Papers
Tue 19 May 2026
594 papers
- The Asymmetric Effects of Knowledge Distillation on Bias in Small Language ModelsKnowledge distillation → Knowledge distillation for LLMs
- ZeroR@CHiPSAL 2026: Two-Stage Vision-Language Adaptation with Contrastive Learning for Nepali Meme ClassificationMultimodal LLMs / vision-language models → Image editing and quality assessment
- DeepLens Diagnosis Agent: Agentic Workflow Design Lets a Small Reasoning Model Compete with Frontier LLMsLLM reasoning → Clinical and biomedical applications +1
- DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping DecodingEfficient LLM inference and serving → Diffusion LLM and MoE inference
- MUX: Continuous Reasoning via Multiplexed TokensLLM reasoning → Test-time compute and efficient thinking
- SelKV: Selective KV Cache Merging with Per-Token Merge-or-Drop and Attention CompensationEfficient LLM inference and serving → KV cache optimization
- OriginBlame: Record- and Token-Level Data Provenance for AI Training DatasetsLLM safety and security → Machine unlearning
- High-Dimensional Concentration and Retrieval Instability in Embedding Spaces: Implications for Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
- Beyond Fixed Budgets: Characterizing the Inelasticity and Limitations of Tree-of-Thought Reasoning StrategiesLLM reasoning → Test-time compute and efficient thinking
- Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and BenchmarkOffline RL and imitation learning from data → Offline RL algorithms
- Beyond Text and Tables: Vision-Language Model Integration in ComProScanner for Extracting Materials Data from Scientific Figures with High AccuracyMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Graph-Augmented Retrieval for Cross-Entity Financial Sentiment Analysis: A Comparative StudyRetrieval-augmented generation → Legal and financial RAG
- Reinforcement Learning for Optimal Experiment Design in Parameter Identification of Mechatronic SystemsDeep reinforcement learning methods → Safe and constrained RL
- APS: Bias-Controlled Adaptive Prototype Simulation for Population-Scale LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward DecompositionLLM reasoning → Test-time compute and efficient thinking +1
- Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous DrivingWorld models → World models for autonomous driving +2
- Latent Cache Flow: Model-to-Model Communication Without TextLLM agents and tool use → Software engineering coding agents
- PrefBench: Evaluating Zero-Shot LLM Agents in Hidden-Preference Personalized Pricing NegotiationsLLM agents and tool use → Social simulation and multi-agent debate
- Protein Thoughts: Interpretable Reasoning with Tree of Thoughts and Embedding-Space Flow Matching for Protein-Protein Interaction DiscoveryLLM reasoning → Clinical and biomedical applications
- Multi-agent Collaboration with State ManagementLLM agents and tool use → Software engineering coding agents
- Complementing reinforcement learning with SFT through logit averaging in the post training of LLMsLLM reasoning → Reinforcement learning for reasoning
- What Do Agents Communicate? Characterizing Information Exchange in Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Latent Process Generator MatchingDiffusion models → Flow matching, time series and science
- The Yes-Man Syndrome: Benchmarking Abstention in Embodied Robotic AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Pseudo-Formalization for Automatic Proof VerificationLLM reasoning → Mathematical reasoning
- AgentAtlas: Beyond Outcome Leaderboards for LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Tippett-minimum Fusion of Representation-space Diffusion Models for Multi-Encoder Out-of-Distribution DetectionDiffusion models → Medical imaging and segmentation
- A Human-in-the-Loop Framework for Efficient Prompt Selection in Microscopy Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Code Generation by Differential Test Time ScalingLLM reasoning → Reasoning for agents, planning and code
- EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT SynthesisDiffusion models → Medical imaging and segmentation
- HalluCXR: Benchmarking and Mitigating Hallucinations in Medical Vision-Language Models for Chest Radiograph InterpretationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware DevelopmentLLM agents and tool use → Software engineering coding agents
- Do Vision-Language Models Understand 3D Scenes or Just Catalogue Objects?Multimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Spacetime Optimal-Transport Attention for Visuo-Haptic Imitation Learning of Contact-Rich ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Miller-Index-Based Latent Crystallographic Fracture Plane Reasoning and generation with Vision-Language ModelsLLM reasoning → Clinical and biomedical applications +1
- Mechanics of Bias and Reasoning: Interpreting the Impact of Chain-of-Thought Prompting on Gender Bias in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Spectral Souping: A Unified Framework for Online Preference AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- ConceptSeg-R1: Segment Any Concept via Meta-Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- When Reasoning Supervision Hurts: TTCW-Based Long-Form Literary Review GenerationLLM reasoning → Reasoning benchmarks and evaluation
- Consistently Informative Soft-Label Temperature for Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Refusal Evaluation in Coding LLMs and Code Agents: A Systematic Review of Thirteen Malicious-Code Prompt Corpora (2023-2025)LLM agents and tool use → Agent threats, guardrails and governance +1
- Memory-Induced Supra-Competitive Outcomes Between Deep Reinforcement Learning Agents in Optimal Trade ExecutionDeep reinforcement learning methods → Adversarial robustness and RL in finance
- ParaVT: Taming the Tool Prior Paradox for Parallel Tool Use in Agentic Video Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Causal Unlearning in Collaborative Optimization: Exact and Approximate Influence Reversal under Adversarial ContributionsLLM safety and security → Federated unlearning and poisoning
- FullFlow: Upgrading Text-to-Image Flow Matching Models for Bidirectional Vision--Language GenerationDiffusion models → Image generation, text-to-image and editing
- Mix-Quant: Quantized Prefilling, Precise Decoding for Agentic LLMsLLM agents and tool use → Software engineering coding agents
- Pramana: A Protocol-Layer Treatment of Claim Verification in Autonomous Agent NetworksLLM agents and tool use → Agent threats, guardrails and governance
- Tiny-Engram: Trigger-Indexed Concept Tables for Generative VisionDiffusion models → Image generation, text-to-image and editing
- WildRoadBench: A Wild Aerial Road-Damage Grounding Benchmark for Vision-Language Models and Autonomous AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- AirfoilGen: A valid-by-construction and performance-aware latent diffusion model for airfoil generationDiffusion models → Flow matching, time series and science
- Weasel: Out-of-Domain Generalization for Web Agents via Importance-Diversity Data SelectionLLM agents and tool use → Web, search, and research agents
- Adaptive Probe-based Steering for Robust LLM JailbreakingLLM safety and security → Jailbreaking
