AI Research News Feeds for October 21st, 2025

AI RESEARCH PAPERS & ACADEMIC SOURCES

• Botany-Bot: Digital Twin Monitoring of Occluded and Underleaf Plant Structures with Gaussian Splats
• Dress Well via Fashion Cognitive Learning
• Privacy-Preserving Visual Localization with Event Cameras
• Limitations of Data-Driven Spectral Reconstruction -- An Optics-Aware Analysis
• FireANTs: Adaptive Riemannian Optimization for Multi-Scale Diffeomorphic Matching
• Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion
• Enhancing Test Time Adaptation with Few-shot Guidance
• Large Language Model-Guided Semantic Alignment for Human Activity Recognition
• Improvement of Spiking Neural Network with Bit Planes and Color Models
• VisualLens: Personalization through Task-Agnostic Visual History
• SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization
• FairGen: Enhancing Fairness in Text-to-Image Diffusion Models via Self-Discovering Latent Directions
• NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose Estimation
• DynVFX: Augmenting Real Videos with Dynamic Content
• Dual Caption Preference Optimization for Diffusion Models
• Indoor Heat Estimation from a Single Visible-Light Panorama
• ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval
• Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion
• Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparison
• Leveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and Tracking
• Morpheus: Benchmarking Physical Reasoning of Video Generative Models with Real Physical Experiments
• Hierarchical Feature Learning for Medical Point Clouds via State Space Model
• Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling
• SSL4Eco: A Global Seasonal Dataset for Geospatial Foundation Models in Ecology
• Is Artificial Intelligence Generated Image Detection a Solved Problem?
• UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens
• GMatch: A Lightweight, Geometry-Constrained Keypoint Matcher for Zero-Shot 6DoF Pose Estimation in Robotic Grasp Tasks
• Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and Styles
• Hierarchical Material Recognition from Local Appearance
• Grounded Reinforcement Learning for Visual Reasoning
• CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning
• Reasoning-Aligned Perception Decoupling for Scalable Multi-modal Reasoning
• Consistent Story Generation: Unlocking the Potential of Zigzag Sampling
• GeoCAD: Local Geometry-Controllable CAD Generation with Large Language Models
• G$^{2}$D: Boosting Multimodal Learning with Gradient-Guided Distillation
• HOI-Dyn: Learning Interaction Dynamics for Human-Object Motion Diffusion
• Advancing Complex Wide-Area Scene Understanding with Hierarchical Coresets Selection
• Attention (as Discrete-Time Markov) Chains
• Adaptive Convolutional Neural Network for Image Super-resolution
• Principled Feature Disentanglement for High-Fidelity Unified Brain MRI Synthesis
• A Synthetic Data-Driven Radiology Foundation Model for Pan-tumor Clinical Diagnosis
• Geodesic Diffusion Models for Efficient Medical Image Enhancement
• Nexus: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision
• Real-time Spatial-temporal Traversability Assessment via Feature-based Sparse Gaussian Process
• EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images
• Exploring the Limits of Vision-Language-Action Manipulations in Cross-task Generalization
• SpectraLift: Physics-Guided Spectral-Inversion Network for Self-Supervised Hyperspectral Image Super-Resolution
• Real-Time World Crafting: Generating Structured Game Behaviors from Natural Language with Large Language Models
• $\mathcal{V}isi\mathcal{P}runer$: Decoding Discontinuous Cross-Modal Dynamics for Efficient Multimodal LLMs
• DELULU: Discriminative Embedding Learning Using Latent Units for Speaker-Aware Self-Supervised Speech Foundational Model
• UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Action
• Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement
• Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference
• LEME: Open Large Language Models for Ophthalmology with Advanced Reasoning and Clinical Validation
• A Knapsack by Any Other Name: Presentation impacts LLM performance on NP-hard problems
• Automated Evaluation of Meter and Rhyme in Russian Generative and Human-Authored Poetry
• Leveraging Robust Optimization for LLM Alignment under Distribution Shifts
• Thinking Out Loud: Do Reasoning Models Know When They're Right?
• Understanding LLMs' Cross-Lingual Context Retrieval: How Good It Is And Where It Comes From
• HCR-Reasoner: Synergizing Large Language Models and Theory for Human-like Causal Reasoning
• MedScore: Generalizable Factuality Evaluation of Free-Form Medical Answers by Domain-adapted Claim Decomposition and Verification
• Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning
• Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs
• A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
• A Controllable Examination for Long-Context Language Models
• KG-Infused RAG: Augmenting Corpus-Based RAG with External Knowledge Graphs
• AnTKV: Anchor Token-Aware Sub-Bit Vector Quantization for KV Cache in Large Language Models
• Compressed and Smooth Latent Space for Text Diffusion Modeling
• Value-Based Large Language Model Agent Simulation for Mutual Evaluation of Trust and Interpersonal Closeness
• A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies: a benchmark dataset and method
• Adaptive Data-Resilient Multi-Modal Hierarchical Multi-Label Book Genre Identification
• Video-SafetyBench: A Benchmark for Safety Evaluation of Video LVLMs
• MiLQ: Benchmarking IR Models for Bilingual Web Search with Mixed Language Queries
• Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?
• ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM
• MotionGPT3: Human Motion as a Second Modality
• CrossRay3D: Geometry and Distribution Guidance for Efficient Multimodal 3D Detection
• IAD-GPT: Advancing Visual Knowledge in Multimodal Large Language Model for Industrial Anomaly Detection
• StripRFNet: A Strip Receptive Field and Shape-Aware Network for Road Damage Detection
• ObjectTransforms for Uncertainty Quantification and Reduction in Vision-Based Perception for Autonomous Vehicles
• C-arm Guidance: A Self-supervised Approach To Automated Positioning During Stroke Thrombectomy
• DuetMatch: Harmonizing Semi-Supervised Brain MRI Segmentation via Decoupled Branch Optimization
• Automated C-Arm Positioning via Conformal Landmark Localization
• Cost Savings from Automatic Quality Assessment of Generated Images
• Data-Centric AI for Tropical Agricultural Mapping: Challenges, Strategies and Scalable Solutions
• StretchySnake: Flexible SSM Training Unlocks Action Recognition Across Spatio-Temporal Scales
• VM-BeautyNet: A Synergistic Ensemble of Vision Transformer and Mamba for Facial Beauty Prediction
• Designing a Convolutional Neural Network for High-Accuracy Oral Cavity Squamous Cell Carcinoma (OCSCC) Detection
• Embody 3D: A Large-scale Multimodal Motion and Behavior Dataset
• Proactive Scene Decomposition and Reconstruction
• Stroke2Sketch: Harnessing Stroke Attributes for Training-Free Sketch Generation
• Scaling Laws for Deepfake Detection
• Scale-DiT: Ultra-High-Resolution Image Generation with Hierarchical Local Attention
• TokenAR: Multiple Subject Generation via Autoregressive Token-level enhancement
• On the Provable Importance of Gradients for Language-Assisted Image Clustering
• MIRAD - A comprehensive real-world robust anomaly detection dataset for Mass Individualization
• Demeter: A Parametric Model of Crop Plant Morphology from the Real World
• REALM: An MLLM-Agent Framework for Open World 3D Reasoning Segmentation and Editing on Gaussian Splatting
• LightGlueStick: a Fast and Robust Glue for Joint Point-Line Matching
• RefAtomNet++: Advancing Referring Atomic Video Action Recognition using Semantic Retrieval based Multi-Trajectory Mamba
• Enhancing Rotated Object Detection via Anisotropic Gaussian Bounding Box and Bhattacharyya Distance
• Instance-Aware Pseudo-Labeling and Class-Focused Contrastive Learning for Weakly Supervised Domain Adaptive Segmentation of Electron Microscopy
• NavQ: Learning a Q-Model for Foresighted Vision-and-Language Navigation
• HGC-Avatar: Hierarchical Gaussian Compression for Streamable Dynamic 3D Avatars
• PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal Inconsistencies
• OOS-DSD: Improving Out-of-stock Detection in Retail Images using Auxiliary Tasks
• Fit for Purpose? Deepfake Detection in the Real World
• VisionSelector: End-to-End Learnable Visual Token Compression for Efficient Multimodal LLMs
• Self-Supervised Learning to Fly using Efficient Semantic Segmentation and Metric Depth Estimation for Low-Cost Autonomous UAVs
• MultiVerse: A Multi-Turn Conversation Benchmark for Evaluating Large Vision and Language Models
• HYDRA: HYbrid knowledge Distillation and spectral Reconstruction Algorithm for high channel hyperspectral camera applications
• SDPA++: A General Framework for Self-Supervised Denoising with Patch Aggregation
• Vision-Centric 4D Occupancy Forecasting and Planning via Implicit Residual World Models
• UKANFormer: Noise-Robust Semantic Segmentation for Coral Reef Mapping via a Kolmogorov-Arnold Network-Transformer Hybrid
• A Comprehensive Survey on World Models for Embodied AI
• Visual Autoregressive Models Beat Diffusion Models on Inference Time Scaling
• WaMaIR: Image Restoration via Multiscale Wavelet Convolutions and Mamba-based Channel Modeling with Texture Enhancement
• GS2POSE: Marry Gaussian Splatting to 6D Object Pose Estimation
• Segmentation as A Plug-and-Play Capability for Frozen Multimodal LLMs
• Unsupervised Monocular Road Segmentation for Autonomous Driving via Scene Geometry
• Personalized Image Filter: Mastering Your Photographic Style
• An RGB-D Image Dataset for Lychee Detection and Maturity Classification for Robotic Harvesting
• Robust Cross-Domain Adaptation in Texture Features Transferring for Wood Chip Moisture Content Prediction
• From Mannequin to Human: A Pose-Aware and Identity-Preserving Video Generation Framework for Lifelike Clothing Display
• 2DGS-R: Revisiting the Normal Consistency Regularization in 2D Gaussian Splatting
• BARL: Bilateral Alignment in Representation and Label Spaces for Semi-Supervised Volumetric Medical Image Segmentation
• Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection
• Uncovering Brain-Like Hierarchical Patterns in Vision-Language Models through fMRI-Based Neural Encoding
• Class-N-Diff: Classification-Induced Diffusion Model Can Make Fair Skin Cancer Diagnosis
• Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback
• Contrail-to-Flight Attribution Using Ground Visible Cameras and Flight Surveillance Data
• Beyond RGB: Leveraging Vision Transformers for Thermal Weapon Segmentation
• Training-free Online Video Step Grounding
• An empirical study of the effect of video encoders on Temporal Video Grounding
• Do Satellite Tasks Need Special Pretraining?
