Papers
Thu 28 May 2026
759 papers
- TreeGraft: Adaptive Multi-Drafter Grafting for Tree-Based Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- RAIL Guard: Closing the Evaluation-to-Remediation Gap in Responsible AI for LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent TeamsLLM agents and tool use → General LLM agent frameworks and benchmarks
- DC-Motion: Decoupling Structure and Details via Discrete-Continuous Tokens for Human Motion GenerationDiffusion models → Video generation
- UNIQ: Conformal Calibration for Adaptive Conservatism in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific ResearchLLM agents and tool use → Web, search, and research agents
- The Score Hamiltonian: Mapping Diffusion Models to Adiabatic TransportDiffusion models → Diffusion foundations and sampling
- A Multi-AI-agent Framework Enabling End-to-end Finite Element Analysis for Solid Mechanics ProblemsLLM agents and tool use → Multimodal and embodied agents
- On Effectiveness and Efficiency of Agentic Tool-calling and RL TrainingLLM agents and tool use → Reinforcement learning for LLM agents
- World Models: A Comprehensive Survey of Architectures, Methodologies, Reasoning Paradigms, and ApplicationsWorld models → World models for language agents
- CardioLens: Revealing the Clinical Reality Gap of MLLMs via Multi-Sequence Cardiac MRI EvaluationsMultimodal LLMs / vision-language models → Medical vision-language models
- The Tutoring Effectiveness Index: Predicting LLM Math Tutor Quality from Four Conversation SignalsLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- BOKBO (Best of K Bad Options): Calibrated Abstention for VLA PoliciesLLM reasoning → Reinforcement learning for reasoning +1
- Learning to Perceive the World Through Control: Empowerment-Based Representation LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Counterfactual Graph for Multi-Agent LLM CalibrationLLM agents and tool use → General LLM agent frameworks and benchmarks
- LARK: Learnability-Grounded Trajectory Selection for Efficient Reasoning DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- Convergence of Steepest Descent and Adam under Non-Uniform SmoothnessDeep reinforcement learning methods → RL theory and sample complexity
- Diffusion Models Preferentially Memorize Prototypical Examples or: Why Does My Diffusion Model Love Slop?Diffusion models → Diffusion foundations and sampling
- COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Rationalize: Shared Semantic Reasoning for Human-AI AlignmentLLM reasoning → Reasoning benchmarks and evaluation
- Controllable Lung Nodule Synthesis via Histogram-Regularized Latent Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM AgentsLLM agents and tool use → Software engineering coding agents +1
- Reward Learning from Best-of-N Preference Data: Targets, Tradeoffs, and Design PrinciplesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Audio Pirates: Black-box Audio Watermark Removal via Diffusion PriorsLLM safety and security → Watermarking generated content and models
- ZAPS-DA: Zero-Phase Action Policy Smoothing with Decoupled Actor for Continuous Control in Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity OperationsLLM agents and tool use → Agent threats, guardrails and governance
- AMNESIA: A Large Scale Medical Unlearning Benchmark Suite with Disease-Informed AnalysisLLM safety and security → Machine unlearning
- ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Speculative Decoding and the Curse of MultilingualityEfficient LLM inference and serving → Speculative decoding
- Uncertainty-Aware and Temporally Regulated Expert Advice in Reinforcement Learning for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Probing the Prompt KV Cache: Where It Becomes DispensableEfficient LLM inference and serving → KV cache optimization
- Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM DecodeEfficient LLM inference and serving → Serving systems and request scheduling
- VLM3: Vision Language Models Are Native 3D LearnersMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Seeing Isn't Knowing: Do VLMs Know When Not to Answer Spatial Questions (and Why)?LLM reasoning → Spatial and embodied reasoning +1
- Destruction is a General Strategy to Learn Generation; Diffusion's Strength is to Take it Seriously; Exploration is the FutureDiffusion models → Diffusion and flow policies for robotics
- Physically Viable World Models: A Case for Query-Conditioned Embodied AIWorld models → World models for navigation
- A Theory-Guided LLM Pedagogical Agent for STEM+C Scaffolding Without Over-RelianceLLM agents and tool use → Educational agents and math problem solving
- DisasterLex: An Expert Concept-to-Schema Knowledge Graph for Geospatial Reasoning in Disaster AnalyticsLLM reasoning → Spatial and embodied reasoning
- Strengthening Polymorphic Prompt Assembling: Dynamic Separator Generation Against Emerging Prompt Injection AttacksLLM agents and tool use → Agent threats, guardrails and governance +1
- Measuring, Localizing, and Ablating Alignment Signatures in LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- OmniMem: Scalable and Adaptive Memory Retrieval for Long Video GenerationEfficient LLM inference and serving → Fast autoregressive visual generation