- Introspective X Training: Feedback Conditioning Improves Scaling Across all LLM Training StagesLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- JUDO: A Juxtaposed Domain-Oriented Multimodal Reasoner for Industrial Anomaly QAMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Do Vision Models Truly Forget? New Findings from Representation-Level Certification of Visual Unlearning in Vertical Federated LearningLLM safety and security → Machine unlearning
- The Economics of Model Collapse: Equilibrium, Welfare, and Optimal Provenance Subsidies in Synthetic Data MarketsSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- ClaimDiff-RL: Fine-Grained Caption Reinforcement Learning through Visual Claim ComparisonDeep reinforcement learning methods → RL training of language and agent models
- Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography AnalysisLLM reasoning → Clinical and biomedical applications +1
- PolycubeNet: A Dual-latent Diffusion Model for Polycube-Based Hexahedral Mesh GenerationDiffusion models → 3D, point cloud and scene generation
- Modality-Decoupled Online Recursive EditingMultimodal LLMs / vision-language models → Image editing and quality assessment
- Smaller Abstract State Spaces Enable Cross-Scale Generalization in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert OffloadMixture-of-experts → Vision mixture-of-experts
- From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- ClinSeekAgent: Automating Multimodal Evidence Seeking for Agentic Clinical ReasoningLLM reasoning → Clinical and biomedical applications +1
- A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM AgentsLLM agents and tool use → Software engineering coding agents
- KoRe: Compact Knowledge Representations for Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language ModelsLLM reasoning → Clinical and biomedical applications +1
- When Does Model Collapse Occur in Structured Interactive Learning?Synthetic data and self-improvement for LLMs → Model collapse from synthetic data
- MixRea: Benchmarking Explicit-Implicit Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- BiRD: A Bidirectional Ranking Defense Mechanism for Retrieval Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- Draft Less, Retrieve More: Hybrid Tree Construction for Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- ThoughtTrace: Understanding User Thoughts in Real-World LLM InteractionsLLM reasoning → Reasoning benchmarks and evaluation
- What Do Evolutionary Coding Agents Evolve?LLM agents and tool use → Software engineering coding agents
- BalanceRAG: Joint Risk Calibration for Cascaded Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- VL-DPO: Vision-Language-Guided Finetuning for Preference-Aligned Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies +1
- CopT: Contrastive On-Policy Thinking with Continuous Spaces for General and Agentic ReasoningLLM reasoning → Prompting and chain-of-thought reasoning +1
- Tail Annealing for Heavy-Tailed Flow MatchingDiffusion models → Flow matching, time series and science
- Text-to-SPARQL Generation with Reinforcement Learning: A GRPO-based Approach on DBLPLLM reasoning → Reinforcement learning for reasoning
- Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Towards LLM-Assisted Architecture Recovery for Real-World ROS~2 Systems: An Agent-Based Multi-Level Approach to Hierarchical Structural Architecture ReconstructionLLM agents and tool use → Software engineering coding agents
- Does Code Cleanliness Affect Coding Agents? A Controlled Minimal-Pair StudyLLM agents and tool use → Software engineering coding agents
- When Critics Disagree: Adaptive Reward Poisoning Attacks in RIS-Aided Wireless Control SystemDeep reinforcement learning methods → Adversarial robustness and RL in finance
- A Nash Equilibrium Framework For Training-Free Multimodal Step VerificationLLM reasoning → Test-time compute and efficient thinking +1
- When Skills Don't Help: A Negative Result on Procedural Knowledge for Tool-Grounded Agents in Offensive CybersecurityLLM agents and tool use → Agent threats, guardrails and governance
- FlexDraft: Flexible Speculative Decoding via Attention Tuning and Bonus-Guided CalibrationEfficient LLM inference and serving → Speculative decoding
- GeoX: Mastering Geospatial Reasoning Through Self-Play and Verifiable RewardsLLM reasoning → Spatial and embodied reasoning +1
- CogOmniControl: Reasoning-Driven Controllable Video Generation via Creative Intent CognitionLLM reasoning → Multimodal reasoning +1
- A Case for Agentic Tuning: From Documentation to Action in PostgreSQLLLM agents and tool use → Web, search, and research agents
- Safe Deep Reinforcement Learning for Spacecraft Reorientation with Pointing Keep-Out ConstraintDeep reinforcement learning methods → RL for robot navigation and UAV control
- Detecting Fluent Optimization-Based Adversarial Prompts via Sequential Entropy ChangesLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- World-Ego Modeling for Long-Horizon Evolution in Hybrid Embodied TasksWorld models → World models for navigation +1
- Towards Fine-Grained Robustness: Attention-Guided Test-Time Prompt Tuning for Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Rethinking How to Remember: Beyond Atomic Facts in Lifelong LLM Agent MemoryLLM reasoning → Reasoning for agents, planning and code +1
- AffectVerse: Emotional World Models for Multimodal Affective ComputingWorld models → World models for language agents
- GEM: GPU-Variability-Aware Expert to GPU Mapping for MoE SystemsMixture-of-experts → Efficient MoE training and inference systems
- A Measure-Theoretic Analysis of Reasoning: Structural Generalization and Approximation LimitsLLM reasoning → Test-time compute and efficient thinking
- Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive DomainsLLM safety and security → Prompt injection and agent security
- PEEK: Context Map as an Orientation Cache for Long-Context LLM AgentsLLM agents and tool use → Agent memory systems
All 594
- Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- JAXenstein: Accelerated Benchmarking for First-Person EnvironmentsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- RoHIL: Robust Human-in-the-Loop Robotic Reinforcement Learning Against Illumination VariationsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Beyond Action Residuals: Real-World Robot Policy Steering via Bottleneck Latent Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- LLM Agents Make Collective Belief Dynamics Programmable: Challenges and Research DirectionsLLM agents and tool use → Social simulation and multi-agent debate
- Streamlined Constraint Reasoning via CNN Pattern Recognition on Enumerated SolutionsLLM reasoning → Mathematical reasoning
- Structural Energy Guidance for View-Consistent Text-to-3D GenerationDiffusion models → 3D, point cloud and scene generation
- Structured Layout Priors for Robust Out-of-Distribution Visual Document UnderstandingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Landscape-Awareness for Geometric View Diffusion ModelDiffusion models → 3D, point cloud and scene generation
- Eyes on VLM: Benchmarking Gaze Following and Social Gaze Prediction in Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Fast Tensorization of Neural Networks via Slice-wise Feature DistillationKnowledge distillation → General knowledge distillation methods
- When Preference Labels Fall Short: Aligning Diffusion Models from Real DataDiffusion models → Diffusion and flow policies for robotics +1
- From Role to Person: Trust Calibration Challenges in Twin AgentsLLM agents and tool use → Social simulation and multi-agent debate
