motion: Framing-aware multimodal camera and human motion generation
• Textured Gaussians for Enhanced 3D Scene Appearance Modeling
• ProcTex: Consistent and Interactive Text-to-texture Synthesis for Part-based Procedural Models
• Mixture of Contexts for Long Video Generation
• WonderHuman: Hallucinating Unseen Parts in Dynamic 3D Human Reconstruction
• TCDiff++: An End-to-end Trajectory-Controllable Diffusion Model for Harmonious Music-Driven Group Choreography
• Evaluating High-Resolution Piano Sustain Pedal Depth Estimation with Musically Informed Metrics
• "It felt more real": Investigating the User Experience of the MiWaves Personalizing JITAI Pilot Study
• Data Therapist: Eliciting Domain Knowledge from Subject Matter Experts Using Large Language Models
• Human Empathy as Encoder: AI-Assisted Depression Assessment in Special Education
• MURMR: A Multimodal Sensing Framework for Automated Group Behavior Analysis in Mixed Reality
• "Think about it like you're a firefighter": Understanding How Reddit Moderators Use the Modqueue
• Can Large Language Models generalize analogy solving like children can?
• Student-AI Interaction in an LLM-Empowered Learning Environment: A Cluster Analysis of Engagement Profiles
• The Ultimate Configuration Management Tool? Lessons from a Mixed Methods Study of Ansible's Challenges
• Advancing Brainwave Modeling with a Codebook-Based Foundation Model
• The Narcissus Hypothesis: Descending to the Rung of Illusion
• Creative synthesis of kinematic mechanisms
• Universal Beta Splatting
• Style Brush: Guided Style Transfer for 3D Objects
• Paris: A Decentralized Trained Open-Weight Diffusion Model
• Neon: Negative Extrapolation From Self-Training Improves Image Generation
• Diverse Text-to-Image Generation via Contrastive Noise Optimization
• Joint Neural SDF Reconstruction and Semantic Segmentation for CAD Models
• Investigating mixed traffic dynamics of pedestrians and non-motorized vehicles at urban intersections: Observation experiments and modelling
• A survey on the impact of emotions on the productivity among software developers
• ReactDiff: Fundamental Multiple Appropriate Facial Reaction Diffusion Model
• Social bias is prevalent in user reports of hate and abuse online
• Understanding User Perception and Intention to Use Smart Homes for Energy Efficiency: A Survey
• Ads that Talk Back: Implications and Perceptions of Injecting Personalized Advertising into LLM Chatbots
• Towards a Better Modqueue: Designing for Diversity Across Moderator Objectives and Workflows
• EEG-based AI-BCI Wheelchair Advancement: A Brain-Computer Interfacing Wheelchair System Using Deep Learning Approach
• Privacy Leakage Overshadowed by Views of AI: A Study on Human Oversight of Privacy in Language Model Agent
• Understanding User Mental Models in AI-Driven Code Completion Tools: Insights from an Elicitation Study
• "When I lost it, they dragged me out": How Care Encounters Empower Marginalized Young Adults' Aspiration and Mental Health Care-Seeking
• Beyond Training: How Workers Discover Value in Enterprise AI
• NaturalEdit: Code Modification through Direct Interaction with Adaptive Natural Language Representation
• What Do We Mean When We Talk About Data Storytelling?
• Trust in Transparency: How Explainable AI Shapes User Perceptions
• NERVIS: An Interactive System for Graph-Based Exploration and Editing of Named Entities
• Observing Without Doing: Pseudo-Apprenticeship Patterns in Student LLM Use
• CAG: Chunked Augmented Generation for Google Chrome's Built-in Gemini Nano
• PrivacyMotiv: Speculative Persona Journeys for Empathic and Motivating Privacy Reviews in UX Design
• A Survey of LLM-Based Applications in Programming Education: Balancing Automation and Human Oversight
• Smart Paste: Automatically Fixing Copy/Paste for Google Developers
• Talking Tennis: Language Feedback from 3D Biomechanical Action Recognition
• Reconsidering Requirements Engineering: Human-AI Collaboration in AI-Native Software Development
• Mixed Reality Guidance of a Surgical Scalpel Using Magic Leap: Evaluation on a 3D-Printed Liver Phantom
• Invisible Saboteurs: Sycophantic LLMs Mislead Novices in Problem-Solving Tasks
• Bridging the Gap: Enhancing Gaze-Performance Link in Children with ASD through Dual-Level Visual Guidance in MR-DMT
• Teaching with AI: A Systematic Review of Chatbots, Generative Tools, and Tutoring Systems in Programming Education
• AI-Driven Grading and Moderation for Collaborative Projects in Computer Science Education
• Wrist2Finger: Sensing Fingertip Force for Force-Aware Hand Interaction with a Ring-Watch Wearable
• Pedestrian collision avoidance in hemianopia during natural walking in immersive virtual reality
• When AI Gets Persuaded, Humans Follow: Inducing the Conformity Effect in Persuasive Dialogue
• Reflection Before Action: Designing a Framework for Quantifying Thought Patterns for Increased Self-awareness in Personal Decision Making
• Beyond the Benefits: A Systematic Review of the Harms and Consequences of Generative AI in Computing Education
• AgentBuilder: Exploring Scaffolds for Prototyping User Experiences of Interface Agents
• Autonomy Matters: A Study on Personalization-Privacy Dilemma in LLM Agents
• Multi-Hop Question Answering: When Can Humans Help, and Where do They Struggle?