- MAAT: Multi-phase Adapter-Aware Targeted UnlearningLLM safety and security → Machine unlearning
- VLM-GLoc: Vision-Language Model Enhanced Monte Carlo Localization for Robust Semantic Global Localization in Cluttered Quasi-Static EnvironmentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Physics-informed Goal-Conditioned Reinforcement Learning under Hybrid Contact DynamicsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Linear Ensembles Wash Away Watermarks: On the Fragility of Distributional Perturbations in LLMsLLM safety and security → Watermarking generated content and models
- CanLegalRAGBench: Evaluating Retrieval-Augmented Generation on Canadian Case LawRetrieval-augmented generation → Legal and financial RAG
- Configurable Reward Model for Balanced Safety AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic ForecastingMixture-of-experts → MoE for time series and graphs
- ELAN4D: Embodiment-Centric 4D Supervision for Vision-Language-Action Models via Plug-and-Play AdaptationVision-language-action models → 3D and spatial-aware VLA
- Discovering a Zeta Map Algorithm on Dyck Paths via Mechanistic InterpretabilityMechanistic interpretability → Circuits and mechanistic analysis
- idSCD: Identifying Training Datasets through Semantic Correlation DescriptorsLLM safety and security → Machine unlearning
- The Surface You Test Is Not the Surface That BreaksLLM agents and tool use → Agent threats, guardrails and governance
- VeriGate: Verifier-Gated Step-Level Supervision for GRPOLLM reasoning → Reinforcement learning for reasoning
- Bounded Behavioral Indistinguishability for Black-Box LLM DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- LongDS-Bench: On the Failure of Long-Horizon Agentic Data AnalysisLLM agents and tool use → Web, search, and research agents
- DTG-Restore: Training-Free Diffusion Refinement for Generative Video Super-ResolutionDiffusion models → Inverse problems and image restoration
- Domain Adaptation and Reasoning Frameworks in Language Models: A Controlled Experiment with Historical CosmologyLLM reasoning → Reasoning benchmarks and evaluation
- SANA-Streaming: Real-time Streaming Video Editing with Hybrid Diffusion TransformerDiffusion models → Video generation
- Exploring Autonomous Agentic Data Engineering for Model SpecializationLLM agents and tool use → Web, search, and research agents
- Social Reasoning in Machines: Investigating Collective Truth-Seeking Dynamics in Large Language Model DebateLLM reasoning → Reasoning for agents, planning and code
- Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder IdentificationDiffusion models → Medical imaging and segmentation
- Linear Separability of Activation Representations after Supervised Fine-Tuning on Incorrect Responses: A Study of Synthetic Dishonesty in Large Language ModelsMechanistic interpretability → Probing deception, bias and beliefs
- VideoMLA: Low-Rank Latent KV Cache for Minute-Scale Autoregressive Video DiffusionDiffusion models → Video generation +1
- AdaState: Self-Evolving Anchors for Streaming Video GenerationDiffusion models → Video generation
- YoCausal: How Far is Video Generation from World Model? A Causality PerspectiveWorld models → Video-generation world models and simulators +1
- Tiny but Trusted: Efficient Vision-Language Reasoning for Time-Series Anomaly DetectionLLM reasoning → Chain-of-thought reasoning for driving +1
- Unlocking the Working Memory of Large Language Models for Latent ReasoningLLM reasoning → Test-time compute and efficient thinking
- Locally Coherent, Globally Incoherent: Bounding Compositional Incoherence in Multi-Component LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Colored Noise Diffusion SamplingDiffusion models → Diffusion foundations and sampling
- When, why, and how do diffusion posterior samplers fail? A finite-sample lensDiffusion models → Inverse problems and image restoration
- SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones?LLM agents and tool use → Web, search, and research agents
- Reasoning with Sampling: Cutting at Decision PointsLLM reasoning → Test-time compute and efficient thinking
- Veda: Scalable Video Diffusion via Distilled Sparse AttentionDiffusion models → Video generation
- In-Context Reward Adaptation for Robust Preference ModelingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Gram: Assessing sabotage propensities via automated alignment auditingLLM agents and tool use → Agent threats, guardrails and governance
- SpecBench: Evaluating Specification-Level Reasoning for Software Engineering LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- Grounded 3D-Aware Spatial Vision-Language ModelingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- MedCase-Structured: A Text-to-FHIR Dataset for Benchmarking Diagnostic Reasoning in Clinically Realistic EHR SettingsLLM reasoning → Clinical and biomedical applications
- Self-Trained Verification for Training- and Test-Time Self-ImprovementLLM reasoning → Test-time compute and efficient thinking
- Gaze2Act: Gaze-Conditioned Vision-Language-Action Policies for Interactive Robot ManipulationVision-language-action models → Failure recovery and robustness
- Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot EmbodimentsVision-language-action models → Human-video and latent-action pretraining
