AI Research News Feeds for October 9th, 2025

AI RESEARCH PAPERS & ACADEMIC SOURCES

• RAISE: A self-driving laboratory for interfacial property formulation discovery
• Safe Obstacle-Free Guidance of Space Manipulators in Debris Removal Missions via Deep Reinforcement Learning
• Assist-As-Needed: Adaptive Multimodal Robotic Assistance for Medication Management in Dementia Care
• RLinf-VLA: A Unified and Efficient Framework for VLA+RL Training
• SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis
• Distributed 3D Source Seeking via SO(3) Geometric Control of Robot Swarms
• Tailoring materials into kirigami robots
• Temporal-Prior-Guided View Planning for Periodic 3D Plant Reconstruction
• Diffusing Trajectory Optimization Problems for Recovery During Multi-Finger Manipulation
• Bring the Apple, Not the Sofa: Impact of Irrelevant Context in Embodied AI Commands on VLA Models
• Sampling Strategies for Robust Universal Quadrupedal Locomotion Policies
• DPL: Depth-only Perceptive Humanoid Locomotion via Realistic Depth Synthesis and Cross-Attention Terrain Reconstruction
• A Narwhal-Inspired Sensing-to-Control Framework for Small Fixed-Wing Aircraft
• COMPAct: Computational Optimization and Automated Modular design of Planetary Actuators
• Three-dimensional Integrated Guidance and Control for Leader-Follower Flexible Formation of Fixed Wing UAVs
• Terrain-Aided Navigation Using a Point Cloud Measurement Sensor
• Artists' Views on Robotics Involvement in Painting Productions
• M^3RS: Multi-robot, Multi-objective, and Multi-mode Routing and Scheduling
• EffiTune: Diagnosing and Mitigating Training Inefficiency for Parameter Tuner in Robot Navigation System
• P2 Explore: Efficient Exploration in Unknown Cluttered Environment with Floor Plan Prediction
• Generating and Optimizing Topologically Distinct Guesses for Mobile Manipulator Path Planning with Path Constraints
• Diffusion Trajectory-guided Policy for Long-horizon Robot Manipulation
• Development of a magnetorheological hand exoskeleton featuring a high force-to-power ratio for enhanced grip endurance
• Control of Humanoid Robots with Parallel Mechanisms using Differential Actuation Models
• Interleave-VLA: Enhancing Robot Manipulation with Interleaved Image-Text Instructions
• Touch Speaks, Sound Feels: A Multimodal Approach to Affective and Social Touch from Robots to Humans
• UltraHiT: A Hierarchical Transformer Architecture for Generalizable Internal Carotid Artery Robotic Ultrasonography
• BIM Informed Visual SLAM for Construction Monitoring
• Inducing State Anxiety in LLM Agents Reproduces Human-Like Biases in Consumer Decision-Making
• "Grillz on a hijabi": Intersectional Identities in Fostering Critical AI Literacy
• Code Semantic Zooming
• Back to the Future Museum -- Speculative Design for Virtual Citizen-Curated Museums
• AI Eyes on the Road: Cross-Cultural Perspectives on Traffic Surveillance
• A Meat-Summer Night's Dream: A Tangible Design Fiction Exploration of Eating Biohybrid Flying Robots
• Examining Solidarity Against AI-Enabled Surveillance at the Intersection of Workplace and Carceral Realities
• PriorWeaver: Prior Elicitation via Iterative Dataset Construction
• RAVEN: Realtime Accessibility in Virtual ENvironments for Blind and Low-Vision People
• Investigating Students' Preferences for AI Roles in Mathematical Modelling: Evidence from a Randomized Controlled Trial
• "It feels like hard work trying to talk to it": Understanding Older Adults' Experiences of Encountering and Repairing Conversational Breakdowns with AI Systems
• "Sometimes You Need Facts, and Sometimes a Hug": Understanding Older Adults' Preferences for Explanations in LLM-Based Conversational AI Systems
• Lonely Individuals Show Distinct Patterns of Social Media Engagement
• Am I Productive? Exploring the Experience of Remote Workers with Task Management Tools
• Prototyping Multimodal GenAI Real-Time Agents with Counterfactual Replays and Hybrid Wizard-of-Oz
• The Feature Understandability Scale for Human-Centred Explainable AI: Assessing Tabular Feature Importance
• AI for Abolition? A Participatory Design Approach
• Exploring the Feasibility of Gaze-Based Navigation Across Path Types
• Regulating Social Media: Surveying the Impact of Nepali Government's TikTok Ban
• A Review of 10 Years of ProtoSpace: Spacecraft CAD Visualization in Collaborative Augmented Reality
• The Stage Comes to You: A Real-Time Tele-Immersive System with 3D Point Clouds and Vibrotactile Feedback
• From Neural Sensing to Stimulation: An Interdisciplinary Roadmap for Neurotechnology
• A risk model and analysis method for the psychological safety of human and autonomous vehicles interaction
• Desirable Unfamiliarity: Insights from Eye Movements on Engagement and Readability of Dictation Interfaces
• Geometric Queries on Closed Implicit Surfaces for Walk on Stars
• SAR-GS: Gaussian Splatting based SAR Images Rendering and Target Reconstruction
• LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS
• LLM-Powered Nuanced Video Attribute Annotation for Enhanced Recommendations
• Can We Hide Machines in the Crowd? Quantifying Equivalence in LLM-in-the-loop Annotation Tasks
• Reproducing and Extending Causal Insights Into Term Frequency Computation in Neural Rankers
• Ethical AI prompt recommendations in large language models using collaborative filtering
• Reasoning-enhanced Query Understanding through Decomposition and Interpretation
• Automated Repeatable Adversary Threat Emulation with Effects Language (EL)
• Breaking Precision Time: OS Vulnerability Exploits Against IEEE 1588
• Proofs of No Intrusion
• BATTLE for Bitcoin: Capital-Efficient Optimistic Bridges with Large Committees
• SpyChain: Multi-Vector Supply Chain Attacks on Small Satellite Systems
• Auto-Stega: An Agent-Driven System for Lifelong Strategy Evolution in LLM-Based Text Steganography
• Code Agent can be an End-to-end System Hacker: Benchmarking Real-world Threats of Computer-use Agent
• I Can't Patch My OT Systems! A Look at CISA's KEVC Workarounds & Mitigations for OT
• A multi-layered embedded intrusion detection framework for programmable logic controllers
• Exposing LLM User Privacy via Traffic Fingerprint Analysis: A Study of Privacy Risks in LLM Agent Interactions
• Security-Robustness Trade-offs in Diffusion Steganography: A Comparative Analysis of Pixel-Space and VAE-Based Architectures
• Benchmarking Fake Voice Detection in the Fake Voice Generation Arms Race
• Representation Gap of the Motzkin Monoid
• The Knowledge Complexity of Quantum Problems
• Friend or Foe Inside? Exploring In-Process Isolation to Maintain Memory Safety for Unsafe Rust
• Streamlining Plug-and-Charge Authorization for Electric Vehicles with OAuth2 and OIDC
• WAFFLED: Exploiting Parsing Discrepancies to Bypass Web Application Firewalls
• On Univariate Sumcheck
• RevealNet: Distributed Traffic Correlation for Attack Attribution on Programmable Networks
• Security through the Eyes of AI: How Visualization is Shaping Malware Detection
• Securing WiFi Fingerprint-based Indoor Localization Systems from Malicious Access Points
• Obfuscated Quantum and Post-Quantum Cryptography
• jmstate, a Flexible Python Package for Multi-State Joint Modeling
• Efficient reductions from a Gaussian source with applications to statistical-computational tradeoffs
• Vi-TacMan: Articulated Object Manipulation via Vision and Touch
• A Formal gatekeeper Framework for Safe Dual Control with Active Exploration
• What You Don't Know Can Hurt You: How Well do Latent Safety Filters Understand Partially Observable Safety Constraints?