• Enrich and Detect: Video Temporal Grounding with Multimodal LLMs
• Where, Not What: Compelling Video LLMs to Learn Geometric Causality for 3D-Grounding
• Conditional Synthetic Live and Spoof Fingerprint Generation
• Click, Predict, Trust: Clinician-in-the-Loop AI Segmentation for Lung Cancer CT-Based Prognosis within the Knowledge-to-Action Framework
• Person Re-Identification via Generalized Class Prototypes
• How Universal Are SAM2 Features?
• ProDAT: Progressive Density-Aware Tail-Drop for Point Cloud Coding
• Towards a Generalizable Fusion Architecture for Multimodal Object Detection
• GSPlane: Concise and Accurate Planar Reconstruction via Structured Representation
• Boosting Fidelity for Pre-Trained-Diffusion-Based Low-Light Image Enhancement via Condition Refinement
• Towards Imperceptible Watermarking Via Environment Illumination for Consumer Cameras
• KineDiff3D: Kinematic-Aware Diffusion for Category-Level Articulated Object Shape Reconstruction and Generation
• Investigating Adversarial Robustness against Preprocessing used in Blackbox Face Recognition
• Generation then Reconstruction: Accelerating Masked Autoregressive Models via Two-Stage Sampling
• Capturing Head Avatar with Hand Contacts from a Monocular Video
• HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery
• EndoCIL: A Class-Incremental Learning Framework for Endoscopic Image Classification
• Optimizing DINOv2 with Registers for Face Anti-Spoofing
• Enhanced Motion Forecasting with Plug-and-Play Multimodal Large Language Models
• SG-CLDFF: A Novel Framework for Automated White Blood Cell Classification and Segmentation
• Machine Vision-Based Surgical Lighting System:Design and Implementation
• Exploring Structural Degradation in Dense Representations for Self-supervised Learning
• LongInsightBench: A Comprehensive Benchmark for Evaluating Omni-Modal Models on Human-Centric Long-Video Understanding
• CausalMamba: Scalable Conditional State Space Models for Neural Causal Inference
• A Single Set of Adversarial Clothes Breaks Multiple Defense Methods in the Physical World
• iDETEX: Empowering MLLMs for Intelligent DETailed EXplainable IQA
• Nearest-Class Mean and Logits Agreement for Wildlife Open-Set Recognition
• Exploring The Missing Semantics In Event Modality
• Beyond Real Faces: Synthetic Datasets Can Achieve Reliable Recognition Performance without Privacy Compromise
• Facial Expression-based Parkinson's Disease Severity Diagnosis via Feature Fusion and Adaptive Class Balancing
• Closed-Loop Transfer for Weakly-supervised Affordance Grounding
• Monitoring Horses in Stalls: From Object to Event Detection
• DeepDetect: Learning All-in-One Dense Keypoints
• Leveraging AV1 motion vectors for Fast and Dense Feature Matching
• Rethinking Nighttime Image Deraining via Learnable Color Space Transformation
• Initialize to Generalize: A Stronger Initialization Pipeline for Sparse-View 3DGS
• Split-Fuse-Transport: Annotation-Free Saliency via Dual Clustering and Optimal Transport Alignment
• WP-CrackNet: A Collaborative Adversarial Learning Framework for End-to-End Weakly-Supervised Road Crack Detection
• PAGE-4D: Disentangled Pose and Geometry Estimation for 4D Perception
• Expose Camouflage in the Water: Underwater Camouflaged Instance Segmentation and Dataset
• ShapeCraft: LLM Agents for Structured, Textured and Interactive 3D Modeling
• Integrating BIM and UAV-based photogrammetry for Automated 3D Structure Model Segmentation
• One Dinomaly2 Detect Them All: A Unified Framework for Full-Spectrum Unsupervised Anomaly Detection
• Self-supervised Pre-training for Mapping of Archaeological Stone Wall in Historic Landscapes Using High-Resolution DEM Derivatives
• 4DSegStreamer: Streaming 4D Panoptic Segmentation via Dual Threads
• Towards 3D Objectness Learning in an Open World
• Elastic ViTs from Pretrained Models without Retraining
• Automatic Classification of Circulating Blood Cell Clusters based on Multi-channel Flow Cytometry Imaging
• Raindrop GS: A Benchmark for 3D Gaussian Splatting under Raindrop Conditions
• Can Image-To-Video Models Simulate Pedestrian Dynamics?
• Joint Multi-Condition Representation Modelling via Matrix Factorisation for Visual Place Recognition
• SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference
• ConsistEdit: Highly Consistent and Precise Training-free Visual Editing
• Patronus: Safeguarding Text-to-Image Models against White-Box Adversaries
• Filtering of Small Components for Isosurface Generation
• Unlocking Off-the-Grid Sparse Recovery with Unlimited Sensing: Simultaneous Super-Resolution in Time and Amplitude
• Shape-aware Inertial Poser: Motion Tracking for Humans with Diverse Shapes Using Sparse Inertial Sensors
• DiffVLA++: Bridging Cognitive Reasoning and End-to-End Driving through Metric-Guided Alignment
• Detecting streaks in smart telescopes images with Deep Learning
• Conveying Meaning through Gestures: An Investigation into Semantic Co-Speech Gesture Generation
• ImaGGen: Zero-Shot Generation of Co-Speech Semantic Gestures Grounded in Language and Image Input
• Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
• Bayesian Computation in Deep Learning
• Weak-to-Strong Generalization Even in Random Feature Networks, Provably
• LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
• From Equations to Insights: Unraveling Symbolic Structures in PDEs with LLMs
• Physics-Informed Deep B-Spline Networks
• LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation
• Score-based deterministic density sampling
• Challenges and proposed solutions in modeling multimodal data: A systematic review
• A Generic Framework for Conformal Fairness
• UFT: Unifying Supervised and Reinforcement Fine-Tuning
• PICT -- A Differentiable, GPU-Accelerated Multi-Block PISO Solver for Simulation-Coupled Learning Tasks in Fluid Dynamics
• HERO: Heterogeneous Continual Graph Learning via Meta-Knowledge Distillation
• Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs
• Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes
• Navigating the Latent Space Dynamics of Neural Models
• Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback
• Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction
• Progressive Tempering Sampler with Diffusion
• BLUR: A Bi-Level Optimization Approach for LLM Unlearning
• FlexQuant: A Flexible and Efficient Dynamic Precision Switching Framework for LLM Quantization
• GeoRecon: Graph-Level Representation Learning for 3D Molecules via Reconstruction-Based Pretraining
• Improving Rectified Flow with Boundary Conditions
• Online Learning of Whittle Indices for Restless Bandits with Non-Stationary Transition Kernels
• ESSA: Evolutionary Strategies for Scalable Alignment
• Greedy Low-Rank Gradient Compression for Distributed Learning with Convergence Guarantees
• MatPROV: A Provenance Graph Dataset of Material Synthesis Extracted from Scientific Literature
• Robust Anomaly Detection through Multi-Modal Autoencoder Fusion for Small Vehicle Damage Detection
• Federated Conditional Conformal Prediction via Generative Models
• Going with the Flow: Approximating Banzhaf Values via Graph Neural Networks
• SWIR-LightFusion: Multi-spectral Semantic Fusion of Synthetic SWIR with Thermal IR (LWIR/MWIR) and RGB
• Deep learning based numerical approximation algorithms for stochastic partial differential equations
• The Moral Foundations Reddit Corpus
• FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations
• Predicting Patient Recovery or Mortality Using Deep Neural Decision Tree and Forest
• Conformal online model aggregation
• Neural Dynamic Data Valuation: A Stochastic Optimal Control Approach
• Approximately-symmetric neural networks for quantum spin liquids
• GIST: Greedy Independent Set Thresholding for Max-Min Diversification with Submodular Utility
• Estimating Treatment Effects under Recommender Interference: A Structured Neural Networks Approach
• GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model
• Accelerating MRI with Longitudinally-informed Latent Posterior Sampling
• Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees
• Invertible ResNets for Inverse Imaging Problems: Competitive Performance with Provable Regularization Properties
• Flow Matching for Accelerated Simulation of Atomic Transport in Crystalline Materials
• Learning Counterfactual Distributions via Kernel Nearest Neighbors
• Emergent field theories from neural networks
• Delta-Influence: Unlearning Poisons via Influence Functions
• What should a neuron aim for? Designing local objective functions based on information theory
• Auto-Prompt Generation is Not Robust: Prompt Optimization Driven by Pseudo Gradient
• Improved Approximation Algorithms for Low-Rank Problems Using Semidefinite Optimization