- Loong: A Human-Like Long Document Translation Agent with Observe-and-Act Adaptive Context SelectionLLM agents and tool use → General LLM agent frameworks and benchmarks
- LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community FeedbackLLM alignment / RLHF / preference optimisation → Medical LLM alignment
- LoMo: Local Modality Substitution for Deeper Vision-Language FusionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- minWM: A Full-Stack Open-Source Framework for Real-Time Interactive Video World ModelsWorld models → Video-generation world models and simulators +1
- Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Same Evidence, Different Answers: Canonical-Context On-Policy Distillation for Multi-Turn Language ModelsKnowledge distillation → On-policy and self-distillation for LLMs
- GenClaw: Code-Driven Agentic Image GenerationLLM agents and tool use → Multimodal and embodied agents
- Knowing What to Solve Before How: Preplan Empowered LLM Mathematical ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- Reinforcement Learning with Robust Rubric RewardsLLM reasoning → Reinforcement learning for reasoning +1
- Beyond 3D VQAs: Injecting 3D Spatial Priors into Vision-Language Models for Enhanced Geometric ReasoningLLM reasoning → Spatial and embodied reasoning +1
- IP-Adapter Is All You Need: Towards Fine-Tuning-Free Diffusion-Based Talking Face GenerationDiffusion models → Audio, speech and music
- Unifying Temporal and Structural Credit Assignment in LLM-Based Multi-Agent Prompt OptimizationLLM reasoning → Reasoning for agents, planning and code +1
- BORA: Bridging Offline Reinforcement Learning and Online Residual Adaptation for Real-World Dexterous VLA ModelsVision-language-action models → Reinforcement learning and post-training +1
- TriSearch: Learning to Optimize Triangulations via Bistellar FlipsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- GRUFF: LLM Pronoun Fidelity, Reasoning, and Biases in GermanLLM reasoning → Reasoning benchmarks and evaluation
- Persona Conditioning of Brand Recommendations in Retrieval-Augmented Commercial Chat: A Prominence-Stratified Cross-Provider AuditRetrieval-augmented generation → RAG pipeline design and evaluation
- A Bayesian Approach to Membership Inference for Statistical ReleaseLLM safety and security → Membership inference attacks
- Mean-Field Diffuser: Scaling Offline MARL to Thousands of AgentsOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral DetectionLLM safety and security → Backdoor and data poisoning attacks
All 759
- LiveSVG: Zero-Shot SVG Animation via Video GenerationDiffusion models → Video generation
- Unveiling the Visual Counting Bottleneck in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Dissociative Identity: Language Model Agents Lack Grounding for Reputation MechanismsLLM agents and tool use → Social simulation and multi-agent debate
- BioRefusalAudit: Auditing Biosecurity Refusal Depth Using General and Domain-Fine-Tuned Sparse AutoencodersMechanistic interpretability → Steering and probing for LLM safety
- Why Far Looks Up: Probing Spatial Representation in Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- On Distributional Reinforcement Learning in Chaotic Dynamical SystemsDeep reinforcement learning methods → RL theory and sample complexity
- Meta-Cognitive Memory Policy Optimization for Long-Horizon LLM AgentsLLM agents and tool use → Agent memory systems
- RL2ML: Finite-Rollout Surrogate Objectives from Reinforcement Learning to Maximum LikelihoodDeep reinforcement learning methods → RL training of language and agent models
- Diffusion Models Are Statistically Optimal for Learning Low-Dimensional Multi-Modal DistributionsDiffusion models → Diffusion foundations and sampling
- Do Proactive Agents Really Need an LLM to Decide When to Wake and What to Anchor?LLM agents and tool use → General LLM agent frameworks and benchmarks
- AgentSchool: An LLM-Powered Multi-Agent Simulation for EducationLLM agents and tool use → Educational agents and math problem solving
- AnomalyAgent: Training-Free Agentic Models for Zero-/Few-Shot Anomaly DetectionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection +1
- Enhancing Multi-Agent Communication through Attention Steering with Context RelevanceLLM agents and tool use → General LLM agent frameworks and benchmarks
- PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language UnderstandingMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- VLA-Trace: Diagnosing Vision-Language-Action Models through Representation and Behavior TracingVision-language-action models → VLA architectures and generalization
- SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion DistillationDiffusion models → Diffusion foundations and sampling
- xModel-KD: Cross-modal Knowledge Distillation for 3D Scene Perception using LiDARKnowledge distillation → Detection and dense prediction distillation
- EvoRepair: Enhancing Vulnerability Repair Agents Through Experience-Based Self-EvolutionLLM agents and tool use → Agent threats, guardrails and governance
- When Cloud Agents Meet Device Agents: Lessons from Hybrid Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Chess-World-Model: A 10M-Game Benchmark for Exact State Tracking from Chess Move SequencesWorld models → World models for language agents