• StyleKeeper: Prevent Content Leakage using Negative Visual Query Guidance
• Lattice-allocated Real-time Line Segment Feature Detection and Tracking Using Only an Event-based Camera
• Continual Action Quality Assessment via Adaptive Manifold-Aligned Graph Regularization
• Online Generic Event Boundary Detection
• HARP-NeXt: High-Speed and Accurate Range-Point Fusion Network for 3D LiDAR Semantic Segmentation
• Lung Infection Severity Prediction Using Transformers with Conditional TransMix Augmentation and Cross-Attention
• Label-frugal satellite image change detection with generative virtual exemplar learning
• IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction
• OBJVanish: Physically Realizable Text-to-3D Adv. Generation of LiDAR-Invisible Objects
• Addressing the ID-Matching Challenge in Long Video Captioning
• No MoCap Needed: Post-Training Motion Diffusion Models with Reinforcement Learning using Only Textual Prompts
• Bayesian Modelling of Multi-Year Crop Type Classification Using Deep Neural Networks and Hidden Markov Models
• U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking
• Concept Retrieval -- What and How?
• DADO: A Depth-Attention framework for Object Discovery
• Enhancing Concept Localization in CLIP-based Concept Bottleneck Models
• MoRe: Monocular Geometry Refinement via Graph Optimization for Cross-View Consistency
• Validation of Various Normalization Methods for Brain Tumor Segmentation: Can Federated Learning Overcome This Heterogeneity?
• Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models
• Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods
• MV-Performer: Taming Video Diffusion Model for Faithful and Synchronized Multi-view Performer Synthesis
• EigenScore: OOD Detection using Covariance in Diffusion Models
• TalkCuts: A Large-Scale Dataset for Multi-Shot Human Speech Video Generation
• Evaluating Fundus-Specific Foundation Models for Diabetic Macular Edema Detection
• SpecGuard: Spectral Projection-based Advanced Invisible Watermarking
• MATRIX: Mask Track Alignment for Interaction-aware Video Generation
• WristWorld: Generating Wrist-Views via 4D World Models for Robotic Manipulation
• Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers
• Quantum-enhanced Computer Vision: Going Beyond Classical Algorithms
• Temporal Prompting Matters: Rethinking Referring Video Object Segmentation
• Active Next-Best-View Optimization for Risk-Averse Path Planning
• Real-Time Glass Detection and Reprojection using Sensor Fusion Onboard Aerial Robots
• UniFField: A Generalizable Unified Neural Feature Field for Visual, Semantic, and Spatial Uncertainties in Any Scene
• Bionetta: Efficient Client-Side Zero-Knowledge Machine Learning Proving
• Capture and Interact: Rapid 3D Object Acquisition and Rendering with Gaussian Splatting in Unity
• LoDisc: Learning Global-Local Discriminative Features for Self-Supervised Fine-Grained Visual Recognition
• Decomposed Global Optimization for Robust Point Matching with Low-Dimensional Branching
• Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
• CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion
• Taming Diffusion Models for Image Restoration: A Review
• Erasing More Than Intended? How Concept Erasure Degrades the Generation of Non-Target Concepts
• Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset Expansion
• SubGrapher: Visual Fingerprinting of Chemical Structures
• MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness
• Fully Spiking Neural Networks for Unified Frame-Event Object Tracking
• Uncertainty-Aware Remaining Lifespan Prediction from Images
• WAFT: Warping-Alone Field Transforms for Optical Flow
• BIM-Constrained Optimization for Accurate Localization and Deviation Correction in Construction Monitoring
• OpenStaxQA: A multilingual dataset based on open-source college textbooks
• A Comprehensive Survey of Hallucination in Large Language Models: Causes, Detection, and Mitigation
• Type and Complexity Signals in Multilingual Question Representations
• LLM Bias Detection and Mitigation through the Lens of Desired Distributions
• EVALUESTEER: Measuring Reward Model Steerability Towards Values and Preference
• Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language
• Controllable Stylistic Text Generation with Train-Time Attribute-Regularized Diffusion
• Instructional Goal-Aligned Question Generation for Student Evaluation in Virtual Lab Settings: How Closely Do LLMs Actually Align?
• FinLFQA: Evaluating Attributed Text Generation of LLMs in Financial Long-Form Question Answering
• Bridging Discourse Treebanks with a Unified Rhetorical Structure Parser
• MathRobust-LV: Evaluation of Large Language Models' Robustness to Linguistic Variations in Mathematical Reasoning
• Linguistically Informed Tokenization Improves ASR for Underresourced Languages
• Test-Time Scaling of Reasoning Models for Machine Translation
• Flipping the Dialogue: Training and Evaluating User Language Models
• TinyScientist: An Interactive, Extensible, and Controllable Framework for Building Research Agents
• Do Internal Layers of LLMs Reveal Patterns for Jailbreak Detection?