- From Prompts to Pavement Through Time: Temporal Grounding in Agentic Scene-to-Plan ReasoningLLM reasoning → Chain-of-thought reasoning for driving +2
- Chunking German Legal CodeRetrieval-augmented generation → Legal and financial RAG
- Stitched Value Model for Diffusion AlignmentLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Towards Trust Calibration in Socially Interactive Agents: Investigating Gendered Multimodal Behaviors Generation with LLMsLLM agents and tool use → Social simulation and multi-agent debate
- Mechanisms of Object Localization in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Prior Knowledge or Search? A Study of LLM Agents in Hardware-Aware Code OptimizationLLM agents and tool use → Software engineering coding agents
- Preferences Order, Ratings Anchor: From Fused Expert Aesthetic Ground Truth to Self-DistillationKnowledge distillation → Multimodal distillation
- Understanding Inference Scaling for LLMs: Bottlenecks, Trade-offs, and Performance PrinciplesMixture-of-experts → Efficient MoE training and inference systems
- Beyond Imitation: Learning Safe End-to-End Autonomous Driving from Hard NegativesEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- OpenComputer: Verifiable Software Worlds for Computer-Use AgentsLLM agents and tool use → GUI and mobile agents
- Minimax Optimal Variance-Aware Regret Bounds for Multinomial Logistic MDPsDeep reinforcement learning methods → RL theory and sample complexity
- What Really Improves Mathematical Reasoning: Structured Reasoning Signals Beyond Pure CodeLLM reasoning → Reasoning for agents, planning and code
- Memory-Augmented Reinforcement Learning Agent for CAD GenerationLLM agents and tool use → Multimodal and embodied agents +1
- EngiAI: Capability-Based Evaluation of Tool-Connected LLM Agents for Engineering DesignLLM agents and tool use → Software engineering coding agents
- FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching ModelsDiffusion models → Robustness, privacy and adversarial aspects
- ContextRAG: Extraction-Free Hierarchical Graph Construction for Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- LIFT and PLACE: A Simple, Stable, and Effective Knowledge Distillation Framework for Lightweight Diffusion ModelsDiffusion models → Diffusion foundations and sampling +1
- Aero-World: Action-Conditioned Aerial Video Generation from Inertial ControlsDiffusion models → Diffusion and flow policies for robotics
- Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse AttentionDiffusion models → Discrete and text diffusion
- Mathematical Reasoning in Large Language Models: Benchmarks, Architectures, Evaluation, and Open ChallengesLLM reasoning → Mathematical reasoning
- Measuring Safety Alignment Effects in Autonomous Security AgentsLLM agents and tool use → Agent threats, guardrails and governance +2
- Physics-in-the-Loop: A Hybrid Agentic Architecture for Validated CAD Engineering DesignLLM agents and tool use → Multimodal and embodied agents
- Awakening the Hydra: Stabilizing Multi-Concept Backdoor Injection in Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- RoVLA: Multi-Consistency Constraints for Robust Vision-Language-Action ModelsVision-language-action models → Failure recovery and robustness
- CriterAlign: Criterion-Centric Rationale Alignment for Code Preference JudgingLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Pseudocode-Guided Structured Reasoning for Automating Reliable Inference in Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and BeyondEfficient LLM inference and serving → KV cache quantization
- Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual GenerationLLM reasoning → Multimodal reasoning
- HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World ModelsWorld models → World models for autonomous driving +1
- Diffusion Graph Posterior Sampling for Nonlinear Inverse Problems with Application to Electrical Impedance TomographyDiffusion models → Inverse problems and image restoration
- Formal Skill: Programmable Runtime Skills for Efficient and Accurate LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- FlyMirage: A Fully Automated Generation Pipeline for Diverse and Scalable UAV Flight Data via Generative World ModelWorld models → World models for navigation
- LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial HardeningLLM reasoning → Reasoning benchmarks and evaluation
- Towards Multi-Model LLM Schedulers: Empirical Insights into Offloading and PreemptionEfficient LLM inference and serving → Serving systems and request scheduling
- Implicit Action Chunking for Smooth Continuous ControlDeep reinforcement learning methods → Deep RL algorithms and representations
- PAPO-VLA: Planning-Aware Policy Optimization for Vision-Language-Action ModelsVision-language-action models → Reinforcement learning and post-training
- Library Drift: Diagnosing and Fixing a Silent Failure Mode in Self-Evolving LLM Skill LibrariesSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- EgoCoT-Bench: Benchmarking Grounded and Verifiable Operation-Centric Chain of Thought Reasoning for MLLMsLLM reasoning → Spatial and embodied reasoning +1
- Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed SelectionDiffusion models → Image generation, text-to-image and editing
- Towards Camera-Robust 3D Localization: Equation-Anchored Tool-Use for MLLMsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SafeAlign-VLA: A Negative-Enhanced Safe Alignment Framework for Risk-Aware Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Investigating Cross-Modal Skill Injection: Scenarios, Methods, and HyperparametersMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- EventPrune: Cascaded Event-Assisted Token Pruning for Efficient First-Person Dynamic Spatial ReasoningLLM reasoning → Multimodal reasoning +1
- ARC-RL: A Reinforcement Learning Playground Inspired by ARC RaidersDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Attention-Guided Reward for Reinforcement Learning-based Jailbreak against Large Reasoning ModelsLLM reasoning → Reasoning for agents, planning and code +1
- CutVerse: A Compositional GUI Agents Benchmark for Media Post-Production EditingLLM agents and tool use → GUI and mobile agents
- Exposing Functional Fusion: A New Class of Strategic Backdoor in Dynamic Prompt ArchitecturesLLM safety and security → Backdoor and data poisoning attacks
- Drifting Objectives for Refining Discrete Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Sampling-Based Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- Beyond Mode Collapse: Distribution Matching for Diverse ReasoningLLM reasoning → Reinforcement learning for reasoning
- What and When to Distill: Selective Hindsight Distillation for Multi-Turn AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Detecting and Mitigating the Correct-Answer Extinction Window in Test-Time Reinforcement Learning with Majority VotingLLM reasoning → Reinforcement learning for reasoning +1
- CEPO: RLVR Self-Distillation using Contrastive Evidence Policy OptimizationLLM reasoning → Reinforcement learning for reasoning +1
- Backtracking When It Strays: Mitigating Dual Exposure Biases in LLM Reasoning DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- When to Stop Reusing: Dynamic Gradient Gating for Sample-Efficient RLVRLLM reasoning → Reinforcement learning for reasoning