• Efficient and Responsible Adaptation of Large Language Models for Robust and Equitable Top-k Recommendations
• Time-Varying Bayesian Optimization Without a Metronome
• Large Language Diffusion Models
• Nonlinear energy-preserving model reduction with lifting transformations that quadratize the energy
• DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection
• Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey
• Subgradient Method for System Identification with Non-Smooth Objectives
• Fine-Grained Classification: Connecting Metadata via Cross-Contrastive Pre-Training
• Traceback of Poisoning Attacks to Retrieval-Augmented Generation
• Statistical Decision Theory with Counterfactual Loss
• Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems
• Path Gradients after Flow Matching
• Asymptotic Performance of Time-Varying Bayesian Optimization
• Hyperspectral Anomaly Detection Fused Unified Nonconvex Tensor Ring Factors Regularization
• A deep solver for backward stochastic Volterra integral equations
• A Pure Hypothesis Test for Inhomogeneous Random Graph Models Based on a Kernelised Stein Discrepancy
• ToMAP: Training Opponent-Aware LLM Persuaders with Theory of Mind
• Rao-Blackwellised Reparameterisation Gradients
• A Principled Path to Fitted Distributional Evaluation
• Quantum Reinforcement Learning Trading Agent for Sector Rotation in the Taiwan Stock Market
• Critically-Damped Higher-Order Langevin Dynamics for Generative Modeling
• A fast algorithm for solving the lasso problem exactly without homotopy using differential inclusions
• Observation-guided Interpolation Using Graph Neural Networks for High-Resolution Nowcasting in Switzerland
• Who Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented Generation
• Spacing Test for Fused Lasso
• In Generative AI We (Dis)Trust? Computational Analysis of Trust and Distrust in Reddit Discussions
• EgMM-Corpus: A Multimodal Vision-Language Dataset for Egyptian Culture
• Towards Low-Resource Alignment to Diverse Perspectives with Sparse Feedback
• Instant Personalized Large Language Model Adaptation via Hypernetwork
• Utilising Large Language Models for Generating Effective Counter Arguments to Anti-Vaccine Tweets
• FrugalPrompt: Reducing Contextual Overhead in Large Language Models via Token Attribution
• TrajSelector: Harnessing Latent Representations for Efficient and Effective Best-of-N in Large Reasoning Model
• RAVEN: Robust Advertisement Video Violation Temporal Grounding via Reinforcement Reasoning
• Agree, Disagree, Explain: Decomposing Human Label Variation in NLI through the Lens of Explanations
• Check Yourself Before You Wreck Yourself: Selectively Quitting Improves LLM Agent Safety
• ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation
• Hallucination Benchmark for Speech Foundation Models
• Fine-tuning of Large Language Models for Constituency Parsing Using a Sequence to Sequence Approach
• Temporal Understanding under Deictic Frame of Reference
• Investigating the Impact of Rationales for LLMs on Natural Language Understanding
• so much depends / upon / a whitespace: Why Whitespace Matters for Poets and LLMs
• Enhancing Language Agent Strategic Reasoning through Self-Play in Adversarial Games
• Cross-Genre Authorship Attribution via LLM-Based Retrieve-and-Rerank
• Does Visual Grounding Enhance the Understanding of Embodied Knowledge in Large Language Models?
• ChiKhaPo: A Large-Scale Multilingual Benchmark for Evaluating Lexical Comprehension and Generation in Large Language Models
• Prompt-MII: Meta-Learning Instruction Induction for LLMs
• Back to Bytes: Revisiting Tokenization Through UTF-8
• Vocab Diet: Reshaping the Vocabulary of LLMs with Vector Arithmetic
• Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization
• DiscoTrack: A Multilingual LLM Benchmark for Discourse Tracking
• SafeSearch: Do Not Trade Safety for Utility in LLM Search Agents
• Rethinking On-policy Optimization for Query Augmentation
• When AI companions become witty: Can human brain recognize AI-generated irony?
• Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting
• StreamingThinker: Large Language Models Can Think While Reading
• From Preferences to Prejudice: The Role of Alignment Tuning in Shaping Social Bias in Video Diffusion Models
• Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations
• TaxoAlign: Scholarly Taxonomy Generation Using Language Models
• Addressing Antisocial Behavior in Multi-Party Dialogs Through Multimodal Representation Learning
• The Atomic Instruction Gap: Instruction-Tuned LLMs Struggle with Simple, Self-Contained Directives
• Agentic Reinforcement Learning for Search is Unsafe
• Multilingual Clinical NER for Diseases and Medications Recognition in Cardiology Texts using BERT Embeddings
• Evaluating Large Language Models on Urdu Idiom Translation
• Disparities in Multilingual LLM-Based Healthcare Q&A
• ReXMoE: Reusing Experts with Minimal Overhead in Mixture-of-Experts
• Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agents
• Deep Self-Evolving Reasoning
• Lingua Custodi's participation at the WMT 2025 Terminology shared task
• Annotation-Efficient Universal Honesty Alignment
• When Annotators Disagree, Topology Explains: Mapper, a Topological Tool for Exploring Text Embedding Geometry and Ambiguity
• Language Confusion Gate: Language-Aware Decoding Through Model Self-Distillation
• LawChain: Modeling Legal Reasoning Chains for Chinese Tort Case Analysis
• Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models
• Qomhra: A Bilingual Irish-English Large Language Model
• Towards Mining Effective Pedagogical Strategies from Learner-LLM Educational Dialogues
• QueST: Incentivizing LLMs to Generate Difficult Problems
• Evaluating Medical LLMs by Levels of Autonomy: A Survey Moving from Benchmarks to Applications
• HealthDial: A No-Code LLM-Assisted Dialogue Authoring Tool for Healthcare Virtual Agents
• PrivacyPAD: A Reinforcement Learning Framework for Dynamic Privacy-Aware Delegation
• SIADAFIX: issue description response for adaptive program repair
• Cerberus: Real-Time Video Anomaly Detection via Cascaded Vision-Language Models
• Investigating the Association Between Text-Based Indications of Foodborne Illness from Yelp Reviews and New York City Health Inspection Outcomes (2023)
• What Questions Should Robots Be Able to Answer? A Dataset of User Questions for Explainable Robotics
• Verifiable Fine-Tuning for LLMs: Zero-Knowledge Training Proofs Bound to Data Provenance and Policy
• Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input
• A Prototypical Network with an Attention-based Encoder for Drivers Identification Application
• Adaptive Discretization for Consistency Models
• Uncertainty-aware data assimilation through variational inference
• Breaking and Fixing Defenses Against Control-Flow Hijacking in Multi-Agent Systems
• Symmetries in PAC-Bayesian Learning
• Disentanglement Beyond Static vs. Dynamic: A Benchmark and Evaluation Framework for Multi-Factor Sequential Representations
• Model Metamers Reveal Invariances in Graph Neural Networks
• Beyond Binary Out-of-Distribution Detection: Characterizing Distributional Shifts with Multi-Statistic Diffusion Trajectories
• Latent Spaces Beyond Synthesis: From GANs to Diffusion Models
• Exploration via Feature Perturbation in Contextual Bandits
• Finite-Time Bounds for Average-Reward Fitted Q-Iteration
• MILES: Modality-Informed Learning Rate Scheduler for Balancing Multimodal Learning
• RINS-T: Robust Implicit Neural Solvers for Time Series Linear Inverse Problems
• S4ECG: Exploring the impact of long-range interactions for arrhythmia prediction
• A Conditional Diffusion Model for Probabilistic Prediction of Battery Capacity Degradation
• Diffusion Models as Dataset Distillation Priors
• Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models
• Explainable AI for microseismic event detection
• CrossStateECG: Multi-Scale Deep Convolutional Network with Attention for Rest-Exercise ECG Biometrics
• Towards geological inference with process-based and deep generative modeling, part 2: inversion of fluvial deposits and latent-space disentanglement
• Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization
• Local properties of neural networks through the lens of layer-wise Hessians
• Stochastic Difference-of-Convex Optimization with Momentum
• Convergence Rates for Gradient Descent on the Edge of Stability in Overparametrised Least Squares
• SAFE-D: A Spatiotemporal Detection Framework for Abnormal Driving Among Parkinson's Disease-like Drivers
• Curiosity Meets Cooperation: A Game-Theoretic Approach to Long-Tail Multi-Label Learning
• Mitigating Clever Hans Strategies in Image Classifiers through Generating Counterexamples
• How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime?