• Aligning Large Language Models via Fully Self-Synthetic Data
• ToolMem: Enhancing Multimodal Agents with Learnable Tool Capability Memory
• PIKA: Expert-Level Synthetic Datasets for Post-Training Alignment from Scratch
• How Language Models Conflate Logical Validity with Plausibility: A Representational Analysis of Content Effects
• PTEB: Towards Robust Text Embedding Evaluation via Stochastic Paraphrasing at Evaluation Time with LLMs
• AWM: Accurate Weight-Matrix Fingerprint for Large Language Models
• TWIST: Training-free and Label-free Short Text Clustering through Iterative Vector Updating with LLMs
• A Formal Framework for Fluency-based Multi-Reference Evaluation in Grammatical Error Correction
• Gold-Switch: Training-Free Superposition of Slow- and Fast- Thinking LLMs
• Adaptive LLM-Symbolic Reasoning via Dynamic Logical Solver Composition
• Overview of the Plagiarism Detection Task at PAN 2025
• Adaptive Tool Generation with Models as Tools and Reinforcement Learning
• Mid-Training of Large Language Models: A Survey
• GAMBIT+: A Challenge Set for Evaluating Gender Bias in Machine Translation Quality Estimation Metrics
• Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding
• $\lambda$-GRPO: Unifying the GRPO Frameworks with Learnable Token Preferences
• MeXtract: Light-Weight Metadata Extraction from Scientific Papers
• SHANKS: Simultaneous Hearing and Thinking for Spoken Language Models
• Probing Social Identity Bias in Chinese LLMs with Gendered Pronouns and Social Groups
• Towards Reliable Retrieval in RAG Systems for Large Legal Datasets
• Beyond Monolingual Assumptions: A Survey of Code-Switched NLP in the Era of Large Language Models
• Does Local News Stay Local?: Online Content Shifts in Sinclair-Acquired Stations
• Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in Indian Languages
• Accelerating Diffusion LLM Inference via Local Determinism Propagation
• All Claims Are Equal, but Some Claims Are More Equal Than Others: Importance-Sensitive Factuality Evaluation of LLM Generations
• Making Machines Sound Sarcastic: LLM-Enhanced and Retrieval-Guided Sarcastic Speech Synthesis
• TALENT: Table VQA via Augmented Language-Enhanced Natural-text Transcription
• Reasoning for Hierarchical Text Classification: The Case of Patents
• More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning
• CARPAS: Towards Content-Aware Refinement of Provided Aspects for Summarization in Large Language Models
• Biasless Language Models Learn Unnaturally: How LLMs Fail to Distinguish the Possible from the Impossible
• Sunflower: A New Approach To Expanding Coverage of African Languages in Large Language Models
• How much speech data is necessary for ASR in African languages? An evaluation of data scaling in Kinyarwanda and Kikuyu
• Customer-R1: Personalized Simulation of Human Behaviors via RL-based LLM Agent in Online Shopping
• LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document Understanding
• When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation
• Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts
• Don't Adapt Small Language Models for Tools; Adapt Tool Schemas to the Models
• Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning
• Agent Bain vs. Agent McKinsey: A New Text-to-SQL Benchmark for the Business Domain
• CML-Bench: A Framework for Evaluating and Enhancing LLM-Powered Movie Scripts Generation
• XLSR-Kanformer: A KAN-Intergrated model for Synthetic Speech Detection
• GPT-5 Model Corrected GPT-4V's Chart Reading Errors, Not Prompting
• Exposing Citation Vulnerabilities in Generative Engines
• Crossing Domains without Labels: Distant Supervision for Term Extraction
• RedTWIZ: Diverse LLM Red Teaming via Adaptive Attack Planning
• Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit
• LatteReview: A Multi-Agent Framework for Systematic Review Automation Using Large Language Models
• Benchmarking Gaslighting Negation Attacks Against Multimodal Large Language Models
• Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning
• Diagnosing Moral Reasoning Acquisition in Language Models: Pragmatics and Generalization
• Speculative Decoding and Beyond: An In-Depth Survey of Techniques
• MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
• Rethinking Multilingual Continual Pretraining: Data Mixing for Adapting LLMs Across Languages and Resources
• GlotEval: A Test Suite for Massively Multilingual Evaluation of Large Language Models
• Geometry of Semantics in Next-Token Prediction: How Optimization Implicitly Organizes Linguistic Representations
• AutoRev: Multi-Modal Graph Retrieval for Automated Peer-Review Generation
• HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop Questions
• FlowKV: Enhancing Multi-Turn Conversational Coherence in LLMs via Isolated Key-Value Cache Management
• Do RAG Systems Really Suffer From Positional Bias?
• MIST: Towards Multi-dimensional Implicit BiaS Evaluation of LLMs via Theory of Mind
• PredGen: Accelerated Inference of Large Language Models through Input-Time Speculation for Real-Time Speech Interaction
• Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models
• LLMVA-GEBC: Large Language Model with Video Adapter for Generic Event Boundary Captioning
• LaunchpadGPT: Language Model as Music Visualization Designer on Launchpad
• Emilia: A Large-Scale, Extensive, Multilingual, and Diverse Dataset for Speech Generation
• Enhancing Few-shot Keyword Spotting Performance through Pre-Trained Self-supervised Speech Models
• User to Video: A Model for Spammer Detection Inspired by Video Classification Technology
• multimodars: A Rust-powered toolkit for multi-modality cardiac image fusion and registration
• Does Physics Knowledge Emerge in Frontier Models?
• Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training
• Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding
• TDiff: Thermal Plug-And-Play Prior with Patch-Based Diffusion
• SIGMA-GEN: Structure and Identity Guided Multi-subject Assembly for Image Generation
• Superpixel Integrated Grids for Fast Image Segmentation
• Text2Interact: High-Fidelity and Diverse Text-to-Two-Person Interaction Generation
• From Captions to Keyframes: Efficient Video Summarization via Caption- and Context-Aware Frame Scoring
• Limited-Angle Tomography Reconstruction via Projector Guided 3D Diffusion
• VUGEN: Visual Understanding priors for GENeration
• Through the Perspective of LiDAR: A Feature-Enriched and Uncertainty-Aware Annotation Pipeline for Terrestrial Point Cloud Segmentation
• Improving Artifact Robustness for CT Deep Learning Models Without Labeled Artifact Images via Domain Adaptation
• Ming-UniVision: Joint Image Understanding and Generation with a Unified Continuous Tokenizer
• Adaptive Stain Normalization for Cross-Domain Medical Histology
• AIM 2025 Challenge on Real-World RAW Image Denoising
• Self-supervised Physics-guided Model with Implicit Representation Regularization for Fast MRI Reconstruction
• A Bridge from Audio to Video: Phoneme-Viseme Alignment Allows Every Face to Speak Multiple Languages
• MSITrack: A Challenging Benchmark for Multispectral Single Object Tracking
• DreamOmni2: Multimodal Instruction-based Editing and Generation
• SCas4D: Structural Cascaded Optimization for Boosting Persistent 4D Novel View Synthesis
• DeRainMamba: A Frequency-Aware State Space Model with Detail Enhancement for Image Deraining
• OBS-Diff: Accurate Pruning For Diffusion Models in One-Shot
• Transforming Noise Distributions with Histogram Matching: Towards a Single Denoiser for All
• A deep multiple instance learning approach based on coarse labels for high-resolution land-cover mapping
• TTRV: Test-Time Reinforcement Learning for Vision Language Models
• VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance
• Covert Quantum Learning: Privately and Verifiably Learning from Quantum Data
• Accelerating Inference for Multilayer Neural Networks with Quantum Computers
• Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
• On the Convergence of Moral Self-Correction in Large Language Models
• Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
• Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation
• Domain Generalization by Rejecting Extreme Augmentations
• Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems
• Want to train KANS at scale? Now UKAN!
• Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach
• Reinforcement Learning for Dynamic Memory Allocation
• Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination
• VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction
• Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning
• DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection
• Towards the Worst-case Robustness of Large Language Models
• Denoising Score Matching with Random Features: Insights on Diffusion Models from Precise Learning Curves
• A Differentiable Alignment Framework for Sequence-to-Sequence Modeling via Optimal Transport
• A Novel Collaborative Framework for Efficient Synchronization in Split Federated Learning over Wireless Networks
• Nonparametric Bellman Mappings for Value Iteration in Distributed Reinforcement Learning
• Unveiling the Basin-Like Loss Landscape in Large Language Models
• HoPE: Hybrid of Position Embedding for Long Context Vision-Language Models
• Dual Natural Gradient Descent for Scalable Training of Physics-Informed Neural Networks
• Learning where to learn: Training data distribution optimization for scientific machine learning
• Inference-Time Scaling of Discrete Diffusion Models via Importance Weighting and Optimal Proposal Design
• AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
• AbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing
• Adversarial Surrogate Risk Bounds for Binary Classification
• Auto-Compressing Networks
• On the necessity of adaptive regularisation:Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls
• P3D: Scalable Neural Surrogates for High-Resolution 3D Physics Simulations with Global Context
• Spatiotemporal Tile-based Attention-guided LSTMs for Traffic Video Prediction
• An Empirical Analysis of the Laplace and Neural Tangent Kernels
• Train-Free Segmentation in MRI with Cubical Persistent Homology
• Testing Support Size More Efficiently Than Learning Histograms
• 2 OLMo 2 Furious
• Automating RT Planning at Scale: High Quality Data For AI Training
• GreedyPixel: Fine-Grained Black-Box Adversarial Attack Via Greedy Algorithm
• Bit-Level Discrete Diffusion with Markov Probabilistic Models: An Improved Framework with Sharp Convergence Bounds under Minimal Assumptions
• Last-iterate Convergence for Symmetric, General-sum, $2 \times 2$ Games Under The Exponential Weights Dynamic
• Jailbreak Attack Initializations as Extractors of Compliance Directions
• DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion
• Is Supervised Learning Really That Different from Unsupervised?
• TokenWeave: Efficient Compute-Communication Overlap for Distributed LLM Inference
• Guiding Giants: Lightweight Controllers for Weighted Activation Steering in LLMs
• Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models
• MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
• 360-LLaMA-Factory: Plug & Play Sequence Parallelism for Long Post-Training
• Estimating the Joint Probability of Scenario Parameters with Gaussian Mixture Copula Models
• Probing forced responses and causal mechanisms in large-scale climate dynamics with reduced-order neural models
• Making and Evaluating Calibrated Forecasts
• The Effect of Label Noise on the Information Content of Neural Representations
• Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting
• Nearly Instance-Optimal Parameter Recovery from Many Trajectories via Hellinger Localization
• Bayesian Optimization under Uncertainty for Training a Scale Parameter in Stochastic Models
• GUIDE: Guided Initialization and Distillation of Embeddings
• Text-to-Image Models Leave Identifiable Signatures: Implications for Leaderboard Security
• Wide Neural Networks as a Baseline for the Computational No-Coincidence Conjecture
• DPA-Net: A Dual-Path Attention Neural Network for Inferring Glycemic Control Metrics from Self-Monitored Blood Glucose Data
• POME: Post Optimization Model Edit via Muon-style Projection
• Chem-NMF: Multi-layer $\alpha$-divergence Non-Negative Matrix Factorization for Cardiorespiratory Disease Clustering, with Improved Convergence Inspired by Chemical Catalysts and Rigorous Asymptotic Analysis
• Three Forms of Stochastic Injection for Improved Distribution-to-Distribution Generative Modeling
• StruSR: Structure-Aware Symbolic Regression with Physics-Informed Taylor Guidance
• Rethinking Nonlinearity: Trainable Gaussian Mixture Modules for Modern Neural Architectures
• The Effect of Attention Head Count on Transformer Approximation
• XRPO: Pushing the limits of GRPO with Targeted Exploration and Exploitation
• TimeFormer: Transformer with Attention Modulation Empowered by Temporal Characteristics for Time Series Forecasting
• Distributed Algorithms for Multi-Agent Multi-Armed Bandits with Collision
• AutoBalance: An Automatic Balancing Framework for Training Physics-Informed Neural Networks
• Is the Hard-Label Cryptanalytic Model Extraction Really Polynomial?