- Conflict-Resilient Multi-Agent Reasoning via Signed Graph ModelingLLM reasoning → Reasoning for agents, planning and code +1
- LambdaPO: A Lambda Style Policy Optimization for Reasoning Language ModelsLLM reasoning → Reinforcement learning for reasoning
- Vision Harnessing Agent for Open Ad-hoc SegmentationLLM agents and tool use → Multimodal and embodied agents
- Tweedie's Formulae and Diffusion Generative Models Beyond GaussianDiffusion models → Diffusion foundations and sampling
- LMM-Track4D: Eliciting 4D Dynamic Reasoning in LMMs via Trajectory-Grounded DialogueMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- PRISM: A Benchmark for Programmatic Spatial-Temporal ReasoningLLM reasoning → Multimodal reasoning +1
- The Evaluation Game: Beyond Static LLM BenchmarkingLLM safety and security → Jailbreaking
- Multi-Scale Generative Modeling with Heat Dissipation Flow MatchingDiffusion models → Flow matching, time series and science
- Toward User Comprehension Supports for LLM Agent Skill SpecificationsLLM agents and tool use → Agent threats, guardrails and governance
- MAM-CLIP: Vision-Language Pretraining on Mammography Atlases for BI-RADS ClassificationMultimodal LLMs / vision-language models → Medical vision-language models
- Taming the Thinker: Conditional Entropy Shaping for Adaptive LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- Brain alignment of reasoning and action representations from vision-language and action models during naturalistic gameplayLLM reasoning → Reasoning benchmarks and evaluation
- PAVE: A Cognitive Architecture for Legitimate Violation in Generative Agent SocietiesLLM agents and tool use → Social simulation and multi-agent debate
- Retrieval-Augmented Linguistic CalibrationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Semantic-Enriched Latent Visual ReasoningLLM reasoning → Multimodal reasoning
- HalluWorld: A Controlled Benchmark for Hallucination via Reference World ModelsWorld models → World models for language agents +2
- STAR-P'olyaMath: Multi-Agent Reasoning under Persistent Meta-Strategic SupervisionLLM reasoning → Reasoning for agents, planning and code +1
- Agentic Trading: When LLM Agents Meet Financial MarketsLLM agents and tool use → Financial trading and forecasting agents
- MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill OptimizationLLM agents and tool use → Agent skill learning and evolution
- RE-VLM: Event-Augmented Vision-Language Model for Scene UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- RoboJailBench: Benchmarking Adversarial Attacks and Defenses in Embodied Robotic AgentsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- DynaTok: Temporally Adaptive and Positional Bias-Aware Token Compression for Video-LLMsLLM reasoning → Multimodal reasoning +1
- Exploring and Developing a Pre-Model Safeguard with Draft ModelsLLM safety and security → Jailbreaking
- TextAlign: Preference Alignment for Text Rendering with Hierarchical RewardsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- SWEET: Sparse World Modeling with Image Editing for Embodied Task ExecutionWorld models → Embodied and robot world models
- Inference-Time Scaling in Diffusion Models through Iterative Partial RefinementLLM reasoning → Diffusion reasoning and test-time scaling +1
- A Multi-Agent Framework for Feature-Constrained Difficulty Control in Reading Comprehension Item GenerationLLM agents and tool use → General LLM agent frameworks and benchmarks
- How Do Document Parsers Break? Auditing Structural Vulnerability in Document IntelligenceRetrieval-augmented generation → Multimodal RAG
- MetaRA: Metamorphic Robustness Assessment for Multimodal Large Language Model-based Visual Question Answering SystemsLLM reasoning → Multimodal reasoning +1
- Mat'ern Noise for Triangulation-Agnostic Flow Matching on MeshesDiffusion models → Flow matching, time series and science
- iGSP:Implicit Gradient Subspace Projection for Efficient Continual Learning of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Cross-Paradigm Knowledge Distillation: A Comprehensive Study of Bidirectional Transfer Between Random Forests and Deep Neural Networks for Big Data ApplicationsKnowledge distillation → General knowledge distillation methods
- DEFLECT: Temporal Counterfactual Preference Learning for Delay-Robust Asynchronous VLAsVision-language-action models → Efficient VLA inference and adaptation
- UAV-Assisted Cooperative Edge Inference for Low-Altitude Economy via MoE-based Hierarchical Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- What Makes Synthetic Data Effective in Image SegmentationDiffusion models → Medical imaging and segmentation
- Rethinking Muon Beyond Pretraining: Spectral Failures and High-Pass Remedies for VLA and RLVRLLM reasoning → Reinforcement learning for reasoning
- FPED: A Functional-Network Prior-Guided Mixture-of-Experts Framework for Interpretable Brain DecodingMixture-of-experts → Medical and biomedical MoE
- MuMuTestUp: Mutation-based Multi-Agent Test Case UpdateLLM agents and tool use → Software engineering coding agents
- Backdooring Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- AQuaUI: Visual Token Reduction for GUI Agents with Adaptive QuadtreesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- Causal Evidence for Attention Head Imbalance in Modality Conflict HallucinationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- PhyWorld: Physics-Faithful World Model for Video GenerationWorld models → Latent predictive world models
- CASPIAN: Online Detection and Attribution of Cascade Attacks in LLM Multi-Agent Systems via Cross-Channel Causal MonitoringLLM agents and tool use → Agent threats, guardrails and governance
- GAE Falls Short in Imperfect-Information Self-Play Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- DeRegiME: Deep Regime Mixtures for Probabilistic Forecasting under Distribution ShiftMixture-of-experts → MoE for time series and graphs
- Diagnosing Multi-step Reasoning Failures in Black-box LLMs via Stepwise Confidence AttributionLLM reasoning → Test-time compute and efficient thinking
- Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive ModelsLLM safety and security → Backdoor and data poisoning attacks
- HAVEN: Hierarchically Aligned Multimodal Benchmark for Unified Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- SimGym: A Framework for A/B Test Simulation in E-Commerce with Traffic-Grounded VLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Rotation-Aligned Key Channel Pruning for Efficient Vision-Language Model InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Precision Physical Activity Prescription via Reinforcement Learning for Functional ActionsDeep reinforcement learning methods → RL for clinical treatment and surgery
- Aerial Inspection Behaviors via RL-based Quadrotor Control for Under-canopy Forest EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
- KernelBrain: Coarse-to-Fine, Budget-Aware Search for Agentic GPU Kernel Optimization
- Learning Stateful Predictive Knowledge From Experience
- Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges
- Imbalanced Data Clustering via Targeted Data Augmentation Using GMM and LLM
- JAXBench: Benchmarking Autonomous TPU Kernel Optimization
- DataPrep-Bench: Benchmarking LLMs as Training Data Preparators
- Symbolic Augmentation Closes a Canonical-Equivalence Blind Spot in Neural Fact-Checkers
- The Role of Rigor in Artificial Intelligence
- M3 QuestionIng: Multi-modal Multi-span Medical Question Answering