• Reliable Inference in Edge-Cloud Model Cascades via Conformal Alignment
• TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
• The Free Transformer
• Formally Exploring Time-Series Anomaly Detection Evaluation Metrics
• Semi-supervised Latent Bayesian Optimization for Designing Antimicrobial Peptides
• ZACH-ViT: A Zero-Token Vision Transformer with ShuffleStrides Data Augmentation for Robust Lung Ultrasound Classification
• Handling Extreme Class Imbalance: Using GANs in Data Augmentation for Suicide Prediction
• Efficient Algorithms for Mitigating Uncertainty and Risk in Reinforcement Learning
• Enabling Fine-Grained Operating Points for Black-Box LLMs
• Atlas-based Manifold Representations for Interpretable Riemannian Machine Learning
• Inference-Time Compute Scaling For Flow Matching
• Functional Distribution Networks (FDN)
• Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarks
• Geometric Dynamics of Consumer Credit Cycles: A Multivector-based Linear-Attention Framework for Explanatory Economic Analysis
• LLM-VeriPPA: Power, Performance, and Area Optimization aware Verilog Code Generation with Large Language Models
• Bitcoin Price Forecasting Based on Hybrid Variational Mode Decomposition and Long Short Term Memory Network
• Quantum and Classical Machine Learning in Decentralized Finance: Comparative Evidence from Multi-Asset Backtesting of Automated Market Makers
• TeLLMe v2: An Efficient End-to-End Ternary LLM Prefill and Decode Accelerator with Table-Lookup Matmul on Edge FPGAs
• Dynamic Factor Analysis of Price Movements in the Philippine Stock Exchange
• Attention to Non-Adopters
• Aligning Language Models with Investor and Market Behavior for Financial Recommendations
• The Invisible Handshake: Tacit Collusion between Adaptive Market Agents
• Convolutional Attention in Betting Exchange Markets
• Data for Inclusion: The Redistributive Power of Data Economics
• AGNES: Adaptive Graph Neural Network and Dynamic Programming Hybrid Framework for Real-Time Nanopore Seed Chaining
• A Storm-Centric 250 m NEXRAD Level-II Dataset for High-Resolution ML Nowcasting
• A Novel GPT-Based Framework for Anomaly Detection in System Logs
• Differentiable, Bit-shifting, and Scalable Quantization without training neural network from scratch
• Identifying multi-omics interactions for lung cancer drug targets discovery using Kernel Machine Regression
• Facts in Stats: Impacts of Pretraining Diversity on Language Model Generalization
• The Hidden Cost of Modeling P(X): Vulnerability to Membership Inference Attacks in Generative Text Classifiers
• Learning density ratios in causal inference using Bregman-Riesz regression
• The Cultural Mapping and Pattern Analysis (CMAP) Visualization Toolkit: Open Source Text Analysis for Qualitative and Computational Social Science
• Extending Prediction-Powered Inference through Conformal Prediction
• Personalized Collaborative Learning with Affinity-Based Variance Reduction
• DiffusionX: Efficient Edge-Cloud Collaborative Image Generation with Multi-Round Prompt Evolution
• RL makes MLLMs see better than SFT
• MLCPD: A Unified Multi-Language Code Parsing Dataset with Universal AST Schema
• iWatchRoadv2: Pothole Detection, Geospatial Mapping, and Intelligent Road Governance
• Blending Learning to Rank and Dense Representations for Efficient and Effective Cascades
• AoI-Aware Task Offloading and Transmission Optimization for Industrial IoT Networks: A Branching Deep Reinforcement Learning Approach
• A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators
• VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
• Edge-Based Speech Transcription and Synthesis for Kinyarwanda and Swahili Languages
• From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extraction
• Multi-Marginal Schr\"odinger Bridge Matching
• Accelerated Learning on Large Scale Screens using Generative Library Models
• A three-step machine learning approach to predict market bubbles with financial news
• A Versatile Framework for Designing Group-Sparse Adversarial Attacks
• ARCO-BO: Adaptive Resource-aware COllaborative Bayesian Optimization for Heterogeneous Multi-Agent Design
• Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence
• Universal and Transferable Attacks on Pathology Foundation Models
• Robust Dynamic Staffing with Predictions
• Infinite Neural Operators: Gaussian processes on functions
• Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
• DistilLock: Safeguarding LLMs from Unauthorized Knowledge Distillation on the Edge
• U-Codec: Ultra Low Frame-rate Neural Speech Codec for Fast High-fidelity Speech Generation
• Local regression on path spaces with signature metrics
• A Control-Theoretic Approach to Dynamic Payment Routing for Success Rate Optimization
• Kernel-Based Nonparametric Tests For Shape Constraints
• Prominence-Aware Artifact Detection and Dataset for Image Super-Resolution
• Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games
• Black-box Optimization of LLM Outputs by Asking for Directions
• Prediction-Augmented Trees for Reliable Statistical Inference
• A Topological Approach to Parameterizing Deep Hedging Networks
• Adaptive Sample Sharing for Linear Regression
• Bits Leaked per Query: Information-Theoretic Bounds on Adversarial Attacks against LLMs
• Extended LSTM: Adaptive Feature Gating for Toxic Comment Classification
• Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
• Mode Collapse of Mean-Field Variational Inference
• Convergence of Regret Matching in Potential Games and Constrained Optimization
• DFNN: A Deep Fr\'echet Neural Network Framework for Learning Metric-Space-Valued Responses
• HyperSearch: Prediction of New Hyperedges through Unconstrained yet Efficient Search
• QR\"iS: A Preemptive Novel Method for Quishing Detection Through Structural Features of QR
• High-Level Multi-Robot Trajectory Planning And Spurious Behavior Detection
• Fair and Interpretable Deepfake Detection in Videos
• Optimal Best Arm Identification under Differential Privacy
• M2H: Multi-Task Learning with Efficient Window-Based Cross-Task Attention for Monocular Spatial Perception
• Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs
• Quantifying Climate Policy Action and Its Links to Development Outcomes: A Cross-National Data-Driven Analysis
• Estimating Orbital Parameters of Direct Imaging Exoplanet Using Neural Network
• Certified Self-Consistency: Statistical Guarantees and Test-Time Training for Reliable Reasoning in LLMs
• DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning
• AWARE: Audio Watermarking with Adversarial Resistance to Edits
• Plasma Shape Control via Zero-shot Generative Reinforcement Learning
• OncoReason: Structuring Clinical Reasoning in LLMs for Robust and Interpretable Survival Prediction
• Non-asymptotic error bounds for probability flow ODEs under weak log-concavity
• Just-In-Time Piecewise-Linear Semantics for ReLU-type Networks
• Quantum Federated Learning: Architectural Elements and Future Directions
• Quantum Synthetic Data Generation for Industrial Bioprocess Monitoring
• GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver
• The Marked Edge Walk: A Novel MCMC Algorithm for Sampling of Graph Partitions
• Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations
• Efficient Tensor Completion Algorithms for Highly Oscillatory Operators
• VERA-V: Variational Inference Framework for Jailbreaking Vision-Language Models
• Glyph: Scaling Context Windows via Visual-Text Compression
• HUMAP: Hierarchical Uniform Manifold Approximation and Projection
• Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds
• Transfer Q-learning
• UniCrossFi: A Unified Framework For Cross-Domain Wi-Fi-based Gesture Recognition
• Neural Green's Operators for Parametric Partial Differential Equations
• Absolute abstraction: a renormalisation group approach
• Identifiable Latent Bandits: Leveraging observational data for personalized decision-making
• Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Survey of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems
• Solving Oscillator Ordinary Differential Equations in the Time Domain with High Performance via Soft-constrained Physics-informed Neural Network with Small Data
• Channel Matters: Estimating Channel Influence for Multivariate Time Series
• Riemannian Federated Learning via Averaging Gradient Streams
• Intrinsic Dimensionality of Fermi-Pasta-Ulam-Tsingou High-Dimensional Trajectories Through Manifold Learning: A Linear Approach
• OneProt: Towards Multi-Modal Protein Foundation Models
• SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI
• Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization
• A Survey and Benchmarking of Spatial-Temporal Traffic Data Imputation Models
• CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attention
• KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity
• Boosting Graph Robustness Against Backdoor Attacks: An Over-Similarity Perspective
• Membership Inference Attack Should Move On to Distributional Statistics for Distilled Generative Models
• Fire-EnSF: Wildfire Spread Data Assimilation using Ensemble Score Filter
• Hydrogen production from blended waste biomass: pyrolysis, thermodynamic-kinetic analysis and AI-based modelling
• User Profiles of Sleep Disorder Sufferers: Towards Explainable Clustering and Differential Variable Analysis
• STAR: Boosting Time Series Foundation Models for Anomaly Detection through State-aware Adapter
• Decision-focused Sensing and Forecasting for Adaptive and Rapid Flood Response: An Implicit Learning Approach
• Transfer learning strategies for accelerating reinforcement-learning-based flow control
• Airfoil optimization using Design-by-Morphing with minimized design-space dimensionality
• Feature-driven reinforcement learning for photovoltaic in continuous intraday trading
• Breaking Memorization Barriers in LLM Code Fine-Tuning via Information Bottleneck for Improved Generalization
• Unifying Polymer Modeling and Design via a Conformation-Centric Generative Foundation Model
• A tutorial on discovering and quantifying the effect of latent causal sources of multimodal EHR data
• Near-Equilibrium Propagation training in nonlinear wave systems
• FSRF: Factorization-guided Semantic Recovery for Incomplete Multimodal Sentiment Analysis
• Zero-shot World Models via Search in Memory
• A Minimal-Assumption Analysis of Q-Learning with Time-Varying Policies
• Expert Merging in Sparse Mixture of Experts with Nash Bargaining
• Zeroth-Order Sharpness-Aware Learning with Exponential Tilting
• Still Competitive: Revisiting Recurrent Models for Irregular Time Series Prediction