• A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking
• Incorporating Expert Knowledge into Bayesian Causal Discovery of Mixtures of Directed Acyclic Graphs
• Function regression using the forward forward training and inferring paradigm
• Get RICH or Die Scaling: Profitably Trading Inference Compute for Robustness
• The Unreasonable Effectiveness of Randomized Representations in Online Continual Graph Learning
• Efficient numeracy in language models through single-token number embeddings
• Early wind turbine alarm prediction based on machine learning: AlarmForecasting
• Vectorized FlashAttention with Low-cost Exponential Computation in RISC-V Vector Processors
• SaFeR-VLM: Toward Safety-aware Fine-grained Reasoning in Multimodal Models
• Vacuum Spiker: A Spiking Neural Network-Based Model for Efficient Anomaly Detection in Time Series
• Utilizing Large Language Models for Machine Learning Explainability
• Revisiting Node Affinity Prediction in Temporal Graphs
• Fisher Information, Training and Bias in Fourier Regression Models
• From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics
• High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization
• Revisiting Mixout: An Overlooked Path to Robust Finetuning
• Spiral Model Technique For Data Science & Machine Learning Lifecycle
• Sharpness-Aware Data Generation for Zero-shot Quantization
• COMPASS: A Multi-Turn Benchmark for Tool-Mediated Planning & Preference Optimization
• Enhancing Speech Emotion Recognition via Fine-Tuning Pre-Trained Models and Hyper-Parameter Optimisation
• Blind Construction of Angular Power Maps in Massive MIMO Networks
• Non-Stationary Online Structured Prediction with Surrogate Losses
• Non-Asymptotic Analysis of Efficiency in Conformalized Regression
• DPMM-CFL: Clustered Federated Learning via Dirichlet Process Mixture Model Nonparametric Clustering
• Bridged Clustering for Representation Learning: Semi-Supervised Sparse Bridging
• Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples
• An in-depth look at approximation via deep and narrow neural networks
• Guided by the Experts: Provable Feature Learning Dynamic of Soft-Routed Mixture-of-Experts
• A Broader View of Thompson Sampling
• Discriminative Feature Feedback with General Teacher Classes
• Test-Time Graph Search for Goal-Conditioned Reinforcement Learning
• Dynamic Regret Bounds for Online Omniprediction with Long Term Constraints
• MolGA: Molecular Graph Adaptation with Pre-trained 2D Graph Encoder
• Enhancing Resilience for IoE: A Perspective of Networking-Level Safeguard
• Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus
• Milestone Determination for Autonomous Railway Operation
• Neu-RadBERT for Enhanced Diagnosis of Brain Injuries and Conditions
• Toward Uncertainty-Aware and Generalizable Neural Decoding for Quantum LDPC Codes
• Developing a Sequential Deep Learning Pipeline to Model Alaskan Permafrost Thaw Under Climate Change
• Beyond Static Knowledge Messengers: Towards Adaptive, Fair, and Scalable Federated Learning for Medical AI
• A Mixed-Methods Analysis of Repression and Mobilization in Bangladesh's July Revolution Using Machine Learning and Statistical Modeling
• Vision Transformer for Transient Noise Classification
• General and Efficient Visual Goal-Conditioned Reinforcement Learning using Object-Agnostic Masks
• Mass Conservation on Rails -- Rethinking Physics-Informed Learning of Ice Flow Vector Fields
• Scalable deep fusion of spaceborne lidar and synthetic aperture radar for global forest structural complexity mapping
• Conditional Denoising Diffusion Model-Based Robust MR Image Reconstruction from Highly Undersampled Data
• Diffusion-Guided Renormalization of Neural Systems via Tensor Networks
• A General Constructive Upper Bound on Shallow Neural Nets Complexity
• Road Surface Condition Detection with Machine Learning using New York State Department of Transportation Camera Images and Weather Forecast Data
• Online Matching via Reinforcement Learning: An Expert Policy Orchestration Strategy
• BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music
• From Description to Detection: LLM based Extendable O-RAN Compliant Blind DoS Detection in 5G and Beyond
• Cluster Paths: Navigating Interpretability in Neural Networks
• From Acceleration to Saturation: Scaling Behavior of Bootstrapped Language Model Pretraining
• Adapting Quantum Machine Learning for Energy Dissociation of Bonds
• FEAorta: A Fully Automated Framework for Finite Element Analysis of the Aorta From 3D CT Images
• Unsupervised Backdoor Detection and Mitigation for Spiking Neural Networks
• A Comparative Analysis of Contextual Representation Flow in State-Space and Transformer Architectures
• Q-Learning with Fine-Grained Gap-Dependent Regret
• Fitzpatrick Thresholding for Skin Image Segmentation
• Gaussian Equivalence for Self-Attention: Asymptotic Spectral Analysis of Attention Matrix
• Latent Representation Learning in Heavy-Ion Collisions with MaskPoint Transformer
• Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)
• Quantum Computing Methods for Malware Detection
• BlackboxNLP-2025 MIB Shared Task: Exploring Ensemble Strategies for Circuit Localization Methods
• Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking
• Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more
• Quantum Sparse Recovery and Quantum Orthogonal Matching Pursuit
• Textual interpretation of transient image classifications from large language models
• PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing
• Accelerating Sparse Ternary GEMM for Quantized LLM inference on Apple Silicon
• Falsification-Driven Reinforcement Learning for Maritime Motion Planning
• Relational Database Distillation: From Structured Tables to Condensed Graph Data
• Root Cause Analysis of Outliers in Unknown Cyclic Graphs
• Pseudo-MDPs: A Novel Framework for Efficiently Optimizing Last Revealer Seed Manipulations in Blockchains
• Explaining Models under Multivariate Bernoulli Distribution via Hoeffding Decomposition
• Diffusion-Augmented Reinforcement Learning for Robust Portfolio Optimization under Stress Scenarios
• Active Control of Turbulent Airfoil Flows Using Adjoint-based Deep Learning
• GNN-enhanced Traffic Anomaly Detection for Next-Generation SDN-Enabled Consumer Electronics
• TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
• Spectral Graph Clustering under Differential Privacy: Balancing Privacy, Accuracy, and Efficiency
• NurseLLM: The First Specialized Language Model for Nursing