- Type Checking Project Haystack Grids using JSON Schema and Pydantic
- Zhinong AI: A Design-Science Study of an AI-Enabled Agricultural Decision-Support Platform for Smallholder Production
- The New Associationism: Lessons from Deep Learning
- Using Biometrics to Understand AI-Assisted Coding Performance and its Perception
- Gender Differences in AI Literacy Workshop Outcomes and Deepfake Engagement
- Occupational Prompting Reveals Cultural Bias in Large Language Models
- Reframing AI Loss of Control: What Control Is, How to Have It, How to Lose It
- Machine Learning-Based Bitcoin Trading Under Transaction Costs: Evidence From Walk-Forward Forecasting
- Evolutionary Algorithm for Reservoir Learning and Yielding
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- Updating the standard neuron model in artificial neural networks
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- CAFD: Concept-Aware DNN Fault Detection using VLMs
- A Tabular Schedule Abstraction for Communication-Aware Evaluation of Pipeline-Parallel LLM Training
- Remote sensing data imputation using deep learning for multispectral imagery
- FuRA: Full-Rank Parameter-Efficient Fine-Tuning with Spectral Preconditioning
- FusionSense: Tri-Stage Near-Sensor Learning for Runtime-Adaptive Multimodal Edge Intelligence
- Multi-Resolution Attribution from Adaptive Routing State
- Reading Calibrated Uncertainty from Language Model Trajectories
- Staging by the Book: Automatic Sleep Stage Classification Using Scoring Rules
- Classification of IED-free EEG Responses for Assisted Epilepsy Diagnosis
- JointHRRP-Net: A Statistically Constrained Decoupling Network for Joint Target and Jamming Recognition in Composite Jamming
- PilotWiMAE: Pilot-Native Representation Learning for Wireless Channels
- A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction
- CryoNet: A Deep Learning Framework for Multi-Modal Debris-Covered Glacier Mapping. A Case Study of the Poiqu Basin, Central Himalaya
- Tackle CSM in JPEG Steganalysis with Data Adaptation
- Group-Aware Matrix Estimation and Latent Subspace Recovery
- When Irregularity Helps: A Subclass Analysis of Inductive Bias in Neural Morphology
- Personality engineering with AI agents: A new methodology for negotiation research
- Spectral bandits for smooth graph functions with applications in recommender systems
- Faster or Stronger: Towards Flexible Visual Place Recognition via Weighted Aggregation and Token Pruning
- MAPS: A Synthetic Dataset for Probing Vision Models in a Controlled 3D Scene Space
- Sample Complexity of Transfer Learning: An Optimal Transport Approach
- Uncertainty-Guided Conservative Propagation for Structured Inference in Vessel Segmentation
- OpenSeisML: Open Large-Scale Real Seismic and well-log Dataset for Generative AI
- Continual Segmentation under Joint Nonstationarity
- What Do Biomedical NER and Entity Linking Benchmarks Measure? A Corpus-Centric Diagnostic Framework
- HADS-Net:A Hybrid Attention-Augmented Dual-Stream Network with Physics-Informed Augmentation for Breast Ultrasound Image Classification
- Axiomatizing Neural Networks via Pursuit of Subspaces
- Ada2MS: A Hybrid Optimization Algorithm Based on Exponential Mixing of Elementwise and Global Second-Moment Estimates
- Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networks
- NeuroQA: A Large-Scale Image-Grounded Benchmark for 3D Brain MRI Understanding
- Machine-Learning-Enhanced Non-Invasive Testing for MASLD Fibrosis: Shallow-Deep Neural Networks Versus FIB-4, Tabular Foundation Models, and Large Language Models
- An exponential mechanism based on quadratic approximations for fine-tuning machine learning models with privacy guarantees
- Open-World Evaluations for Measuring Frontier AI Capabilities
- Codec-Robust Attacks on Audio LLMs
- Online Conformal Prediction with Corrupted Feedback
- Fast Reconstruction of Exact Maxwell Dynamics from Sparse Data
- ShadeBench: A Benchmark Dataset for Building Shade Simulation in Sustainable Society
- Reinforcing Human Behavior Simulation via Verbal Feedback
- Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry
- A 10,000-Year Global Stochastic Tropical Cyclone Catalog with Wind-Dependent Track Transitions (WHITS)
- ECUASn: A family of metrics for principled evaluation of uncertainty-augmented systems
- ZEBRA: Zero-shot Budgeted Resource Allocation for LLM Orchestration
- Quadratic Characterizations for Reachability Analysis of Neural Networks
- Oracle Supervision Transfers for Hyperparameter Prediction in Model-Based Image Denoising
- Stage-Audit: Auditable Source-Frontier Discovery for Cross-Wiki Tables
- Training Language Agents to Learn from Experience
- Goodbye Drift: Anchored Tree Sampling for Long-Horizon Video-to-Video Generation
- CASCADE Conformal Prediction: Uncertainty-Adaptive Prediction Intervals for Two-Stage Clinical Decision Support
- High Quality Embeddings for Horn Logic Reasoning
- Understanding Model Behavior in Monocular Polyp Sizing
- HyperBones: Realtime Bone-driven Neural Garment Simulation with Hypernetwork Conditioning
- Pixel Wised Lesion Prediction on COVID-19 CT Imagery: A Comparative Analysis of Automated Image Segmentation Architectures
- ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach
- SMA-DP: Spectral Memory-Aware Differential Privacy for Deep Learning
- LLM Pretraining Shapes a Generalizable Manifold: Insights into Cross-Modal Transfer to Time Series
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- Modeling Emotional Dynamics in Agent-to-Agent Interactions on Moltbook
- Weight Decay Regimes in Grokking Transformers: Cheap Online Diagnostics
- Exact Symmetry as Algebra: Group-Structured Tensors that Enforce Physical Selection Rules
- Can Conversational XAI Improve User Performance? An Experimental Study
- Lighting-aware Unified Model for Instance Segmentation
- Hidden in Plain Sight: Finding MAHA on Reddit
- Expressivity of Contradiction Graphs
- AgentCo-op: Retrieval-Based Synthesis of Interoperable Multi-Agent Workflows
- OSCToM: RL-Guided Adversarial Generation for High-Order Theory of Mind
- Supervised Latent Restructuring for Small-Data Quantum Learning in Plant Phenomics
- Disentangling Sampling from Training Budget in Class-Imbalanced CT Body Composition Segmentation
- Puzzled By ChatGPT? No more! A Jigsaw Puzzle to Promote AI Literacy and Awareness
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- Score-Based Causal Discovery of Latent Variable Causal Models
- Latent Geometry as a Structural Monitor: Eigenspace Alignment for Anomaly Detection in Anonymity Networks
- STELLAR: Scaling 3D Perception Large Models for Autonomous Driving
- Nonlocal operator learning for fMRI encoding and decoding tasks
- How You Move Tells What You'll Do: Trajectory-Conditioned Egocentric Prediction
- Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs
- SUGAR: A Scalable Human-Video-Driven Generalizable Humanoid Loco-Manipulation Learning Framework
- Latent Space Guided Scenario Sampling for Multimodal Segmentation Under Missing Modalities
- DEL: Digit Entropy Loss for Numerical Learning of Large Language Models
- Security Document Classification with a Fine-Tuned Local Large Language Model: Benchmark Data and an Open-Source System
- HAPS: Rethinking Image Similarity for Virtual Staining
- Synchronization and Turn-Taking in Full-Duplex Speech Dialogue Models
- Proximal State Nudging: Reducing Skill Atrophy from AI Assistance