• A Hierarchical Control Architecture for Space Robots in On-Orbit Servicing Operations
• In-Hand Manipulation of Articulated Tools with Dexterous Robot Hands with Sim-to-Real Transfer
• KiVi: Kinesthetic-Visuospatial Integration for Dynamic and Safe Egocentric Legged Locomotion
• HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation in Hexapod Robot
• ShapeICP: Iterative Category-level Object Pose and Shape Estimation from Depth
• CHOICE: Coordinated Human-Object Interaction in Cluttered Environments for Pick-and-Place Actions
• RowDetr: End-to-End Crop Row Detection Using Polynomials
• Universal Adversarial Perturbation Attacks On Modern Behavior Cloning Policies
• Rough Stochastic Pontryagin Maximum Principle and an Indirect Shooting Method
• Motion Blender Gaussian Splatting for Dynamic Scene Reconstruction
• Learning Closed-Loop Parametric Nash Equilibria of Multi-Agent Collaborative Field Coverage
• LIAM: Multimodal Transformer for Language Instructions, Images, Actions and Semantic Maps
• AutoDrive-QA: A Multiple-Choice Benchmark for Vision-Language Evaluation in Urban Autonomous Driving
• Physics-Based Motion Imitation with Adversarial Differential Discriminators
• Immersive Mixed Reality Simulator for CT Scan Preparation: Enhancing Patient Emotional and Physical Readiness
• ReLI: A Language-Agnostic Approach to Human-Robot Interaction
• Digital-physical testbed for ship autonomy studies in the Marine Cybernetics Laboratory basin
• Neural Brain: A Neuroscience-inspired Framework for Embodied Agents
• Learning a Unified Policy for Position and Force Control in Legged Loco-Manipulation
• FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens
• Viewpoint-Agnostic Manipulation Policies with Strategic Vantage Selection
• ATK: Automatic Task-driven Keypoint Selection for Robust Policy Learning
• Time-Optimized Safe Navigation in Unstructured Environments through Learning Based Depth Completion
• LERa: Replanning with Visual Feedback in Instruction Following
• Learning Geometry-Aware Nonprehensile Pushing and Pulling with Dexterous Hands
• Cyber Racing Coach: A Haptic Shared Control Framework for Teaching Advanced Driving Skills
• RT-GuIDE: Real-Time Gaussian Splatting for Information-Driven Exploration
• Dynamic Neural Potential Field: Online Trajectory Optimization in the Presence of Moving Obstacles
• NDOB-Based Control of a UAV with Delta-Arm Considering Manipulator Dynamics
• Online Hybrid-Belief POMDP with Coupled Semantic-Geometric Models
• ToddlerBot: Open-Source ML-Compatible Humanoid Platform for Loco-Manipulation
• Training-free Task-oriented Grasp Generation
• Nonparametric adaptive payload tracking for an offshore crane
• Humanoid Policy ~ Human Policy
• Learning to Play Piano in the Real World
• A Corrector-aided Look-ahead Distance-based Guidance for Online Reference Path Following with an Efficient Mid-course Guidance Strategy
• BiDexHand: Design and Evaluation of an Open-Source 16-DoF Biomimetic Dexterous Hand
• Distributed Area Coverage with High Altitude Balloons Using Multi-Agent Reinforcement Learning
• LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization
• Bridge Thinking and Acting: Unleashing Physical Potential of VLM with Generalizable Action Expert
• OpenFLAME: Federated Visual Positioning System to Enable Large-Scale Augmented Reality Applications
• A KL-regularization framework for learning to plan with adaptive priors
• RAP: 3D Rasterization Augmented End-to-End Planning
• More Than Meets the Eye? Uncovering the Reasoning-Planning Disconnect in Training Vision-Language Driving Models
• Learning a Shape-adaptive Assist-as-needed Rehabilitation Policy from Therapist-informed Input
• Efficient Probabilistic Planning with Maximum-Coverage Distributionally Robust Backward Reachable Trees
• A Benchmarking Study of Vision-Based Robotic Grasping Algorithms: A Comparative Analysis
• Code Generation and Conic Constraints for Model-Predictive Control on Microcontrollers with Conic-TinyMPC
• Dual-arm Motion Generation for Repositioning Care based on Deep Predictive Learning with Somatosensory Attention Mechanism
• Pragmatic Embodied Spoken Instruction Following in Human-Robot Collaboration with Theory of Mind
• CLEAR-IR: Clarity-Enhanced Active Reconstruction of Infrared Imagery
• HyperVLA: Efficient Inference in Vision-Language-Action Models via Hypernetworks