• Quantifying Data Contamination in Psychometric Evaluations of LLMs
• Bayesian Portfolio Optimization by Predictive Synthesis
• Split Conformal Classification with Unsupervised Calibration
• A Multi-Agent Framework for Stateful Inference-Time Search
• ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL
• TIGeR: Tool-Integrated Geometric Reasoning in Vision-Language Models for Robotics
• Resolution scaling governs DINOv3 transfer performance in chest radiograph classification
• HyPlan: Hybrid Learning-Assisted Planning Under Uncertainty for Safe Autonomous Driving
• Language Lives in Sparse Dimensions: Toward Interpretable and Efficient Multilingual Control for Large Language Models
• GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation
• Where to Begin: Efficient Pretraining via Subnetwork Selection and Distillation
• Benchmarking LLM Causal Reasoning with Scientifically Validated Relationships
• LeMAJ (Legal LLM-as-a-Judge): Bridging Legal Reasoning and LLM Evaluation
• On the false election between regulation and innovation. Ideas for regulation through the responsible use of artificial intelligence in research and education.[Spanish version]
• Online Rubrics Elicitation from Pairwise Comparisons
• GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection (Preprint)
• Evolutionary Profiles for Protein Fitness Prediction
• AudioMarathon: A Comprehensive Benchmark for Long-Context Audio Understanding and Efficiency in Audio LLMs
• Cocoon: A System Architecture for Differentially Private Training with Correlated Noises
• MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline
• h1: Bootstrapping LLMs to Reason over Longer Horizons via Reinforcement Learning
• GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations
• Vibe Checker: Aligning Code Evaluation with Human Preference
• Artificial Hippocampus Networks for Efficient Long-Context Modeling
• Inferring Capabilities from Task Performance with Bayesian Triangulation
• Transparent and Coherent Procedural Mistake Detection
• An Illusion of Progress? Assessing the Current State of Web Agents
• Empirically evaluating commonsense intelligence in large language models with large-scale human judgments
• Controlled Agentic Planning & Reasoning for Mechanism Synthesis
• Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism
• Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents
• KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality
• Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples
• Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence Reward
• Is My Data in Your AI? Membership Inference Test (MINT) applied to Face Biometrics
• Unlocking Dataset Distillation with Diffusion Models
• ECLM: Entity Level Language Model for Spoken Language Understanding with Chain of Intent
• Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding
• V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning
• A Deep Learning System for Rapid and Accurate Warning of Acute Aortic Syndrome on Non-contrast CT in China
• Approximately Aligned Decoding
• NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms
• Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs
• SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications
• VidComposition: Can MLLMs Analyze Compositions in Compiled Videos?
• Machine Learning and Multi-source Remote Sensing in Forest Aboveground Biomass Estimation: A Review
• Sustainable Self-evolution Adversarial Training
• Evil twins are not that evil: Qualitative insights into machine-generated prompts
• Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine
• KunServe: Parameter-centric Memory Management for Efficient Memory Overloading Handling in LLM Serving
• Tempo: Compiled Dynamic Deep Learning with Symbolic Dependence Graphs
• FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks
• A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning
• Achieving Hyperbolic-Like Expressiveness with Arbitrary Euclidean Regions: A New Approach to Hierarchical Embeddings
• LLM Unlearning via Neural Activation Redirection
• MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks
• Lossy Neural Compression for Geospatial Analytics: A Review
• Mind the (Belief) Gap: Group Identity in the World of LLMs
• Improving Neutral Point-of-View Generation with Data- and Parameter-Efficient RL
• Mitigating Cross-Modal Distraction and Ensuring Geometric Feasibility via Affordance-Guided and Self-Consistent MLLMs for Task Planning in Instruction-Following Manipulation
• NdLinear: Preserving Multi-Dimensional Structure for Parameter-Efficient Neural Networks
• Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification
• AerialVG: A Challenging Benchmark for Aerial Visual Grounding by Exploring Positional Relations
• Weight Ensembling Improves Reasoning in Language Models
• Efficient Flow Matching using Latent Variables
• Generative Pre-trained Autoregressive Diffusion Transformer
• MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices
• AC-LoRA: (Almost) Training-Free Access Control-Aware Multi-Modal LLMs
• AdaDim: Dimensionality Adaptation for SSL Representational Dynamics
• MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding
• SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis
• The Unreasonable Effectiveness of Model Merging for Cross-Lingual Transfer in LLMs
• Performance of machine-learning-assisted Monte Carlo in sampling from simple statistical physics models
• Exchangeability in Neural Network and its Application to Dynamic Pruning
• CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale
• Learning to Recover: Dynamic Reward Shaping with Wheel-Leg Coordination for Fallen Robots
• KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes
• AutoMind: Adaptive Knowledgeable Agent for Automated Data Science
• Prefilled responses enhance zero-shot detection of AI-generated images
• Context Matters! Relaxing Goals with LLMs for Feasible 3D Scene Planning
• Understanding Software Engineering Agents: A Study of Thought-Action-Result Trajectories
• Structure-Aware Compound-Protein Affinity Prediction via Graph Neural Network with Group Lasso Regularization
• Enjoying Non-linearity in Multinomial Logistic Bandits
• Token-based Audio Inpainting via Discrete Diffusion
• Quantum Machine Learning in Multi-Qubit Phase-Space Part I: Foundations
• Community-Centered Spatial Intelligence for Climate Adaptation at Nova Scotia's Eastern Shore
• Intelligent Healthcare Imaging Platform: A VLM-Based Framework for Automated Medical Image Analysis and Clinical Report Generation