• AtomBench: A Benchmark for Generative Atomic Structure Models using GPT, Diffusion, and Flow Architectures
• Alignment is Localized: A Causal Probe into Preference Layers
• Human-Allied Relational Reinforcement Learning
• Explore-then-Commit for Nonstationary Linear Bandits with Latent Dynamics
• Benchmarking noisy label detection methods
• One-Bit Quantization for Random Features Models
• WEBSERV: A Browser-Server Environment for Efficient Training of Reinforcement Learning-based Web Agents at Scale
• QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models
• Toward General Digraph Contrastive Learning: A Dual Spatial Perspective
• Memorizing Long-tail Data Can Help Generalization Through Composition
• MGTS-Net: Exploring Graph-Enhanced Multimodal Fusion for Augmented Time Series Forecasting
• Sparse Transformer Architectures via Regularized Wasserstein Proximal Operator with $L_1$ Prior
• Colliding with Adversaries at ECML-PKDD 2025 Adversarial Attack Competition 1st Prize Solution
• Colliding with Adversaries at ECML-PKDD 2025 Model Robustness Competition 1st Prize Solution
• Buzz, Choose, Forget: A Meta-Bandit Framework for Bee-Like Decision Making
• SCALAR: Self-Calibrating Adaptive Latent Attention Representation Learning
• eDCF: Estimating Intrinsic Dimension using Local Connectivity
• Realizing LLMs' Causal Potential Requires Science-Grounded, Novel Benchmarks
• NeurIPT: Foundation Model for Neural Interfaces
• Copy-Augmented Representation for Structure Invariant Template-Free Retrosynthesis
• On the Impossibility of Retrain Equivalence in Machine Unlearning
• Simulation-free Structure Learning for Stochastic Dynamics
• Evaluating protein binding interfaces with PUMBA
• Active Target Discovery under Uninformative Prior: The Power of Permanent and Transient Memory
• High-Dimensional Privacy-Utility Dynamics of Noisy Stochastic Gradient Descent on Least Squares
• CLIP: Client-Side Invariant Pruning for Mitigating Stragglers in Secure Federated Learning
• Resolution-Aware Retrieval Augmented Zero-Shot Forecasting
• LSTM-Based Forecasting and Analysis of EV Charging Demand in a Dense Urban Campus
• Zero-Shot Performance Prediction for Probabilistic Scaling Laws
• An Efficient Semantic Segmentation Decoder for In-Car or Distributed Applications
• 3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding
• Computational Budget Should Be Considered in Data Selection
• Graph Learning is Suboptimal in Causal Bandits
• Trace Regularity PINNs: Enforcing $\mathrm{H}^{\frac{1}{2}}(\partial \Omega)$ for Boundary Data
• Finding Manifolds With Bilinear Autoencoders
• ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning
• UniGTE: Unified Graph-Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains
• DeepChem Equivariant: SE(3)-Equivariant Support in an Open-Source Molecular Machine Learning Library
• SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search
• Closing the Curvature Gap: Full Transformer Hessians and Their Implications for Scaling Laws
• Differentially Private Linear Regression and Synthetic Data Generation with Statistical Guarantees
• Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision
• MuonBP: Faster Muon via Block-Periodic Orthogonalization
• Graph4MM: Weaving Multimodal Learning with Structural Information
• EEschematic: Multimodal-LLM Based AI Agent for Schematic Generation of Analog Circuit
• Forgetting to Forget: Attention Sink as A Gateway for Backdooring LLM Unlearning
• Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation
• Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability
• Consistent Zero-Shot Imitation with Contrastive Goal Inference
• Data Reliability Scoring
• On the Universal Near Optimality of Hedge in Combinatorial Settings
• Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback
• Fighter: Unveiling the Graph Convolutional Nature of Transformers in Time Series Modeling
• Matricial Free Energy as a Gaussianizing Regularizer: Enhancing Autoencoders for Gaussian Code Generation
• Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control
• In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models
• Learning After Model Deployment
• ALPINE: A Lightweight and Adaptive Privacy-Decision Agent Framework for Dynamic Edge Crowdsensing
• Robustness in Text-Attributed Graph Learning: Insights, Trade-offs, and New Defenses
• A Standardized Benchmark for Machine-Learned Molecular Dynamics using Weighted Ensemble Sampling
• SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference
• CooT: Learning to Coordinate In-Context with Coordination Transformers
• Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
• A Markovian Framing of WaveFunctionCollapse for Procedurally Generating Aesthetically Complex Environments
• From Next Token Prediction to (STRIPS) World Models -- Preliminary Results
• Graph Neural Networks for the Offline Nanosatellite Task Scheduling Problem
• Membership Privacy Risks of Sharpness Aware Minimization
• Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints
• LinkedIn Post Embeddings: Industrial Scale Embedding Generation and Usage across LinkedIn
• Predicting High-precision Depth on Low-Precision Devices Using 2D Hilbert Curves
• Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation
• Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models
• Exploration of Marker-Based Approaches in Argument Mining through Augmented Natural Language
• MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning
• EasyRec: Simple yet Effective Language Models for Recommendation
• Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation
• Packet Inspection Transformer: A Self-Supervised Journey to Unseen Malware Detection with Few Samples
• A Prospect-Theoretic Policy Gradient Framework for Behaviorally Nuanced Reinforcement Learning
• Beyond Uncertainty Quantification: Learning Uncertainty for Trust-Informed Neural Network Decisions - A Case Study in COVID-19 Classification
• Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
• Parameter Efficient Fine-tuning via Explained Variance Adaptation
• HardNet: Hard-Constrained Neural Networks with Universal Approximation Guarantees
• Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering
• An Empirical Study on LLM-based Agents for Automated Bug Fixing
• Diffusion Transformers as Open-World Spatiotemporal Foundation Models
• Improving training time and GPU utilization in geo-distributed language model training
• Free$^2$Guide: Training-Free Text-to-Video Alignment using Image LVLM
• StarWhisper Telescope: An AI framework for automating end-to-end astronomical observations
• Tracing Partisan Bias to Its Emotional Fingerprints: A Computational Approach to Mitigation
• Consistency of Responses and Continuations Generated by Large Language Models on Social Media
• GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
• VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
• Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning
• Seeing in the Dark: A Teacher-Student Framework for Dark Video Action Recognition via Knowledge Distillation and Contrastive Learning
• Towards Principled Unsupervised Multi-Agent Reinforcement Learning
• Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models
• GRIFFIN: Effective Token Alignment for Faster Speculative Decoding
• Repo2Run: Automated Building Executable Environment for Code Repository at Scale
• Cross-Domain Graph Anomaly Detection via Test-Time Training with Homophily-Guided Self-Supervision
• FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis
• Large Language Models are Powerful Electronic Health Record Encoders
• Hallucination Detection in LLMs Using Spectral Features of Attention Maps
• $Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training
• Robust Deterministic Policy Gradient for Disturbance Attenuation and Its Application to Quadrotor Control
• Robust Optimization with Diffusion Models for Green Security
• GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images
• Late Fusion and Multi-Level Fission Amplify Cross-Modal Transfer in Text-Speech LMs
• The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction
• DeepSeek-Inspired Exploration of RL-based LLMs and Synergy with Wireless Networks: A Survey
• Provably Efficient Reward Transfer in Reinforcement Learning with Discrete Markov Decision Processes
• Unseen from Seen: Rewriting Observation-Instruction Using Foundation Models for Augmenting Vision-Language Navigation
• When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning
• Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction
• Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism
• LLMTaxo: Leveraging Large Language Models for Constructing Taxonomy of Factual Claims from Social Media
• CodeVisionary: An Agent-based Framework for Evaluating Large Language Models in Code Generation
• LLM-Enhanced Black-Litterman Portfolio Optimization
• Improving Coverage in Combined Prediction Sets with Weighted p-values
• Intrinsic Self-Correction in LLMs: Towards Explainable Prompting via Mechanistic Interpretability
• PsyMem: Fine-grained psychological alignment and Explicit Memory Control for Advanced Role-Playing LLMs
• When majority rules, minority loses: bias amplification of gradient descent
• Incentivizing Truthful Language Models via Peer Elicitation Games
• Hard Negatives, Hard Lessons: Revisiting Training Data Quality for Robust Information Retrieval with LLMs
• Understanding Prompt Tuning and In-Context Learning via Meta-Learning
• CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
• Towards Evaluating Proactive Risk Awareness of Multimodal Language Models
• CrossRF: A Domain-Invariant Deep Learning Approach for RF Fingerprinting
• DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation
• DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
• Efficient Large Language Model Inference with Neural Block Linearization
• RocqStar: Leveraging Similarity-driven Retrieval and Agentic Systems for Rocq generation
• VERINA: Benchmarking Verifiable Code Generation
• REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
• SATA-BENCH: Select All That Apply Benchmark for Multiple Choice Questions
• KG-TRACES: Enhancing Large Language Models with Knowledge Graph-constrained Trajectory Reasoning and Attribution Supervision
• CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching
• VisuRiddles: Fine-grained Perception is a Primary Bottleneck for Multimodal Large Language Models in Abstract Visual Reasoning
• RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics
• HauntAttack: When Attack Follows Reasoning as a Shadow
• Denoising the Future: Top-p Distributions for Moving Through Time