• Efficient Navigation in Unknown Indoor Environments with Vision-Language Models
• Walking, Rolling, and Beyond: First-Principles and RL Locomotion on a TARS-Inspired Robot
• StaMo: Unsupervised Learning of Generalizable Robot Motion from Compact State Representation
• Automaton Constrained Q-Learning
• ResMimic: From General Motion Tracking to Humanoid Whole-body Loco-Manipulation via Residual Learning
• Adaptive Cruise Control in Autonomous Vehicles: Challenges, Gaps, Comprehensive Review, and, Future Directions
• Viability-Preserving Passive Torque Control
• Real-Time Threaded Houbara Detection and Segmentation for Wildlife Conservation using Mobile Platforms
• Agile Tradespace Exploration for Space Rendezvous Mission Design via Transformers
• SketchPlan: Diffusion Based Drone Planning From Human Sketches
• Deep Reinforcement Learning for Multi-Agent Coordination
• ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context
• Integrated Planning and Control on Manifolds: Factor Graph Representation and Toolkit
• Stability-Aware Retargeting for Humanoid Multi-Contact Teleoperation
• Reliable and Scalable Robot Policy Evaluation with Imperfect Simulators
• PAD-TRO: Projection-Augmented Diffusion for Direct Trajectory Optimization
• Velocity-Form Data-Enabled Predictive Control of Soft Robots under Unknown External Payloads
• Everything-Grasping (EG) Gripper: A Universal Gripper with Synergistic Suction-Grasping Capabilities for Cross-Scale and Cross-State Manipulation
• MobRT: A Digital Twin-Based Framework for Scalable Learning in Mobile Manipulation
• OKVIS2-X: Open Keyframe-based Visual-Inertial SLAM Configurable with Dense Depth or LiDAR, and GNSS
• Bio-Inspired Robotic Houbara: From Development to Field Deployment for Behavioral Studies
• Building Gradient by Gradient: Decentralised Energy Functions for Bimanual Robot Assembly
• Performance-guided Task-specific Optimization for Multirotor Design
• Online automatic code generation for robot swarms: LLMs and self-organizing hierarchy
• TAG-K: Tail-Averaged Greedy Kaczmarz for Computationally Efficient and Performant Online Inertial Parameter Estimation
• Model-Based Adaptive Precision Control for Tabletop Planar Pushing Under Uncertain Dynamics
• Trajectory prediction for heterogeneous agents: A performance analysis on small and imbalanced datasets
• COVER:COverage-VErified Roadmaps for Fixed-time Motion Planning in Continuous Semi-Static Environments
• Seeing the Bigger Picture: 3D Latent Mapping for Mobile Manipulation Policy Learning
• NoTVLA: Narrowing of Dense Action Trajectories for Generalizable Robot Manipulation
• WAFFLE: A Wearable Approach to Bite Timing Estimation in Robot-Assisted Feeding
• TCB-VIO: Tightly-Coupled Focal-Plane Binary-Enhanced Visual Inertial Odometry
• A Real-Time Framework for Intermediate Map Construction and Kinematically Feasible Off-Road Planning Without OSM
• SITCOM: Scaling Inference-Time COMpute for VLAs
• Feedback Matters: Augmenting Autonomous Dissection with Visual and Topological Feedback
• From Shadow to Light: Toward Safe and Efficient Policy Learning Across MPC, DeePC, RL, and LLM Agents
• HEHA: Hierarchical Planning for Heterogeneous Multi-Robot Exploration of Unknown Environments
• Learning to Capture Rocks using an Excavator: A Reinforcement Learning Approach with Guiding Reward Formulation
• VBM-NET: Visual Base Pose Learning for Mobile Manipulation using Equivariant TransporterNet and GNNs
• Using Robotics to Improve Transcatheter Edge-to-Edge Repair of the Mitral Valve
• Zenbo Patrol: A Social Assistive Robot Based on Multimodal Deep Learning for Real-time Illegal Parking Recognition and Notification
• Flexible Locomotion Learning with Diffusion Model Predictive Control
• A Simulation Evaluation Suite for Robust Adaptive Quadcopter Control
• Destination-to-Chutes Task Mapping Optimization for Multi-Robot Coordination in Robotic Sorting Systems
• Robust Permissive Controller Synthesis for Interval MDPs
• Digital-Twin Evaluation for Proactive Human-Robot Collision Avoidance via Prediction-Guided A-RRT*
• Distributed Connectivity Maintenance and Recovery for Quadrotor Motion Planning
• LapSurgie: Humanoid Robots Performing Surgery via Teleoperated Handheld Laparoscopy
• Efficient Surgical Robotic Instrument Pose Reconstruction in Real World Conditions Using Unified Feature Detection