- Geometry Matters: 3D Foundation Priors for Learning Semantic CorrespondenceDiffusion models → 3D, point cloud and scene generation
- DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent EvaluationLLM agents and tool use → Multimodal and embodied agents
- Conformal Certification of Reasoning Trace PrefixesLLM reasoning → Test-time compute and efficient thinking
- Future Forcing: Future-aware Training-free KV Cache Policy for Autoregressive Video GenerationEfficient LLM inference and serving → Fast autoregressive visual generation
- UniSteer: Text-Guided Flow Matching in Activation Space for Versatile LLM SteeringDiffusion models → Discrete and text diffusion
- A Predictive Law for On-Policy Self-Distillation From World FeedbackKnowledge distillation → On-policy and self-distillation for LLMs
- HEART-Bench: Do LLM Agents Exhibit Human-like Psychology?LLM agents and tool use → Social simulation and multi-agent debate
- Sample-Efficient Diffusion-based Reinforcement Learning with Critic GuidanceDiffusion models → Diffusion and flow policies for robotics +1
- REPOT: Recoverable Program-of-Thought via Checkpoint RepairLLM reasoning → Reasoning for agents, planning and code
- Robust and Generalizable Safety Steering for Text-to-Image Diffusion TransformersDiffusion models → Robustness, privacy and adversarial aspects
- Masked Diffusion Modeling for Anomaly DetectionDiffusion models → Flow matching, time series and science
- Learning to Choose: An Empowerment-Guided Multi-Agent System with semantic communication for Adaptive Method SelectionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Domain-Specific Data Synthesis for LLMs via Minimal Sufficient Representation LearningSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing +1
- Audio Jailbreaks in Large Audio-Language Models: Taxonomy, Attack-Defense Analysis, and Cost-Aware EvaluationLLM safety and security → Audio jailbreaks and speech backdoors
- RAISE: RAG Design as an Architecture Search ProblemRetrieval-augmented generation → RAG pipeline design and evaluation +1
- Recovering Diversity Without Losing Alignment: A DPO Recipe for Post-Trained LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- VisualThink-VLA: Visual Intermediate Reasoning for Effective and Low-Latency Vision-Language-Action PoliciesVision-language-action models → Reasoning and chain-of-thought in VLA
- EarlyTom: Early Token Compression Completes Fast Video UnderstandingEfficient LLM inference and serving → Visual token pruning in multimodal models
- KairosAgent: Agentic Time Series Forecasting with Fused Semantic ReasoningLLM reasoning → Time series reasoning +1
- Adapting Multilingual Embedding Models to Turkish via Cross-Lingual Tokenizer Surgery and Offline DistillationRetrieval-augmented generation → Generation and context integration
- EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge DistillationKnowledge distillation → Distillation for medical imaging
- Causal Interventions on Continuous Variables: A Case Study on Verb Bias in Steering Vectors for In-Context LearningMechanistic interpretability → Activation steering methods
- Hijacking Agent Memory: Stealthy Trojan Attacks Through Conversational InteractionLLM agents and tool use → Agent threats, guardrails and governance +1
- Uncertainty Quantification for Multimodal Retrieval Augmented GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- MuPHI: Learning Implicit Multimodal Harm Reasoning via Semantically Grounded Reward OptimizationLLM reasoning → Reasoning for agents, planning and code
- Fisher-Preserving Guidance: Training-Free Manifold Constraints for Safe Diffusion ControlDiffusion models → Diffusion and flow policies for robotics
- Toward AI That Understands Self and Others: A World-Model Theory of Cognitive Diversity and AlignmentWorld models → World models for language agents
- Does The Way You Plan Matter? An Empirical Study of Planning Representations for LLM Web AgentsLLM agents and tool use → Web, search, and research agents
- Midpoint Generative ModelsDiffusion models → Flow matching, time series and science
- Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM AgentsLLM agents and tool use → Software engineering coding agents
- Dissecting the Black Box: Circuit-Level Analysis of LLM Vulnerability DetectionMechanistic interpretability → Steering and probing for LLM safety
- Train the Agent, Not the Expert: Learning to Harness Heterogeneous Experts for Multi-Turn Visual ReasoningLLM reasoning → Multimodal reasoning
- Redundant or Necessary? A Benchmark for Detecting Redundant Steps in Agent TrajectoriesLLM agents and tool use → Software engineering coding agents
- LaRA: Layer-wise Representation Analysis for Detecting Data Contamination in RL Post-TrainingLLM reasoning → Reinforcement learning for reasoning
- CRITIC-R1: Learning Structured Critics for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Mitigating Hallucination in Vision-Language Models through Barrier-Regulated Adaptive Closed-form SteeringMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Evolutionary Dynamics of Cooperation in Next-Generation LLM Agent Systems: A Cross-Provider Empirical ExtensionLLM agents and tool use → Social simulation and multi-agent debate