• Code Execution as Grounded Supervision for LLM Reasoning
• Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling
• From Multimodal Perception to Strategic Reasoning: A Survey on AI-Generated Game Commentary
• GeNIE: A Generalizable Navigation System for In-the-Wild Environments
• Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning
• From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging
• AI-Generated Video Detection via Perceptual Straightening
• DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
• Controlling What You Share: Assessing Language Model Adherence to Privacy Preferences
• Multimodal Fusion at Three Tiers: Physics-Driven Data Generation and Vision-Language Guidance for Brain Tumor Segmentation
• From Sequence to Structure: Uncovering Substructure Reasoning in Transformers
• Adaptive Policy Synchronization for Scalable Reinforcement Learning
• ReDi: Rectified Discrete Flow
• Why and How Auxiliary Tasks Improve JEPA Representations
• Pursuing Minimal Sufficiency in Spatial Reasoning
• On the Granularity of Causal Effect Identifiability
• Natural Language Processing Applications in Cardiology: A Narrative Review
• HumanCM: One Step Human Motion Prediction
• The Chameleon Nature of LLMs: Quantifying Multi-Turn Stance Instability in Search-Enabled Language Models
• Eliciting Grounded Chain-of-Thought Reasoning in 3D Scenes
• Beacon: Single-Turn Diagnosis and Mitigation of Latent Sycophancy in Large Language Models
• SAMOSA: Sharpness Aware Minimization for Open Set Active learning
• Region in Context: Text-condition Image editing with Human-like semantic reasoning
• Learning to play: A Multimodal Agent for 3D Game-Play
• EMRRG: Efficient Fine-Tuning Pre-trained X-ray Mamba Networks for Radiology Report Generation
• Xiaoice: Training-Free Video Understanding via Self-Supervised Spatio-Temporal Clustering of Semantic Features
• LC-Eval: A Bilingual Multi-Task Evaluation Benchmark for Long-Context Understanding
• More with Less: An Empirical Study of Turn-Control Strategies for Efficient Coding Agents
• MOSAIC: Masked Objective with Selective Adaptation for In-domain Contrastive Learning
• Mixed-Precision Quantization for Language Models: Techniques and Prospects
• Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads
• When Many-Shot Prompting Fails: An Empirical Study of LLM Code Translation
• Needles in the Landscape: Semi-Supervised Pseudolabeling for Archaeological Site Discovery under Label Scarcity
• Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities
• Efficient High-Accuracy PDEs Solver with the Linear Attention Neural Operator
• ReefNet: A Large scale, Taxonomically Enriched Dataset and Benchmark for Hard Coral Classification
• Who's Asking? Simulating Role-Based Questions for Conversational AI Evaluation
• Schr\"odinger Bridge Mamba for One-Step Speech Enhancement
• FinSight: Towards Real-World Financial Deep Research
• Neuronal Group Communication for Efficient Neural representation
• Agentic Inequality
• ArmFormer: Lightweight Transformer Architecture for Real-Time Multi-Class Weapon Segmentation and Classification
• DrivAerStar: An Industrial-Grade CFD Dataset for Vehicle Aerodynamic Optimization
• Fly-CL: A Fly-Inspired Framework for Enhancing Efficient Decorrelation and Reduced Training Time in Pre-trained Model-based Continual Representation Learning
• Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning
• Investigating Safety Vulnerabilities of Large Audio-Language Models Under Speaker Emotional Variations
• Adaptive Online Learning with LSTM Networks for Energy Price Prediction
• SNOMED CT-powered Knowledge Graphs for Structured Clinical Data and Diagnostic Reasoning
• A Lightweight DL Model for Smart Grid Power Forecasting with Feature and Resolution Mismatch
• Domain Generalizable Continual Learning
• SAKE: Towards Editing Auditory Attribute Knowledge of Large Audio-Language Models
• UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks
• Tutoring LLM into a Better CUDA Optimizer
• A Primer on Kolmogorov-Arnold Networks (KANs) for Probabilistic Time Series Forecasting
• Peering Inside the Black Box: Uncovering LLM Errors in Optimization Modelling through Component-Level Evaluation
• Quantile Regression, Variational Autoencoders, and Diffusion Models for Uncertainty Quantification: A Spatial Analysis of Sub-seasonal Wind Speed Prediction
• Leave It to the Experts: Detecting Knowledge Distillation via MoE Expert Signatures
• Foundation Models in Medical Image Analysis: A Systematic Review and Meta-Analysis
• One-step Diffusion Models with Bregman Density Ratio Matching
• Parameter-Efficient Fine-Tuning for Low-Resource Languages: A Comparative Study of LLMs for Bengali Hate Speech Detection
• CARE: Contrastive Alignment for ADL Recognition from Event-Triggered Sensor Streams
• ReclAIm: A multi-agent framework for degradation-aware performance tuning of medical imaging AI
• Justitia: Fair and Efficient Scheduling for LLM Applications
• Curiosity-driven RL for symbolic equation solving
• DINO-CVA: A Multimodal Goal-Conditioned Vision-to-Action Model for Autonomous Catheter Navigation
• Video Reasoning without Training
• The Ends Justify the Thoughts: RL-Induced Motivated Reasoning in LLMs
• Bitwidth-Specific Logarithmic Arithmetic for Future Hardware-Accelerated Training
• Investigating Thinking Behaviours of Reasoning-Based Language Models for Social Bias Mitigation
• Explainable Heterogeneous Anomaly Detection in Financial Networks via Adaptive Expert Routing
• Can Transformer Memory Be Corrupted? Investigating Cache-Side Vulnerabilities in Large Language Models
• Verification-Aware Planning for Multi-Agent Systems
• Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey
• DVAGen: Dynamic Vocabulary Augmented Generation
• GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
• Do LLMs Recognize Your Latent Preferences? A Benchmark for Latent Information Discovery in Personalized Interaction
• GACO-CAD: Geometry-Augmented and Conciseness-Optimized CAD Model Generation from Single Image
• TREAT: A Code LLMs Trustworthiness / Reliability Evaluation and Testing Framework
• Benchmarking Out-of-Distribution Detection for Plankton Recognition: A Systematic Evaluation of Advanced Methods in Marine Ecological Monitoring
• SimpleVSF: VLM-Scoring Fusion for Trajectory Prediction of End-to-End Autonomous Driving
• Understanding and Improving Length Generalization in Hierarchical Sparse Attention Models
• ZSPAPrune: Zero-Shot Prompt-Aware Token Pruning for Vision-Language Models
• From Pixels to People: Satellite-Based Mapping and Quantification of Riverbank Erosion and Lost Villages in Bangladesh
• Round Outcome Prediction in VALORANT Using Tactical Features from Video Analysis
• Soft-Masked Diffusion Language Models
• D2C-HRHR: Discrete Actions with Double Distributional Critics for High-Risk-High-Return Tasks
• Diagnosis of Fuel Cell Health Status with Deep Sparse Auto-Encoder Neural Network
• When One Moment Isn't Enough: Multi-Moment Retrieval with Cross-Moment Interactions
• Taming Modality Entanglement in Continual Audio-Visual Segmentation
• Visibility Allocation Systems: How Algorithmic Design Shapes Online Visibility and Societal Outcomes
• How News Feels: Understanding Affective Bias in Multilingual Headlines for Human-Centered Media Design
• Augmented Web Usage Mining and User Experience Optimization with CAWAL's Enriched Analytics Data
• FineVision: Open Data Is All You Need
• MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems
• Comprehending Spatio-temporal Data via Cinematic Storytelling using Large Language Models
• Auto-Rubric: Learning to Extract Generalizable Criteria for Reward Modeling
• CharDiff: A Diffusion Model with Character-Level Guidance for License Plate Image Restoration
• DDSC: Dynamic Dual-Signal Curriculum for Data-Efficient Acoustic Scene Classification under Domain Shift
• TopSeg: A Multi-Scale Topological Framework for Data-Efficient Heart Sound Segmentation
• Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
• Localist LLMs with Recruitment Learning
• Bridging Embodiment Gaps: Deploying Vision-Language-Action Models on Soft Robots
• Optimizing Energy Management of Smart Grid using Reinforcement Learning aided by Surrogate models built using Physics-informed Neural Networks
• TabR1: Taming GRPO for tabular reasoning LLMs
• Inference of Deterministic Finite Automata via Q-Learning
• EduAdapt: A Question Answer Benchmark Dataset for Evaluating Grade-Level Adaptability in LLMs
• Leveraging Group Relative Policy Optimization to Advance Large Language Models in Traditional Chinese Medicine
• AFRICAPTION: Establishing a New Paradigm for Image Captioning in African Languages
• BenCao: An Instruction-Tuned Large Language Model for Traditional Chinese Medicine
• Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging
• From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors
• The Parameterized Complexity of Computing the VC-Dimension
• Layer Specialization Underlying Compositional Reasoning in Transformers
• DAMSDAN: Distribution-Aware Multi-Source Domain Adaptation Network for Cross-Domain EEG-based Emotion Recognition
• SparseWorld: A Flexible, Adaptive, and Efficient 4D Occupancy World Model Powered by Sparse and Dynamic Queries
• I-RAVEN-X: Benchmarking Generalization and Robustness of Analogical and Mathematical Reasoning in Large Language and Reasoning Models
• Context-Aware Pseudo-Label Scoring for Zero-Shot Video Summarization
• The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis
• SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors
• MUG-V 10B: High-efficiency Training Pipeline for Large Video Generation Models
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• An Empirical Study of Lagrangian Methods in Safe Reinforcement Learning
• Intent-Driven LLM Ensemble Planning for Flexible Multi-Robot Disassembly: Demonstration on EV Batteries
• CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification
• HGAdapter: Hypergraph-based Adapters in Language Models for Code Summarization and Clone Detection
• GUIDE: Enhancing Gradient Inversion Attacks in Federated Learning with Denoising Models
• CaMiT: A Time-Aware Car Model Dataset for Classification and Generation
• RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation
• Frugal Federated Learning for Violence Detection: A Comparison of LoRA-Tuned VLMs and Personalized CNNs
• On-the-Fly OVD Adaptation with FLAME: Few-shot Localization via Active Marginal-Samples Exploration
• LILO: Bayesian Optimization with Interactive Natural Language Feedback
• PICABench: How Far Are We from Physically Realistic Image Editing?