• Shape-Space Graphs: Fast and Collision-Free Path Planning for Soft Robots
• Learning to Act Through Contact: A Unified View of Multi-Task Robot Learning
• Safety-Oriented Dynamic Path Planning for Automated Vehicles
• Geometrically Exact Hard Magneto-Elastic Cosserat Shells: Static Formulation for Shape Morphing
• An Amphibious Untethered Inchworm Soft Robot for Fast Crawling Locomotion
• Robust Visual Embodiment: How Robots Discover Their Bodies in Real Environments
• EmbodiSwap for Zero-Shot Robot Imitation Learning
• Summaries as Centroids for Interpretable and Scalable Text Clustering
• Interpretable Visualizations of Data Spaces for Classification Problems
• Dependency-aware Maximum Likelihood Estimation for Active Learning
• Density Ratio-based Causal Discovery from Bivariate Continuous-Discrete Data
• Directional Convergence, Benign Overfitting of Gradient Descent in leaky ReLU two-layer Neural Networks
• Gradient-flow SDEs have unique transient population dynamics
• Inference-time Scaling of Diffusion Models through Classical Search
• Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer
• Optimal swimming with body compliance in an overdamped medium
• Warm-Starting Optimization-Based Motion Planning for Robotic Manipulators via Point Cloud-Conditioned Flow Matching
• Vector Copula Variational Inference and Dependent Block Posterior Approximations
• Graph Alignment via Birkhoff Relaxation
• Critical Points of Random Neural Networks
• Uniform convergence of the smooth calibration error and its relationship with functional gradient
• Probably Approximately Correct Labels
• Conformal Prediction for Long-Tailed Classification
• On amortizing convex conjugates for optimal transport
• Quick Adaptive Ternary Segmentation: An Efficient Decoding Procedure For Hidden Markov Models
• What is Intelligence? A Cycle Closure Perspective
• A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data
• Maximum mean discrepancies of Farey sequences
• Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis
• Learning to Bid in Non-Stationary Repeated First-Price Auctions
• Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training
• Rethinking Langevin Thompson Sampling from A Stochastic Approximation Perspective
• ResCP: Reservoir Conformal Prediction for Time Series Forecasting
• TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration
• Mixtures of Gaussian Process Experts with SMC$^2$
• Fitted value iteration methods for bicausal optimal transport
• Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime
• Approximation Bounds for Recurrent Neural Networks with Application to Regression
• Machine Learning for Inverse Problems and Data Assimilation
• Counterfactual explainability and analysis of variance
• Another look at inference after prediction
• A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models
• Efficient Sparsification of Simplicial Complexes via Local Densities of States
• Inverse Mixed-Integer Programming: Learning Constraints then Objective Functions
• Two new approaches to multiple canonical correlation analysis for repeated measures data
• Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion
• Graph-based Tabular Deep Learning Should Learn Feature Interactions, Not Just Make Predictions
• Learning Linear Regression with Low-Rank Tasks in-Context
• SONA: Learning Conditional, Unconditional, and Mismatching-Aware Discriminator
• Busemann Functions in the Wasserstein Space: Existence, Closed-Forms, and Applications to Slicing
• Closed-Form Last Layer Optimization
• On decomposability and subdifferential of the tensor nuclear norm
• When Do Credal Sets Stabilize? Fixed-Point Theorems for Credal Set Updates
• Discrete scalar curvature as a weighted sum of Ollivier-Ricci curvatures
• On Structured State-Space Duality
• Technical note on Fisher Information for Robust Federated Cross-Validation
• Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting
• The Hidden Game Problem
• On Provable Benefits of Muon in Federated Learning
• Optimal Scaling Needs Optimal Norm
• Analysis of kinetic Langevin Monte Carlo under the stochastic exponential Euler discretization from underdamped all the way to overdamped
• Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning
• Offline Reinforcement Learning in Large State Spaces: Algorithms and Guarantees
• Don't Pass$\mathtt{@}k$: A Bayesian Framework for Large Language Model Evaluation