- Moment-KV: Momentum-Based Decode-Time KV Cache Compression for Long GenerationEfficient LLM inference and serving → KV cache optimization
- Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report GenerationLLM agents and tool use → Web, search, and research agents
- ESPO: Early-Stopping Proximal Policy OptimizationLLM reasoning → Reinforcement learning for reasoning +1
- Masked Diffusion Vision-Language Models for Temporal Action LocalizationMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- EvoRubric: Self-Evolving Rubric-Driven RL for Open-Ended GenerationSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- OmniMatBench: A Human-Calibrated Multimodal Reasoning Benchmark Across 19 Materials Science SubfieldsLLM reasoning → Clinical and biomedical applications
- Towards Localized and Disentangled Knowledge Editing for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Image editing and quality assessment
- Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive SmoothingDiffusion models → Robustness, privacy and adversarial aspects +1
- AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and SecurityLLM agents and tool use → Agent threats, guardrails and governance +1
- SAAS: Self-Aware Reinforcement Learning for Over-Search Mitigation in Agentic SearchLLM agents and tool use → Web, search, and research agents
- SkillsInjector: Dynamic Skill Context Construction for LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- MARS Policy: Multimodality Only When It MattersOffline RL and imitation learning from data → Robot manipulation imitation learning
- Why Specialist Models Still Matter: A Heterogeneous Multi-Agent Paradigm for Medical Artificial IntelligenceLLM agents and tool use → Medical and scientific domain agents
- Multi-Legal-Bench: Evaluating LLMs on Legal Reasoning Across Jurisdictions, Languages, and Legal TraditionsLLM reasoning → Reasoning for agents, planning and code
- Bastion: Budget-Aware Speculative Decoding with Tree-structured Block Diffusion DraftingEfficient LLM inference and serving → Speculative decoding
- SLAD : Shared LoRA Adapters for Task Specific DistillationKnowledge distillation → General knowledge distillation methods
- User-Aware Active Knowledge Acquisition for Emotional Support DialogueLLM reasoning → Audio-language model reasoning
- Leveraging Routing Dynamics in Mixture-of-Experts Models for Efficient Language AdaptationMixture-of-experts → Expert routing strategies
- Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking StrategiesRetrieval-augmented generation → RAG robustness and adaptive retrieval
- PhAIL: A Real-Robot VLA Benchmark and Distributional MethodologyVision-language-action models → Failure recovery and robustness
- RASET: Router-Agnostic Safety-Critical Expert Tuning Exposes Localized Safety Enforcement Failures in Mixture-of-Experts LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
- Domino: Decoupling Causal Modeling from Autoregressive Drafting in Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Beyond Trajectory Rewards: Step-level Credit Assignment for Agentic Search via Graph ModelingLLM agents and tool use → Reinforcement learning for LLM agents
- Reliable Reasoning with Large Language Models via Preference-Based Maximum SatisfiabilityLLM reasoning → Reasoning benchmarks and evaluation
- A Unified Two-Stage Generative Diffusion Framework for Channel Estimation and Port Selection in Multiuser MIMO-FASDiffusion models → Diffusion for compression and wireless
- Notation Matters: A Benchmark Study of Token-Optimized Formats in Agentic AI SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- GRASP: Gated Regression-Aware Skill Proposer for Self-Improving LLM AgentsLLM agents and tool use → Agent skill learning and evolution +1
- Beyond English and Evasion: A Human-Annotated Multi-Domain Benchmark for High-Stakes LLM Safety Evaluation in ChineseLLM safety and security → Safety alignment, refusal and guardrails
- SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action ManipulationVision-language-action models → Efficient VLA inference and adaptation +1
- Opir: Efficient Multi-Task Safety Classification for Toxicity, Jailbreaks, Hate Speech, and Harmful ContentLLM safety and security → Safety alignment, refusal and guardrails
- OccamToken: Efficient VLM Inference with Training-Free and Budget-Adaptive Token PruningMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- TRACE: Toulmin-based Reasoning Assessment through Constructive Elements for LLM CoT EvaluationLLM reasoning → Prompting and chain-of-thought reasoning
- SuperVoxelGPT: Adaptive and Ordered 3D Tokenization for Autoregressive Shape GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- PTCG-Bench: Can LLM Agents Master Pok'emon Trading Card Game?LLM agents and tool use → Reinforcement learning for LLM agents
- Think Fast, Talk Smart: Partitioning Deterministic and Neural Computation for Structured Health Text GenerationLLM reasoning → Clinical and biomedical applications
- Beyond Math and Code: Lightweight Corpus-Grounded Process Rewards for Factual Question AnsweringDeep reinforcement learning methods → RL training of language and agent models
- AgentCVR: Active Multi-Agent Cross-Video Reasoning via Script-Simulated Reinforcement LearningLLM reasoning → Multimodal reasoning +1