- Symmetrization of Loss Functions for Robust Training of Neural Networks in the Presence of Noisy Labels
- Corrected Integrated Laplace Approximation for Bayesian Inference in Latent Gaussian Models
- Capability neq Interpretability: Human Interpretability of Vision Foundation Models
- Targeting Clause Type Distributions: a Picklock for Random Satisfiability Problems
- Representability-Aware Neural Networks for Reduced Density Matrices: Application to Fractional Chern Insulators
- Less Data, Faster Training: repeating smaller datasets speeds up learning via sampling biases
- WaveGraphNet: Physics-Consistent Guided-Wave Damage Localization through Coupled Inverse-Forward Graph Learning
- SDM: A Powerful Tool for Evaluating Model Robustness
- Neural Collapse by Design: Learning Class Prototypes on the Hypersphere
- Co-Fusion4D: Spatio-temporal Collaborative Fusion for Robust 3D Object Detection
- Robust Subspace-Constrained Quadratic Models for Low-Dimensional Structure Learning
- Mechanisms of Misgeneralization in Physical Sequence Modeling
- MedCRP-CL: Continual Medical Image Segmentation via Bayesian Nonparametric Semantic Modality Discovery
- Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining
- Quant.npu: Enabling Efficient Mobile NPU Inference for on-device LLMs via Fully Static Quantization
- Closed-form predictive coding via hierarchical Gaussian filters
- Learning to Select Source-Traceable Evidence for Language-Model Prediction from Irregular Clinical Time Series
- PhysOmni: Physics-Grounded Multi-Object Scene Generation from a Single Image with Real-Time Interaction
- Plug-and-Play Spiking Operators: Breaking the Nonlinearity Bottleneck in Spiking Transformers
- FusionCell: Cross-Attentive Fusion of Layout Geometry and Netlist Topology for Standard-Cell Performance Prediction
- The Economics of AI Inference: Inflation Dynamics, Welfare Costs, and Optimal Monetary Policy under the Inference-Cost Phillips Curve
- OmniISR: A Unified Framework for Centralized and Federated Learning via Intermediate Supervision and Regularization
- You Don't Need Attention: Gated Convolutional Modeling for Watch-Based Fall Detection
- PiG-Avatar: Hierarchical Neural-Field-Guided Gaussian Avatars
- MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation
- Atoms of Thought: Universal EEG Representation Learning with Microstates
- Multi-axis Analysis of Image Manipulation Localization
- Long-term Power Grid Planning via Answer Set Programming
- HaorFloodAlert: A 72-Hour Machine Learning Early Warning System for Flash Floods in Bangladesh's Haor Wetlands
- Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR
- Interpretable Computer Vision for Defect Detection in X-ray Tomography of Aerospace SiC/SiC Composites
- SAGE: Scalable Automatic Gating Ensemble for Confident Negative Harvesting in Fraud Detection
- TideGS: Scalable Training of Over One Billion 3D Gaussian Splatting Primitives via Out-of-Core Optimization
- Less Back-and-Forth: A Comparative Study of Structured Prompting
- PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset
- Goal-Oriented Lower-Tail Calibration of Gaussian Processes for Bayesian Optimization
- Semi-Parametric Bayesian Additive Regression Trees for Risk Prediction with High-Dimensional Epigenetic Signatures and Low-Dimensional Covariates
- TrajTok: Adaptive Spatial Tokenization for Trajectory Representation Learning
- FiLark: a streaming-first software framework for end-to-end exploration, annotation, and algorithm integration in distributed acoustic sensing
- Beyond Prediction Accuracy: Target-Space Recovery Profiles for Evaluating Model-Brain Alignment
- Optimizing Computational-Statistical Runtime for Wasserstein Distance Estimation
- Using Aristotle API for AI-Assisted Theorem Proving in Lean 4: A Formalisation Case Study of the Grasshopper Problem
- Toto 2.0: Time Series Forecasting Enters the Scaling Era
- SetCon: Towards Open-Ended Referring Segmentation via Set-Level Concept Prediction
- k-Inductive Neural Barrier Certificates for Unknown Nonlinear Dynamics
- Beyond Isotropy in JEPAs: Hamiltonian Geometry and Symplectic Prediction
- Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing
- Neurosymbolic Learning for Inference-Time Argumentation
- MetaEarth-MM: Unified Multimodal Remote Sensing Image Generation with Scene-centered Joint Modeling
- INSHAPE: Instance-Level Shapelets for Interpretable Time-Series Classification
- Spatially Prompted Visual Trajectory Prediction for Egocentric Manipulation
- Probability-Conserving Flow Guidance
- Towards Distillation Guarantees under Algorithmic Alignment for Combinatorial Optimization
- X-Ray cardiac angiographic vessel segmentation based on pixel classification using machine learning and region growing
- Probing an Embodied LLM: When Higher Observation Fidelity Hurts Problem Solving
- Smooth Partial Lotteries for Stable Randomized Selection
- Cardiac fat segmentation using computed tomography and an image-to-image conditional generative adversarial neural network
- PromptRad: Knowledge-Enhanced Multi-Label Prompt-Tuning for Low-Resource Radiology Report Labeling
- Language Mutations Sustain the Persistences of Conspiracy Theories on Social Media
- OP2GS: Object-Aware 3D Gaussian Splatting with Dual-Opacity Primitives
- Mind Your Moras: Orthography-Aware Error Analysis of Neural Japanese Morphological Generation
- Active Context Selection Improves Simple Regret in Contextual Bandits
- D3-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market
- Stage-adaptive Token Selection for Efficient Omni-modal LLMs
- CAMERA: Adapting to Semantic Camouflage in Unsupervised Text-Attributed Graph Fraud Detection
- Take It or Leave It: Intent-Controlled Partial Optimal Transport
- Training-Free Bayesian Filtering with Generative Emulators
- AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration
- FGSVQA: Frequency-Guided Short-form Video Quality Assessment
- Training Neural Networks with Optimal Double-Bayesian Learning
- Fine-Tuning Without Forgetting via Loss-Adaptive Learning Rates
- LLM Benchmark Datasets Should Be Contamination-Resistant
- Minimalist Visual Inertial Odometry
- Beyond Binary Success: A Diagnostic Meta-Evaluation Framework for Fine-Grained Manipulation
- InterLight: Leveraging Intrinsic Illumination Priors for Low-Light Image Enhancement
- RECIPE: Procedural Planning via Grounding in Instructional Video
- Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction
- SphericalDreamer: Generating Navigable Immersive 3D Worlds with Panorama Fusion
- Block-Sphere Vector Quantization
- Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning
- Normative Networks for Source Separation via Local Plasticity and Dendritic Computation
- Learning Orthonormal Bases for Function Spaces
- Feed-Forward Gaussian Splatting from Sparse Aerial Views
- Exploiting Non-Negativity in DAG Structure Learning
- Probabilistic Tiny Recursive Model
- Variance-Reduced Manifold Sampling via Polynomial-Maximization Density Estimation
- What Are LLMs Doing to Scientific Communication? Measuring Changes in Writing Practices and Reading Experience
- StruMPL: Multi-task Dense Regression under Disjoint Partial Supervision and MNAR Labels
- Real-Time Parallel Counterfactual Regret Minimization
- Fast and Featureless Node Representation Learning with Partial Pairwise Supervision
- Where Does Authorship Signal Emerge in Encoder-Based Language Models?