• Probing Geometry of Next Token Prediction Using Cumulant Expansion of the Softmax Entropy
• Arithmetic-Mean $\mu$P for Modern Architectures: A Unified Learning-Rate Scale for CNNs and ResNets
• Score-based generative emulation of impact-relevant Earth system model outputs
• spd-metrics-id: A Python Package for SPD-Aware Distance Metrics in Connectome Fingerprinting and Beyond
• Domain Generalization: A Tale of Two ERMs
• Towards Sampling Data Structures for Tensor Products in Turnstile Streams
• Group Policy Gradient
• From Moments to Models: Graphon Mixture-Aware Mixup and Contrastive Learning
• Balancing Interpretability and Performance in Reinforcement Learning: An Adaptive Spectral Based Linear Approach
• Cost Efficient Fairness Audit Under Partial Feedback
• Allocation of Parameters in Transformers
• Robust Batched Bandits
• TROLL: Trust Regions improve Reinforcement Learning for Large Language Models
• Proximal Diffusion Neural Sampler
• HOFLON: Hybrid Offline Learning and Online Optimization for Process Start-Up and Grade-Transition Control
• Longitudinal Flow Matching for Trajectory Modeling
• BEKAN: Boundary condition-guaranteed evolutionary Kolmogorov-Arnold networks with radial basis functions for solving PDE problems
• Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning
• Exact and Approximate MCMC for Doubly-intractable Probabilistic Graphical Models Leveraging the Underlying Independence Model
• Understanding the Role of Training Data in Test-Time Scaling
• Explore the Loss space with Hill-ADAM
• Neural Bayesian Filtering
• Handling Missing Data in Probabilistic Regression Trees: Methods and Implementation in R
• Implicit Models: Expressive Power Scales with Test-Time Compute
• Does higher interpretability imply better utility? A Pairwise Analysis on Sparse Autoencoders
• Bias and Coverage Properties of the WENDy-IRLS Algorithm
• Multi-task neural diffusion processes for uncertainty-quantified wind power prediction
• Consistent Kernel Change-Point Detection under m-Dependence for Text Segmentation
• Optimal Regularization Under Uncertainty: Distributional Robustness and Convexity Constraints
• On residual network depth
• Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Finite-Horizon Offline RL with Linear $q^\pi$-Realizability and Concentrability
• Composite Optimization with Error Feedback: the Dual Averaging Approach
• Long-Term Mapping of the Douro River Plume with Multi-Agent Reinforcement Learning
• Sequential decoder training for improved latent space dynamics identification
• Learning Survival Models with Right-Censored Reporting Delays
• Divergence Phase Index: A Riesz-Transform Framework for Multidimensional Phase Difference Analysis
• Gini-based Model Monitoring: A General Framework with an Application to Non-life Insurance Pricing
• Computing Wasserstein Barycenters through Gradient Flows
• Fisher-Bingham-like normalizing flows on the sphere
• Kernel ridge regression under power-law data: spectrum and generalization
• A Noise Resilient Approach for Robust Hurst Exponent Estimation
• Set to Be Fair: Demographic Parity Constraints for Set-Valued Classification
• Embracing Discrete Search: A Reasonable Approach to Causal Structure Learning
• Curiosity-Driven Co-Development of Action and Language in Robots Through Self-Exploration
• Causal Abstractions, Categorically Unified
• Machine Learning Workflows in Climate Modeling: Design Patterns and Insights from Case Studies
• Estimating link level traffic emissions: enhancing MOVES with open-source data
• Quantile-Scaled Bayesian Optimization Using Rank-Only Feedback
• Mathematically rigorous proofs for Shapley explanations
• Transformed $\ell_1$ Regularizations for Robust Principal Component Analysis: Toward a Fine-Grained Understanding
• The analogy theorem in Hoare logic
• Spectral Thresholds for Identifiability and Stability:Finite-Sample Phase Transitions in High-Dimensional Learning
• Self-Speculative Masked Diffusions
• Simulation-based inference via telescoping ratio estimation for trawl processes
• Scalable Causal Discovery from Recursive Nonlinear Data via Truncated Basis Function Scores and Tests
• Relative Information Gain and Gaussian Process Regression
• Adaptive Coverage Policies in Conformal Prediction
• Modular and Adaptive Conformal Prediction for Sequential Models via Residual Decomposition