- Matching Rates and Optimal Allocation for Federated Probe-Logit Distillation under Heterogeneous Bandwidth BudgetsKnowledge distillation → Federated, robust and private distillation
- Beyond Attack Success Rate: Temporal Logit Observability for LLM Safety FailuresLLM safety and security → Jailbreaking
- DLM-SWAI: Steering Diffusion Language Models Before They UnmaskDiffusion models → Discrete and text diffusion
- Improving Collaborative Storytelling with a Multi-Agent Framework Based on Large Language ModelsLLM agents and tool use → Multimodal and embodied agents
- DiffSpot: Can VLMs Spot Fine-Grained Visual Differences in Web Interfaces?Multimodal LLMs / vision-language models → Chart understanding and anomaly detection
- CONCAT: Consensus- and Confidence-Driven Ad Hoc Teaming for Efficient LLM-Based Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Cluster-Level Attention-Guided Parallel Decoding for Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- HiKEY: Hierarchical Multimodal Retrieval for Open-Domain Document Question AnsweringRetrieval-augmented generation → Multimodal RAG
- VLAConf: Calibrated Task-Success Confidence for Vision-Language-Action ModelsVision-language-action models → Failure recovery and robustness +1
- CogniVerse: Revolutionizing Multi-Modal Retrieval-Augmented Generation with Cognitive Reflection and Geometric ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +2
- Mind-Omni: A Unified Multi-Task Framework for Brain-Vision-Language Modeling via Discrete DiffusionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- World Models in Words: Auditing Physical State-Transition Commitments in Vision-Language ModelsWorld models → World models for language agents +1
- GAPD: Gold-Action Policy Distillation for Agentic Reinforcement Learning in Knowledge Base Question AnsweringLLM agents and tool use → Web, search, and research agents +1
- PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement LearningLLM alignment / RLHF / preference optimisation → Process reward models for reasoning +1
- ReactBench: A Cause-Driven Benchmark for Multimodal Hallucination via Systematic EvaluationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Mitigating State Aliasing in Vision-Language-Action Models via Inverse Dynamics LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- DeepTool: Scaling Interleaved Deliberation in Tool-Integrated Reasoning via Process-Supervised Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code +1
- VE2VF: Vision-Enabled to Vision-Free Distillation via Real-world Reinforcement Learning for Robust Contact-Rich ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- VLA-Pro: Cross-Task Procedural Memory Transfer for Vision-Language-Action ModelsVision-language-action models → Reasoning and chain-of-thought in VLA
- ParaTool: Shifting Tool Representations from Context to ParametersLLM agents and tool use → Tool learning and function calling
- Battery-Sim-Agent: Leveraging LLM-Agent for Inverse Battery Parameter EstimationLLM agents and tool use → Medical and scientific domain agents
- GiPL: Generative augmented iterative Pseudo-Labeling for Cross-Domain Few-Shot Object DetectionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- AsymVLM: Asymmetric Token Pruning for Efficient Vision-Language Model InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- UI-KOBE: Knowledge-Oriented Behavior Exploration for Lightweight Graph-Guided GUI AgentsLLM agents and tool use → GUI and mobile agents
- GUITestScape: Towards Open-set Evaluation on Exploratory GUI TestingLLM agents and tool use → GUI and mobile agents
- K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean FinanceRetrieval-augmented generation → Hallucination detection in RAG
- MINDGAMES: A Live Arena for Evaluating Social and Strategic Reasoning in Multi-Agent LLMsLLM reasoning → Reasoning for agents, planning and code +1
- KGEdit: Ambiguity-Aware Knowledge Graphs for Training-Free Precise Video Generation and EditingDiffusion models → Video generation
- On Asymmetric Optimization of Reasoning and Perception in Vision-Language Model Post-TrainingLLM reasoning → Multimodal reasoning +1
- On-Policy Replay for Continual Supervised Fine-TuningKnowledge distillation → On-policy and self-distillation for LLMs
- The Curse of Helpfulness: Inverse Scaling Law in Robustness to Distractor Instructions via DistractionIFRetrieval-augmented generation → Agentic RAG, agents and memory +1
- V2VCrafter: Consistent Street-View Image Generation Across VehiclesDiffusion models → Diffusion and flow policies for robotics
- Benchmarking Large Vision-Language Models on CFMME: A Comprehensive Chinese Financial Multimodal Evaluation DatasetMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Adaptive Interviewing for Persona Simulation in LLMs: Evidence-Grounded Reasoning Improves Decision AlignmentLLM reasoning → Reasoning benchmarks and evaluation
- A Full-Pipeline Framework for Evaluating Membership Inference Attacks in Machine LearningLLM safety and security → Membership inference attacks
- Recovering Policy-Induced Errors: Benchmarking and Trajectory Synthesis for Robust GUI AgentsLLM agents and tool use → GUI and mobile agents
- How Coding Agents Fail Their Users: A Large-Scale Analysis of Developer-Agent Misalignment in 20,574 Real-World SessionsLLM agents and tool use → Software engineering coding agents