• On knot detection via picture recognition
• PIKAN: Physics-Inspired Kolmogorov-Arnold Networks for Explainable UAV Channel Modelling
• Lagrangian neural ODEs: Measuring the existence of a Lagrangian with Helmholtz metrics
• RareGraph-Synth: Knowledge-Guided Diffusion Models for Generating Privacy-Preserving Synthetic Patient Trajectories in Ultra-Rare Diseases
• MCCE: A Framework for Multi-LLM Collaborative Co-Evolution
• Reproducibility Study of "XRec: Large Language Models for Explainable Recommendation"
• A Total Variation Regularized Framework for Epilepsy-Related MRI Image Segmentation
• RVFL-X: A Novel Randomized Network Based on Complex Transformed Real-Valued Tabular Datasets
• Surgeons Are Indian Males and Speech Therapists Are White Females: Auditing Biases in Vision-Language Models for Healthcare Professionals
• Improving the Spatial Resolution of GONG Solar Images to GST Quality Using Deep Learning
• SER-Diff: Synthetic Error Replay Diffusion for Incremental Brain Tumor Segmentation
• Soft-Evidence Fused Graph Neural Network for Cancer Driver Gene Identification across Multi-View Biological Graphs
• Traj-Transformer: Diffusion Models with Transformer for GPS Trajectory Generation
• ChainMPQ: Interleaved Text-Image Reasoning Chains for Mitigating Relation Hallucinations
• BlockGPT: Spatio-Temporal Modelling of Rainfall via Frame-Level Autoregression
• Efficient High-Resolution Image Editing with Hallucination-Aware Loss and Adaptive Tiling
• VeriEquivBench: An Equivalence Score for Ground-Truth-Free Evaluation of Formally Verifiable Code
• RGBD Gaze Tracking Using Transformer for Feature Fusion
• SDAR: A Synergistic Diffusion-AutoRegression Paradigm for Scalable Sequence Generation
• Leveraging Large Language Models for Cybersecurity Risk Assessment -- A Case from Forestry Cyber-Physical Systems
• Flexible Swarm Learning May Outpace Foundation Models in Essential Tasks
• Asking For It: Question-Answering for Predicting Rule Infractions in Online Content Moderation
• TransFIRA: Transfer Learning for Face Image Recognizability Assessment
• Constrained Natural Language Action Planning for Resilient Embodied Systems
• EverydayMMQA: A Multilingual and Multimodal Framework for Culturally Grounded Spoken Visual QA
• Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
• Monte Carlo Permutation Search
• Protecting De-identified Documents from Search-based Linkage Attacks
• Reward Model Perspectives: Whose Opinions Do Reward Models Reward?
• Adaptive Protein Design Protocols and Middleware
• Geometry-Aware Backdoor Attacks: Leveraging Curvature in Hyperbolic Embeddings
• Context-Aware Inference via Performance Forecasting in Decentralized Learning Networks
• A Survey on Agentic Security: Applications, Threats and Defenses
• How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation
• Evaluating Node-tree Interfaces for AI Explainability
• Deep Generative Model for Human Mobility Behavior
• Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin
• Valid Stopping for LLM Generation via Empirical Dynamic Formal Lift
• Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels
• ATLO-ML: Adaptive Time-Length Optimizer for Machine Learning -- Insights from Air Quality Forecasting
• A Median Perspective on Unlabeled Data for Out-of-Distribution Detection
• LogSTOP: Temporal Scores over Prediction Sequences for Matching and Retrieval
• Visualizing Multimodality in Combinatorial Search Landscapes
• CLAQS: Compact Learnable All-Quantum Token Mixer with Shared-ansatz for Text Classification
• Scalable Policy-Based RL Algorithms for POMDPs
• Incoherence in goal-conditioned autoregressive models
• The Markovian Thinker
• The Algebra of Meaning: Why Machines Need Montague More Than Moore's Law
• HSNet: Heterogeneous Subgraph Network for Single Image Super-resolution
• The Framework That Survives Bad Models: Human-AI Collaboration For Clinical Trials
• SDQM: Synthetic Data Quality Metric for Object Detection Dataset Evaluation
• Reading Between the Lines: Towards Reliable Black-box LLM Fingerprinting via Zeroth-order Gradient Estimation
• AI-Driven Forecasting and Monitoring of Urban Water System
• Control-Augmented Autoregressive Diffusion for Data Assimilation
• StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering
• Distilling Lightweight Language Models for C/C++ Vulnerabilities
• The False Promise of Zero-Shot Super-Resolution in Machine-Learned Operators
• Local Reinforcement Learning with Action-Conditioned Root Mean Squared Q-Functions
• Delay Independent Safe Control with Neural Networks: Positive Lur'e Certificates for Risk Aware Autonomy
• Automated Neural Architecture Design for Industrial Defect Detection
• Heptapod: Language Modeling on Visual Signals
• Incremental Summarization for Customer Support via Progressive Note-Taking and Agent Feedback
• Semantic Segmentation Algorithm Based on Light Field and LiDAR Fusion
• Learning to Rewrite Prompts for Bootstrapping LLMs on Downstream Tasks
• AISysRev -- LLM-based Tool for Title-abstract Screening
• Dual Goal Representations
• LLM Company Policies and Policy Implications in Software Organizations
• Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
• Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization
• Evaluating LLMs for Historical Document OCR: A Methodological Framework for Digital Humanities
• Modeling COVID-19 Dynamics in German States Using Physics-Informed Neural Networks
• Foundations of LLM Knowledge Materialization: Termination, Reproducibility, Robustness
• Extreme Amodal Face Detection
• FURINA: A Fully Customizable Role-Playing Benchmark via Scalable Multi-Agent Collaboration Pipeline
• Recurrence-Complete Frame-based Action Models
• CNN-TFT explained by SHAP with multi-head attention weights for time series forecasting
• SID: Multi-LLM Debate Driven by Self Signals
• OpenJAI-v1.0: An Open Thai Large Language Model
• Enhancing Bankruptcy Prediction of Banks through Advanced Machine Learning Techniques: An Innovative Approach and Analysis
• Explaining raw data complexity to improve satellite onboard processing
• Towards Generalization of Graph Neural Networks for AC Optimal Power Flow
• Multi-hop Deep Joint Source-Channel Coding with Deep Hash Distillation for Semantically Aligned Image Retrieval
• MoRE-GNN: Multi-omics Data Integration with a Heterogeneous Graph Autoencoder
• Multi-Dimensional Autoscaling of Stream Processing Services on Edge Devices
• M3Retrieve: Benchmarking Multimodal Retrieval for Medicine
• Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
• Emotionally Vulnerable Subtype of Internet Gaming Disorder: Measuring and Exploring the Pathology of Problematic Generative AI Use
• DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
• LongRM: Revealing and Unlocking the Context Boundary of Reward Modeling
• Bayesian Nonparametric Dynamical Clustering of Time Series
• Expressive and Scalable Quantum Fusion for Multimodal Learning
• Grouped Differential Attention
• Open ASR Leaderboard: Towards Reproducible and Transparent Multilingual and Long-Form Speech Recognition Evaluation
• EDUMATH: Generating Standards-aligned Educational Math Word Problems
• Generating Surface for Text-to-3D using 2D Gaussian Splatting
• Learning Global Representation from Queries for Vectorized HD Map Construction
• VelLMes: A high-interaction AI-based deception framework
• The Limits of Goal-Setting Theory in LLM-Driven Assessment
• Pragyaan: Designing and Curating High-Quality Cultural Post-Training Datasets for Indian Languages
• Native Hybrid Attention for Efficient Sequence Modeling
• Federated Unlearning in the Wild: Rethinking Fairness and Data Discrepancy
• Mining the Mind: What 100M Beliefs Reveal About Frontier LLM Knowledge
• Unified Molecule Pre-training with Flexible 2D and 3D Modalities: Single and Paired Modality Integration
• Search-R3: Unifying Reasoning and Embedding Generation in Large Language Models
• Introspection in Learned Semantic Scene Graph Localisation
• LuxInstruct: A Cross-Lingual Instruction Tuning Dataset For Luxembourgish
• Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications
• HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
• Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report
• Opt-ICL at LeWiDi-2025: Maximizing In-Context Signal from Rater Examples via Meta-Learning
• Graph Conditioned Diffusion for Controllable Histopathology Image Generation
• A Digital Twin Framework for Metamorphic Testing of Autonomous Driving Systems Using Generative Model
• TrackVLA++: Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual Tracking
• Comparing human and language models sentence processing difficulties on complex structures
• AlphaApollo: Orchestrating Foundation Models and Professional Tools into a Self-Evolving System for Deep Agentic Reasoning
• Bridging Reasoning to Learning: Unmasking Illusions using Complexity Out of Distribution Generalization
• BuilderBench -- A benchmark for generalist agents
• Requirements for Game-Based Learning Design Framework for Information System Integration in the Context of Post-Merger Integration
• Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks
• Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectory?
• Flavonoid Fusion: Creating a Knowledge Graph to Unveil the Interplay Between Food and Health
• PuzzlePlex: Benchmarking Foundation Models on Reasoning and Planning with Puzzles
• Beneficial Reasoning Behaviors in Agentic Search and Effective Post-training to Obtain Them
• Auto-Prompt Ensemble for LLM Judge
• WebDART: Dynamic Decomposition and Re-planning for Complex Web Tasks
• Fine-Grained Emotion Recognition via In-Context Learning
• Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support
• Inefficiencies of Meta Agents for Agent Design
• MultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models
• Verifying Memoryless Sequential Decision-making of Large Language Models
• Evolving and Executing Research Plans via Double-Loop Multi-Agent Collaboration
• Autoformalizer with Tool Feedback
• TGPR: Tree-Guided Policy Refinement for Robust Self-Debugging of LLMs
• LLM-Assisted Modeling of Semantic Web-Enabled Multi-Agents Systems with AJAN
• Revisiting the Uniform Information Density Hypothesis in LLM Reasoning Traces
• Tool-Augmented Policy Optimization: Synergizing Reasoning and Adaptive Tool Use with Reinforcement Learning
• Prompt Optimization Across Multiple Agents for Representing Diverse Human Populations
• Inductive Learning for Possibilistic Logic Programs Under Stable Models
• VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems
• The Cognitive Bandwidth Bottleneck: Shifting Long-Horizon Agent from Planning with Actions to Planning with Schemas
• The Contingencies of Physical Embodiment Allow for Open-Endedness and Care
• Integrating Domain Knowledge into Process Discovery Using Large Language Models
• NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents
• Multi-Objective Multi-Agent Path Finding with Lexicographic Cost Preferences
• Agentic generative AI for media content discovery at the national football league
• DeepXPalm: Tilt and Position Rendering using Palm-worn Haptic Display and CNN-based Tactile Pattern Recognition
• TiltXter: CNN-based Electro-tactile Rendering of Tilt Angle for Telemanipulation of Pasteur Pipettes
• A Multimodal GUI Architecture for Interfacing with LLM-Based Conversational Assistants
• Exploring Human-AI Collaboration Using Mental Models of Early Adopters of Multi-Agent Generative AI Tools
• Generalized Multi-agent Social Simulation Framework
• Stacked Regression using Off-the-shelf, Stimulus-tuned and Fine-tuned Neural Networks for Predicting fMRI Brain Responses to Movies (Algonauts 2025 Report)
• Uncertainty Quantification In Surface Landmines and UXO Classification Using MC Dropout
• Knowledge Graph-Guided Multi-Agent Distillation for Reliable Industrial Question Answering with Datasets
• Transparent Reference-free Automated Evaluation of Open-Ended User Survey Responses
• CoT Referring: Improving Referring Expression Tasks with Grounded Reasoning
• Evaluating Embedding Frameworks for Scientific Domain
• DynBenchmark: Customizable Ground Truths to Benchmark Community Detection and Tracking in Temporal Networks
• TRepLiNa: Layer-wise CKA+REPINA Alignment Improves Low-Resource Machine Translation in Aya-23 8B
• Scalable multilingual PII annotation for responsible AI in LLMs
• Dream2Image : An Open Multimodal EEG Dataset for Decoding and Visualizing Dreams with Artificial Intelligence
• LLM-Driven Rubric-Based Assessment of Algebraic Competence in Multi-Stage Block Coding Tasks with Design and Field Evaluation
• Ensemble Deep Learning and LLM-Assisted Reporting for Automated Skin Lesion Diagnosis
• Prakriti200: A Questionnaire-Based Dataset of 200 Ayurvedic Prakriti Assessments
• Dual-stage and Lightweight Patient Chart Summarization for Emergency Physicians
• Language models for longitudinal analysis of abusive content in Billboard Music Charts