• Intelligent Communication Mixture-of-Experts Boosted-Medical Image Segmentation Foundation Model
• Multilingual Text-to-Image Person Retrieval via Bidirectional Relation Reasoning and Aligning
• CrossGuard: Safeguarding MLLMs against Joint-Modal Implicit Malicious Attacks
• Improving Cross-Patient Generalization in Parkinson's Disease Detection through Chunk-Based Analysis of Hand-Drawn Patterns
• Closing the Sim2Real Performance Gap in RL
• PANER: A Paraphrase-Augmented Framework for Low-Resource Named Entity Recognition
• MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues
• Signature Forgery Detection: Improving Cross-Dataset Generalization
• AcademicEval: Live Long-Context LLM Benchmark
• A Multi-Threading Kernel for Enabling Neuromorphic Edge Applications
• Human-AI Interactions: Cognitive, Behavioral, and Emotional Impacts
• Prediction of Sea Ice Velocity and Concentration in the Arctic Ocean using Physics-informed Neural Network
• Towards Explainable Skin Cancer Classification: A Dual-Network Attention Model with Lesion Segmentation and Clinical Metadata Fusion
• Mapping Post-Training Forgetting in Language Models at Scale
• SoftMimic: Learning Compliant Whole-body Control from Examples
• Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains
• Executable Knowledge Graphs for Replicating AI Research
• Enterprise Deep Research: Steerable Multi-Agent Deep Research for Enterprise Analytics
• Unbiased Gradient Low-Rank Projection
• A Survey on Self-play Methods in Reinforcement Learning
• Fully Autonomous AI Agents Should Not be Developed
• Robust Search with Uncertainty-Aware Value Models for Language Model Reasoning
• Automated Knowledge Component Generation for Interpretable Knowledge Tracing in Coding Problems
• Online Feedback Efficient Active Target Discovery in Partially Observable Environments
• RealMath: A Continuous Benchmark for Evaluating Language Models on Research-Level Mathematics
• Ineq-Comp: Benchmarking Human-Intuitive Compositional Reasoning in Automated Theorem Proving on Inequalities
• Visual Instruction Bottleneck Tuning
• Smart Traffic Signals: Comparing MARL and Fixed-Time Strategies
• Enumerate-Conjecture-Prove: Formally Solving Answer-Construction Problems in Math Competitions
• AgentAuditor: Human-Level Safety and Security Evaluation for LLM Agents
• macOSWorld: A Multilingual Interactive Benchmark for GUI Agents
• CTR-LoRA: Curvature-Aware and Trust-Region Guided Low-Rank Adaptation for Large Language Models
• ESCA: Contextualizing Embodied Agents via Scene-Graph Generation
• Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity
• One Token Embedding Is Enough to Deadlock Your Large Reasoning Model
• Gains: Fine-grained Federated Domain Adaptation in Open Set
• Self-Attention to Operator Learning-based 3D-IC Thermal Simulation
• LinearizeLLM: An Agent-Based Framework for LLM-Driven Exact Linear Reformulation of Nonlinear Optimization Problems
• Predict Training Data Quality via Its Geometry in Metric Space
• A Graph-Attentive LSTM Model for Malicious URL Detection
• Quantum NLP models on Natural Language Inference
• Safeguarding Efficacy in Large Language Models: Evaluating Resistance to Human-Written and Algorithmic Adversarial Prompts
• Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
• Bolster Hallucination Detection via Prompt-Guided Data Augmentation
• DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
• Cog-Rethinker: Hierarchical Metacognitive Reinforcement Learning for LLM Reasoning
• AMiD: Knowledge Distillation for LLMs with $\alpha$-mixture Assistant Distribution
• MEET-Sepsis: Multi-Endogenous-View Enhanced Time-Series Representation Learning for Early Sepsis Prediction Representation Learning for Early Sepsis Prediction
• Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models
• Can GRPO Help LLMs Transcend Their Pretraining Origin?
• Stratos: An End-to-End Distillation Pipeline for Customized LLMs under Distributed Cloud Environments
• MCP Security Bench (MSB): Benchmarking Attacks Against Model Context Protocol in LLM Agents
• Using Kolmogorov-Smirnov Distance for Measuring Distribution Shift in Machine Learning
• AMStraMGRAM: Adaptive Multi-cutoff Strategy Modification for ANaGRAM
• Breaking Guardrails, Facing Walls: Insights on Adversarial AI for Defenders & Researchers
• Layer-Aware Influence for Online Data Valuation Estimation
• InfraGPT Smart Infrastructure: An End-to-End VLM-Based Framework for Detecting and Managing Urban Defects
• On-Chain Decentralized Learning and Cost-Effective Inference for DeFi Attack Mitigation
• Nondeterminism-Aware Optimistic Verification for Floating-Point Neural Networks
• Disaster Management in the Era of Agentic AI Systems: A Vision for Collective Human-Machine Intelligence for Augmented Resilience
• RoBCtrl: Attacking GNN-Based Social Bot Detectors via Reinforced Manipulation of Bots Control Interaction
• Membership Inference over Diffusion-models-based Synthetic Tabular Data
• Vector Quantization in the Brain: Grid-like Codes in World Models
• Kelle: Co-design KV Caching and eDRAM for Efficient LLM Serving in Edge Computing
• Does Capital Dream of Artificial Labour?
• AMS-QUANT: Adaptive Mantissa Sharing for Floating-point Quantization
• Open Shouldn't Mean Exempt: Open-Source Exceptionalism and Generative AI
• In the Mood to Exclude: Revitalizing Trespass to Chattels in the Era of GenAI Scraping
• GUIrilla: A Scalable Framework for Automated Desktop UI Exploration
• FUSE-Traffic: Fusion of Unstructured and Structured Data for Event-aware Traffic Forecasting
• Algorithmic Fairness in AI Surrogates for End-of-Life Decision-Making
• Fusion-Augmented Large Language Models: Boosting Diagnostic Trustworthiness via Model Consensus
• Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated?
• Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs
• Learning a Generalized Model for Substation Level Voltage Estimation in Distribution Networks
• Residual Correction Models for AC Optimal Power Flow Using DC Optimal Power Flow Solutions
• FedPURIN: Programmed Update and Reduced INformation for Sparse Personalized Federated Learning
• Cash Flow Underwriting with Bank Transaction Data: Advancing MSME Financial Inclusion in Malaysia
• Co-Designing Interdisciplinary Design Projects with AI
• Human or AI? Comparing Design Thinking Assessments by Teaching Assistants and Bots
• Effect of Reporting Mode and Clinical Experience on Radiologists' Gaze and Image Analysis Behavior in Chest Radiography
• MNO: Multiscale Neural Operator for Computational Fluid Dynamics with 3D Point Cloud Data
• Data-Driven Analysis of Intersectional Bias in Image Classification: A Framework with Bias-Weighted Augmentation
• Early-stopping for Transformer model training
• Optimization of the quantization of dense neural networks from an exact QUBO formulation
• BPL: Bias-adaptive Preference Distillation Learning for Recommender System
• Continual Knowledge Consolidation LORA for Domain Incremental Learning
• ISO/IEC-Compliant Match-on-Card Face Verification with Short Binary Templates
• EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
• TriAgent: Automated Biomarker Discovery with Deep Research Grounding for Triage in Acute Care by LLM-Based Multi-Agent Collaboration
• SARHAchat: An LLM-Based Chatbot for Sexual and Reproductive Health Counseling
• Interpretable RNA-Seq Clustering with an LLM-Based Agentic Evidence-Grounded Framework
• PassREfinder-FL: Privacy-Preserving Credential Stuffing Risk Prediction via Graph-Based Federated Learning for Representing Password Reuse between Websites
• MoPHES:Leveraging on-device LLMs as Agent for Mobile Psychological Health Evaluation and Support
• STABLE: Gated Continual Learning for Large Language Models
• Evaluating Prompting Strategies and Large Language Models in Systematic Literature Review Screening: Relevance and Task-Stage Classification
• Compressing Many-Shots in In-Context Learning
• Narrowing Action Choices with AI Improves Human Sequential Decisions
• Aria Gen 2 Pilot Dataset
• GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer
• Agentic AI for Ultra-Modern Networks: Multi-Agent Framework for RAN Autonomy and Assurance
• Publication Trend Analysis and Synthesis via Large Language Model: A Case Study of Engineering in PNAS
• AsyncVoice Agent: Real-Time Explanation for LLM Planning and Reasoning
• Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
• The Formalism-Implementation Gap in Reinforcement Learning Research
• Expressive Reward Synthesis with the Runtime Monitoring Language
• Zero-Shot Coordination in Ad Hoc Teams with Generalized Policy Improvement and Difference Rewards
• Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI
• Revealing Low-Dimensional Structure in 2D Richtmyer-Meshkov Instabilities via Parametric Reduced-Order Modeling
• SentinelNet: Safeguarding Multi-Agent Collaboration Through Credit-Based Dynamic Threat Detection
• What Can String Probability Tell Us About Grammaticality?
• Machine Learning for Climate Policy: Understanding Policy Progression in the European Green Deal
• Protein Folding with Neural Ordinary Differential Equations
• Detecting Adversarial Fine-tuning with Auditing Agents
• NEBULA: Do We Evaluate Vision-Language-Action Agents Correctly?