- SkillBrew: Multi-Objective Curation of Skill Banks for LLM AgentsRetrieval-augmented generation → Agentic RAG, agents and memory +1
- ElegantVLA: Learning When to Think for Efficient Vision-Language-Action ModelsLLM reasoning → Spatial and embodied reasoning +1
- AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text ParaphrasingLLM safety and security → Watermarking generated content and models
- Towards Human-Like Interactive Speech Recognition With Agentic Correction and Semantic EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- ReasonLight: A Multimodal Foundation Model-Enhanced Reinforcement Learning Framework for Zero-Shot Traffic Signal ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- 3DVLA: Enhancing Vision-Language-Action Models via 3D Spatial and Instance UnderstandingVision-language-action models → 3D and spatial-aware VLA
- Phase-Conditioned Imitation Learning with Autonomous Failure Recovery for Robust Deformable Object ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Information-Directed Offline-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Semantic and Visual Evidence for Efficient Long-Video Reasoning: A Solution for the HD-EPIC VQA ChallengeLLM reasoning → Multimodal reasoning +1
- Rethinking Post-Training Recipes for Multimodal Time-Series ForecastingLLM reasoning → Time series reasoning
- GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Revisiting Observation Reduction for Web Agents: Comprehensive Evaluation with a Lightweight FrameworkLLM agents and tool use → Web, search, and research agents
- Aligned but Fragile: Enhancing LLM Safety Robustness via Zeroth-Order OptimizationLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- EvoMD-LLM: Learning the Language of Species Evolution in Reactive Molecular DynamicsLLM reasoning → Clinical and biomedical applications
- SURGENT: A Surgical Multi-Agent Assistance System Across the Perioperative WorkflowLLM agents and tool use → Medical and scientific domain agents
- MiraBench: Evaluating Action-Conditioned Reliability in Robotic World ModelsWorld models → Embodied and robot world models
- Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 SonnetMechanistic interpretability → SAE features and their applications
- Harmless Yet Harmful: Neutral Prompting Attacks for Stealthy Hallucination Steering in Agent SkillsLLM agents and tool use → Agent threats, guardrails and governance
- ConMoE: Expert-Pool Consolidation via Prototype Reassignment for MoE CompressionMixture-of-experts → MoE large language models
- Draft-OPD: On-Policy Distillation for Speculative Draft ModelsEfficient LLM inference and serving → Speculative decoding +1
- WorldMemArena: Evaluating Multimodal Agent Memory Through Action-World InteractionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- DMC-CF: Dynamic Multimodal CounterFactual QA benchmark for Causal ReasoningLLM reasoning → Multimodal reasoning +1
- Reasoning-preserved Efficient Distillation of Large Language Models via Activation-aware InitializationLLM reasoning → Test-time compute and efficient thinking
- STAMP: Training Explicit Memory for Mobile GUI Agents in Controllable and Scalable Virtual EnvironmentsLLM agents and tool use → GUI and mobile agents
- Rethinking Stepwise Model Routing: A Cost-Efficient Table Reasoning PerspectiveLLM reasoning → Test-time compute and efficient thinking
- PatchBoard: Schema-Grounded State Mutation for Reliable and Auditable LLM Multi-Agent CollaborationLLM agents and tool use → Software engineering coding agents
- Rubric-Guided Process Reward for Stepwise Model RoutingLLM reasoning → Reinforcement learning for reasoning +1
- GrepSeek: Training Search Agents for Direct Corpus InteractionLLM agents and tool use → Web, search, and research agents
- Pocket-Dentist: On-Device Dental Image Understanding via Efficient Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- LLM-ALSO: LLM-Driven Adaptive Learning-Signal Optimization for Multi-Agent Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Diagnosing Harmful Continuation in Answer-Correct Long-CoT Training TracesLLM reasoning → Test-time compute and efficient thinking
- LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for RecommendationKnowledge distillation → Distillation for recommender systems
- Code-QA-Bench: Separating Code Reasoning from Documentation Memorization in Repository-Level QALLM reasoning → Reasoning for agents, planning and code
- Prompt-Level Reward Specifications for Open-Ended Post-TrainingLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- CoHyDE: Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool RetrievalLLM agents and tool use → Tool learning and function calling
- Indexing the Unreadable: LLM-Native Recursive Construction and Search of Service TaxonomiesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Compute Allocation for Self-Evolving LLMs: From Depth-Breadth to Multi-Armed BanditsSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic SchedulingLLM reasoning → Reasoning for agents, planning and code +1
- DynSess: Dynamic Session-Level Evaluation and Optimization Framework for Role-Playing AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Provably Secure Agent GuardrailLLM agents and tool use → Agent threats, guardrails and governance +1