- Hierarchical Contrastive Learning for Multi-Domain Protein-Ligand Binding
- Deep Tech to Space: Space Data Centers and AI Revolution at the Edge
- GoTTA be Diverse: Rethinking Memory Policies for Test-Time Adaptation
- GLUT: 3D Gaussian Lookup Table for Continuous Color Transformation
- Passive Construction Site Safety Monitoring via Persona-Scaffolded Adversarial Chain-of-Thought VLM Verification
- WoundFormer: Multi-Scale Spatial Feature Fusion for Multi-Class Wound Tissue Segmentation
- StableGrad: Backward Scale Control without Batch Normalization
- A Framework for Evaluating Zero-Shot Image Generation in Concept-based Explainability
- CLIF: Concept-Level Influence Functions for Transparent Bottleneck Models
- Auditing Privacy in Multi-Tenant RAG under Account Collusion
- CADENet: Condition-Adaptive Asynchronous Dual-Stream Enhancement Network for Adverse Weather Perception in Autonomous Driving
- A Closed-loop, State-centric, Multi-agent Framework for Passenger Load Estimation from Heterogeneous Data Streams
- Mega-ASR: Towards In-the-wild^2 Speech Recognition via Scaling up Real-world Acoustic Simulation
- Set-Valued Policy Learning
- Explainable Wastewater Digital Twins: Adaptive Context-Conditioned Structured Simulators with Self-Falsifying Decision Support
- Smooth Piecewise Cutting for Neural Operator to Handle Discontinuities and Sharp Transitions
- ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability
- LaCoVL-FER: Landmark-Guided Contrastive Learning Network with Vision-Language Enhancement for Facial Expression Recognition
- LP-Eval: Rubric and Dataset for Measuring the Quality of Legal Proposition Generation
- A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning
- FLUXtrapolation: A benchmark on extrapolating ecosystem fluxes
- LionMuon: Alternating Spectral and Sign Descent for Efficient Training
- Latent Laplace Diffusion for Irregular Multivariate Time Series
- Synergistic Foundation Models for Semi-Supervised Fetal Cardiac Ultrasound Analysis: SAM-Med2D Boundary Refinement and DINOv3 Semantic Enhancement
- Depth2Pose: A Pose-Based Benchmark for Monocular Depth Estimation without Ground-Truth Depth
- AffectAI-Capture: A Reproducible Multimodal Protocol for Small-Group Meeting Research
- Fast 4D Mesh Generation by Spatio-Temporal Attention Chains
- Fast Spawn&Prune (FS&P): Global convergence of stochastic conic particle gradient descent via birth/death process
- From SGD to Muon: Adaptive Optimization via Schatten-p Norms
- Distribution-Free Uncertainty Quantification for Continuous AI Agent Evaluation
- B-cos GNNs: Faithful Explanations through Dynamic Linearity
- AR1-ZO: Topology-Aware Rank-1 Zeroth-Order Queries for High-Rank LoRA Fine-Tuning
- Synthesis and Evaluation of Long-term History-aware Medical Dialogue
- GroupAffect-4: A Multimodal Dataset of Four-Person Collaborative Interaction
- CogScale: Scalable Benchmark for Sequence Processing
- MSAlign: Aligning Molecule and Mass Spectra representations for Metabolite Identification
- C2P-VAR: Continual and Compositional Personalization in Visual Autoregressive Models
- Real-World On-Vehicle Evaluation of Embedding-Based Anomaly Detection
- TERGAD: Structure-Aware Text-Enhanced Representations for Graph Anomaly Detection
- Decentralized Direct Volume Rendering: A Browser-Native GPU Architecture for MRI Digital Twins in Resource-Constrained Settings
- GeoMamba: A Geometry-driven MambaVision Framework and Dataset for Fine-grained Optical-SAR Object Retrieval
- Graph Neural Networks for Community Detection in Graph Signal Analysis
- Tango3D: Towards Alignment for Global and Local 2D-3D Correspondence
- Projecting Latent RL Actions: Towards Generalizable and Scalable Graph Combinatorial Optimization
- CAIT: A Syntactic Parsing Toolkit for Child-Adult InTeractions
- LLM-Based Financial Sentiment Analysis in Arabic: Evidence from Saudi Markets
- Physics-informed simulation framework for realistic sonar image generation and statistical validation
- Can Large Language Models Reliably Correct Errors in Low-Resource ASR? A Contamination-Aware Case Study on West Frisian
- WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images
- DocQT: Improving Document Forgery Localization Robustness via Diverse JPEG Quantization Tables
- Probabilistic Multivariate Time Series Forecasting with Diffusion Copulas
- Agentic Discovery of Cryomicroneedle Formulations
- Beyond Rational Illusion: Behaviorally Realistic Strategic Classification
- Transforming Constraint Programs to Input for Local Search
- Convergence of Consensus-Based Particle Methods for Nonconvex Bi-Level Optimization
- Cross-View Attention Fusion Net: A Prior-Guided Dual-View Representation Learning for Cardiac Output Estimation from Short-Term PPG Signals
- When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach
- Cross-View Splatter: Feed-Forward View Synthesis with Georeferenced Images
- CAD-Free Learning of Spacecraft Pose Estimators via NeRF-Based Augmentations
- BCI-sift: An automated feature selection toolbox for Brain Computer Interface applications
- K-Quantization and its Impact on Output Performance
- Inferring Sensitive Attributes from Knowledge Graph Embeddings: Attack and Defense Strategies
- Increasing Missingness to Reduce Bias: Richardson-SGD with Missing Data
- The Accessibility Capability Boundary: Operational Limits and Expansion Potential of AI-Generated Browser-Native Accessibility Systems
- P2DNav: Panorama-to-Downview Reasoning for Zero-shot Vision-and-Language Navigation
- optimize_anything: A Universal API for Optimizing any Text Parameter
- EMO-BOOST: Emotion-Augmented Audio-Visual Features for Improved Generalization in Deepfake Detection
- Gaussian Approximation and Multiplier Bootstrap for Federated Linear Stochastic Approximation
- Optimal Reconstruction from Linear Queries
- Component-Aware Structure-Preserving Style Transfer for Satellite Visual Sim2Real Data Construction