• MuseTok: Symbolic Music Tokenization for Generation and Semantic Understanding
• Do What You Say: Steering Vision-Language-Action Models via Runtime Reasoning-Action Alignment Verification
• Disentangling Hyperedges through the Lens of Category Theory
• Synergizing chemical and AI communities for advancing laboratories of the future
• OpenLVLM-MIA: A Controlled Benchmark Revealing the Limits of Membership Inference Attacks on Large Vision-Language Models
• Scaffold-Aware Generative Augmentation and Reranking for Enhanced Virtual Screening
• Lung Cancer Classification from CT Images Using ResNet
• Time-Embedded Algorithm Unrolling for Computational MRI
• Thinking About Thinking: Evaluating Reasoning in Post-Trained Language Models
• Manual2Skill++: Connector-Aware General Robotic Assembly from Instruction Manuals via Vision-Language Models
• End-to-End Argument Mining through Autoregressive Argumentative Structure Prediction
• Cataract-LMM: Large-Scale, Multi-Source, Multi-Task Benchmark for Deep Learning in Surgical Video Analysis
• Navigating through the hidden embedding space: steering LLMs to improve mental health assessment
• Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
• MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes
• ATA: A Neuro-Symbolic Approach to Implement Autonomous and Trustworthy Agents
• Probing the Hidden Talent of ASR Foundation Models for L2 English Oral Assessment
• SPLite Hand: Sparsity-Aware Lightweight 3D Hand Pose Estimation
• Modeling Expert Interactions in Sparse Mixture of Experts via Graph Structures
• SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning
• EDVD-LLaMA: Explainable Deepfake Video Detection via Multimodal Large Language Model Reasoning
• Input Domain Aware MoE: Decoupling Routing Decisions from Task Optimization in Mixture of Experts
• Declarative Techniques for NL Queries over Heterogeneous Data
• Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
• Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
• Image Categorization and Search via a GAT Autoencoder and Representative Models
• DIV-Nav: Open-Vocabulary Spatial Relationships for Multi-Object Navigation
• Few-Label Multimodal Modeling of SNP Variants and ECG Phenotypes Using Large Language Models for Cardiovascular Risk Stratification
• Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions
• Watch Where You Move: Region-aware Dynamic Aggregation and Excitation for Gait Recognition
• Predicting life satisfaction using machine learning and explainable AI
• LANPO: Bootstrapping Language and Numerical Feedback for Reinforcement Learning in LLMs
• Toward Understanding Security Issues in the Model Context Protocol Ecosystem
• Language over Content: Tracing Cultural Understanding in Multilingual Large Language Models
• AI-Generated Text Detection in Low-Resource Languages: A Case Study on Urdu
• Atom-anchored LLMs speak Chemistry: A Retrosynthesis Demonstration
• Symmetry and Generalisation in Neural Approximations of Renormalisation Transformations
• SHIELD: Suppressing Hallucinations In LVLM Encoders via Bias and Vulnerability Defense
• Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules
• Prior Makes It Possible: From Sublinear Graph Algorithms to LLM Test-Time Methods
• A Deep Learning Framework for Real-Time Image Processing in Medical Diagnostics: Enhancing Accuracy and Speed in Clinical Applications
• Prompt Optimization via Retrieved Reasoning Assets and Multi-Agent Analysis
• Structured Interfaces for Automated Reasoning with 3D Scene Graphs
• Unleashing Diverse Thinking Modes in LLMs through Multi-Agent Collaboration
• Safire: Similarity Framework for Visualization Retrieval
• All You Need is One: Capsule Prompt Tuning with a Single Vector
• Renaissance of RNNs in Streaming Clinical Time Series: Compact Recurrence Remains Competitive with Transformers
• VisuoAlign: Safety Alignment of LVLMs with Multimodal Tree Search
• Executable Epistemology: The Structured Cognitive Loop as an Architecture of Intentional Understanding
• Exploring the Potential of Citiverses for Regulatory Learning
• PISA: A Pragmatic Psych-Inspired Unified Memory System for Enhanced AI Agency
• Limits of Emergent Reasoning of Large Language Models in Agentic Frameworks for Deterministic Games
• Cognitive Load Traces as Symbolic and Visual Accounts of Deep Model Cognition
• ProofFlow: A Dependency Graph Approach to Faithful Proof Autoformalization
• Ontologies in Motion: A BFO-Based Approach to Knowledge Graph Construction for Motor Performance Research Data in Sports Science
• A Non-overlap-based Conflict Measure for Random Permutation Sets
• PAINT: Parallel-in-time Neural Twins for Dynamical System Reconstruction
• Global-focal Adaptation with Information Separation for Noise-robust Transfer Fault Diagnosis
• Algorithms for dynamic scheduling in manufacturing, towards digital factories Improving Deadline Feasibility and Responsiveness via Temporal Networks
• Reliability of Large Language Model Generated Clinical Reasoning in Assisted Reproductive Technology: Blinded Comparative Evaluation Study
• Operationalising Extended Cognition: Formal Metrics for Corporate Knowledge and Legal Accountability
• Towards Automatic Evaluation and Selection of PHI De-identification Models via Multi-Agent Collaboration
• The Right to Be Remembered: Preserving Maximally Truthful Digital Memory in the Age of AI
• ScholarEval: Research Idea Evaluation Grounded in Literature
• Distractor Injection Attacks on Large Reasoning Models: Characterization and Defense
• What Limits Agentic Systems Efficiency?
• DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA
• MedRule-KG: A Knowledge-Graph--Steered Scaffold for Mathematical Reasoning with a Lightweight Verifier
• Beyond Fixed Anchors: Precisely Erasing Concepts with Sibling Exclusive Counterparts
• The Burden of Interactive Alignment with Inconsistent Preferences
• Before you , monitor: Implementing Flavell's metacognitive framework in LLMs
• Humanoid-inspired Causal Representation Learning for Domain Generalization
• RGMem: Renormalization Group-based Memory Evolution for Language Agent User Profile
• ReviewSense: Transforming Customer Review Dynamics into Actionable Business Insights
• NP-Engine: Empowering Optimization Reasoning in Large Language Models with Verifiable Synthetic NP Problems
• Hey Pentti, We Did It Again!: Differentiable vector-symbolic types that prove polynomial termination
• Urban-R1: Reinforced MLLMs Mitigate Geospatial Biases for Urban General Intelligence
• BuildArena: A Physics-Aligned Interactive Benchmark of LLMs for Engineering Construction
• Ripple Effect Protocol: Coordinating Agent Populations
• Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
• Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning
• Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards
• Foundation and Large-Scale AI Models in Neuroscience: A Comprehensive Review
• An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems
• Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI
• A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications
• Surrogate Modeling and Explainable Artificial Intelligence for Complex Systems: A Workflow for Automated Simulation Exploration
• ELMM: Efficient Lightweight Multimodal Large Language Models for Multimodal Knowledge Graph Completion
• End-to-end Listen, Look, Speak and Act
• See or Say Graphs: Agent-Driven Scalable Graph Understanding with Vision-Language Models
• Domain-Contextualized Concept Graphs: A Computable Framework for Knowledge Representation
• DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
• VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents
• A Comparative User Evaluation of XRL Explanations using Goal Identification
• STARK: Strategic Team of Agents for Refining Kernels
• ToolCritic: Detecting and Correcting Tool-Use Errors in Dialogue Systems
• A Brain Cell Type Resource Created by Large Language Models and a Multi-Agent AI System for Collaborative Community Annotation
• Structured Debate Improves Corporate Credit Reasoning in Financial AI
• Enhanced Fish Freshness Classification with Incremental Handcrafted Feature Fusion
• Physics-Informed Large Language Models for HVAC Anomaly Detection with Autonomous Rule Generation
• Which LLM Multi-Agent Protocol to Choose?
• Combining ECG Foundation Model and XGBoost to Predict In-Hospital Malignant Ventricular Arrhythmias in AMI Patients
• Offline Policy Evaluation of Multi-Turn LLM Health Coaching with Real Users
• Temporally Detailed Hypergraph Neural ODEs for Type 2 Diabetes Progression Modeling
• Coinvisor: An RL-Enhanced Chatbot Agent for Interactive Cryptocurrency Investment Analysis
• RubiSCoT: A Framework for AI-Supported Academic Assessment
• Graph Attention-Guided Search for Dense Multi-Agent Pathfinding
• Diverse Planning with Simulators via Linear Temporal Logic
• Active Inference for an Intelligent Agent in Autonomous Reconnaissance Missions
• Label Indeterminacy in AI & Law
• MIRAGE: Agentic Framework for Multimodal Misinformation Detection with Web-Grounded Reasoning
• Reasoning Distillation and Structural Alignment for Improved Code Generation
• OG-Rank: Learning to Rank Fast and Slow with Uncertainty and Reward-Trend Guided Adaptive Exploration
• LLM-as-a-Prophet: Understanding Predictive Intelligence with Prophet Arena
• A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
• Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models
• Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs
• A Semantic Generalization of Shannon's Information Theory and Applications
• Multimodal Chip Physical Design Engineer Assistant
• FlexLink: Boosting your NVLink Bandwidth by 27% without accuracy concern
• FinFlowRL: An Imitation-Reinforcement Learning Framework for Adaptive Stochastic Control in Finance
• Mitigating Harmful Erraticism in LLMs Through Dialectical Behavior Therapy Based De-Escalation Strategies
• A Real-Time BCI for Stroke Hand Rehabilitation Using Latent EEG Features from Healthy Subjects
• Detecting and Preventing Harmful Behaviors in AI Companions: Development and Evaluation of the SHIELD Supervisory System
• Accelerating Frontier MoE Training with 3D Integrated Optics
• BREATH: A Bio-Radar Embodied Agent for Tonal and Human-Aware Diffusion Music Generation
• From Coordination to Personalization: A Trust-Aware Simulation Framework for Emergency Department Decision Support
• "She's Like a Person but Better": Characterizing Companion-Assistant Dynamics in Human-AI Relationships
• FVDebug: An LLM-Driven Debugging Assistant for Automated Root Cause Analysis of Formal Verification Failures
• Sleeping Kelly is a Thirder
• VeriGRAG: Enhancing LLM-Based Verilog Code Generation with Structure-Aware Soft Prompts
• Intent-Driven Storage Systems: From Low-Level Tuning to High-Level Understanding
• Comparing LLMs for Sentiment Analysis in Financial Market News
• Impl\'ementation Efficiente de Fonctions de Convolution sur FPGA \`a l'Aide de Blocs Param\'etrables et d'Approximations Polynomiales
• Lean Finder: Semantic Search for Mathlib That Understands User Intents
• Lyapunov-Stable Adaptive Control for Multimodal Concept Drift
• BEACON: Bayesian Optimal Stopping for Efficient LLM Sampling
• Learning from Mistakes: Enhancing Harmful Meme Detection via Misjudgment Risk Patterns
• WaveNet's Precision in EEG Classification
• ATLAS: Adaptive Trading with LLM AgentS Through Dynamic Prompt Optimization and Multi-Agent Coordination
• Cross-dataset Multivariate Time-series Model for Parkinson's Diagnosis via Keyboard Dynamics
• How Good Are LLMs at Processing Tool Outputs?
• Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use