- PrAda: Few-Shot Visual Adaptation for Text-Prompted Segmentation
- UniRefiner: Teaching Pre-trained ViTs to Self-Dispose Dross via Contrastive Register
- B'ezier Degradation Modeling for LiDAR-based Human Motion Capture
- MiMuon: Mixed Muon Optimizer with Improved Generalization for Large Models
- A Family of Divergence Measures for Evaluating the Reconstruction Quality of Explainable Ensemble Trees
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- Physics Guided Conditional Diffusion Framework for Generative Inverse Design of Manufacturable Metasurface based Absorbers
- Posterior Contraction of L'evy Adaptive B-spline Regression in Besov Spaces
- Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution
- deadtrees.earth-aerial: A Multi-Resolution Aerial Image Dataset for Tree Cover and Mortality Detection
- A novel YOLO26-MoE optimized by an LLM agent for insulator fault detection considering UAV images
- Physics-Informed Graph Neural Network Surrogates for Turbulent Nanoparticle Dispersion in Dental Clinical Environments
- SceneCode: Executable World Programs for Editable Indoor Scenes with Articulated Objects
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- GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment
- A Data-Driven Approach to Idiomaticity Based on Experts' Criteria in Theoretical Linguistics
- m3BERT: A Modern, Multi-lingual, Matryoshka Bidirectional Encoder
- HiLiftAeroML: A High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics
- Learning-Accelerated Optimization-based Trajectory Planning for Cooperative Aerial-Ground Handover Missions
- TORQ: Two-Level Orthogonal Rotation for MXFP4 Quantization
- Density-Ratio Losses for Post-Hoc Learning to Defer
- EpiDiffVO: Geometry-Aware Epipolar Diffusion for Robust Visual Odometry
- Self-Creative Text-to-Object Generation using Semantic-Aware Spatial Weighting
- AnchorFlow: Learning Anchor Placement for Faithful and Editable SVG Reconstruction
- Provable Fairness Repair for Deep Neural Networks
- Trust It or Not: Evidential Uncertainty for Feed-Forward 3D Reconstruction with Trust3R
- CaptchaMind: Training CAPTCHA Solvers via Reinforcement Learning with Explicit Reasoning Supervision
- The Silent Hyperparameter: Quantifying the Impact of Inference Backends on LLM Reproducibility
- Replacement Learning: Training Neural Networks with Fewer Parameters
- Generative-Evaluative Agreement: A Necessary Validity Criterion for LLM-Enabled Adaptive Assessment
- Dual-Prompt CLIP with Hybrid Visual Encoders for Occluded Person Re-Identification
- iDiff: Interpretable Difference-aware Framework for Pairwise Image Quality Assessment
- Efficient Elicitation of Collective Disagreements
- BLINKG: A Benchmark for LLM-Integrated Knowledge Graph Generation
- Base Models Look Human To AI Detectors
- Position: The Turing-Completeness of Autoregressive Transformers Relies Heavily on Context Management
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- Return of Frustratingly Easy Unsupervised Video Domain Adaptation
- CANINE: Coaching Visually Impaired Users for Interactive Navigation with a Robot Guide Dog
- Thinking in Scales: Accelerating Gigapixel Pathology Image Analysis via Adaptive Continuous Reasoning
- Closed-Loop Hybrid Digital Twin Platform for Connected and Automated Vehicle Validation
- Adynamical systems view of training generativemodels and the memorization phenomenon
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- Implicit Bias of Mirror Flow in Homogeneous Neural Networks: Sparse and Dense Feature Learning
- Generative Auto-Bidding with Unified Modeling and Exploration
- Resilient Byzantine Agreement with Predictions
- Targeted Downstream-Agnostic Attack
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- A Bitter Lesson for Data Filtering
- TIDE: Asymmetric Neural Circuits for Stabilized Temporal Inhibitory-Excitatory Dynamics
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- EmbGen: Teaching with Reassembled Corpora
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- Understanding Dynamics of Adam in Zero-Sum Games: An ODE Approach
- MatPhys: Learning Material-Aware Physics Parameters for Deformable Object Simulation from Videos
- Generative Recursive Reasoning
- Concept-Guided Noisy Negative Suppression for Zero-Shot Classification and Grounding of Chest X-Ray Findings
- Accurate, Efficient, and Explainable Deep Learning Approaches for Environmental Science Problems
- Scalable, Energy-Efficient Optical-Neural Architecture for Multiplexed Deepfake Video Detection
- SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
- Skinned Motion Retargeting with Spatially Adaptive Interaction Guidance
- Next-Acceleration-Scale Prediction for Autoregressive MRI Reconstruction
- CompoSE: Compositional Synthesis and Editing of 3D Shapes via Part-Aware Control
- IMLJD: A Computational Dataset for Indian Matrimonial Litigation Analysis
- What Makes a Representation Good for Single-Cell Perturbation Prediction?
- Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation
- An Exterior Method for Nonnegative Matrix Factorization
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- MMGS: 10× Compressed 3DGS through Optimal Transport Aggregation based on Multi-view Ranking
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- Factor Augmented High-Dimensional SGD
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- Lost in Interpretation: The Plausibility-Faithfulness Trade-off in Cross-Lingual Explanations
- DECOR: Auditing LLM Deception via Information Manipulation Theory
- CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs
- FormalASR: End-to-End Spoken Chinese to Formal Text
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- Quantum Machine Learning for Cyber-Physical Anomaly Detection in Unmanned Aerial Vehicles: A Leakage-Free Evaluation with Proxy-Audited Feature Sets
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