- DenseSteer: Steering Small Language Models towards Dense Math ReasoningLLM reasoning → Mathematical reasoning
- Implicit Identity Technologies for LLMs: Fingerprinting and Watermarking across Datasets, Models, and Generated ContentLLM safety and security → Watermarking generated content and models
- Evolving Skill-Structured Attack Memory Enhances LLM JailbreakingLLM safety and security → Jailbreaking
- Rethinking Literature Search Evaluation: Deep Research Helps, and Human Citation Lists Are Not a Ground TruthLLM reasoning → Knowledge- and tool-augmented reasoning
- BlockBatch: Multi-Scale Consensus Decoding for Efficient Diffusion Language Model InferenceDiffusion models → Discrete and text diffusion +1
- Tailoring the Curriculum: Student-Centered Reasoning Distillation via Dynamic Data-Model CompatibilityLLM reasoning → Prompting and chain-of-thought reasoning +1
- BenchTrace: A Benchmark for Testing Reflection Ability and Controlled Evolution in LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Relevance as a Vulnerability: How Web Retrieval Degrades Safety Alignment in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +2
- GTA: Generating Long-Horizon Tasks for Web Agents at ScaleLLM agents and tool use → Web, search, and research agents
- Auditing Training Data in Generative Music Models via Black-Box Membership InferenceLLM safety and security → Membership inference attacks
- Guidance Contrastive Token Credit Assignment for Discrete Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- ReasonOps: Operator Segmentation for LLM Reasoning TracesLLM reasoning → Reasoning benchmarks and evaluation
- When RL Suppresses Its Own Vocabulary: Recovering Reasoning Diversity in Puzzle-to-Math TransferLLM reasoning → Reinforcement learning for reasoning
- PICasso: An AI-Enabled Design Framework for Autonomous Optimization of Silicon Photonic Devices
- Position: AI Lock-In Is in Progress, and We Must Be Prepared
- Designing for Ethical AI: HCI Feature Considerations to Improve Fairness and User Experience in AutoML use for Human Resources
- Seeing Differently: Modeling Interpretive Perspectives in Computational Creativity using a Four-World Framework
- Do Models Fake Alignment Without Clear Consequences?
- Efficient multidisciplinary design via Bayesian optimization
- Position: Every Ground Truth is a Human Construction, not an Objective Truth
- Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory
- Privacy-Aware Agent Collaboration for Dynamic VR Slice Management in 6G SD-RAN
- Context-Aware Prediction of Student Quiz Performance with Multimodal Textbook Features
- FP8 is All You Need (Part 2): Full-FP64 3-D FFT on FP8-Generation Tensor CoresThe Integer-Epilogue Wall and the Minimal Hardware That Would Remove It
- Design Principles for Human-Agent Interaction
- AI for Maritime Security: Comparative Evaluation of CNN and Vision Transformer Architectures for Maritime Object Detection
- CFCamo: A Counterfactual Detect-or-Abstain Framework for Camouflaged Object Detection
- Support sufficiency as action-sufficient compression: a single-cycle rate-regret formulation
- Syll: Open-Source Personal Automation with Cross-Surface Execution
- A Mechanistic Analysis of Adversarial Fine-tuning of Vision Transformers
- SlideCheck: Guiding Self-Supervised Pretraining of Pathology Foundation Models via Dataset Distributions
- Optimality of Sequential Filtering Under Independent Cost and Selectivity Models
- FP8 is All You Need (Part 1): Debunking Hardware FP64 as the HPC Holy Grail (Sep 3rd version)
- Geodesics with Unified Tangent-constrained Priors and Curvature Regularization
- Advances in Neural 3D Mesh Texturing: A Survey
- Generative AI and Digital Ecosystem Resilience: A Proactive Lifecycle-Based Survey
- XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT
- Foundation-Preserving Optimization in Generalized Eigenspace
- AI-PROPELLER: Warehouse-Scale Interprocedural Code Layout Optimization with AlphaEvolve
- Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Parameter Compression of Deep Neural Networks
- A Shared Valence Axis Across Modern LLMs and Human EEG: The Saturation Regularity
- Multimodal Music Recommendation System using LLMs
- Positional Encodings Anchor Spatial Structure in Vision Transformers: A Geometric Perspective on Robustness
- Versatile Framework with Semantic and Structural guidance for Image Reconstruction from Brain Activity
- SpikeWFM: Spiking-Aided Wireless Foundation Model for Robust Channel Prediction
- V2I Work Zone Geometry Reconstruction with Pose-Conditioned UWB Range Denoising
- Automatically Attacking Software Reverse Engineering AI Agents
- Structure-Induced Information for Rerooting Levin Tree Search
- Spatio-temporal stochastic graph-based learning for infectious disease forecasting
- EUDAIMONIA: Evaluating Undesirable Dynamics in AI
- Bridging the Gap Between Natural Language and Market Dynamics via High-Dimensional Representation Learning
- Same Patient, Different Words, Different Diagnosis? Evaluating Semantic Stability in Clinical LLMs
- CSULoRA: Closest Safe Update Low-Rank Adaptation
- PInVerify: An Offline Embodied Benchmark for Active Instance Verification
- Score Broadcast and Decorrelation: A General Framework for Broadcast-Based Credit Assignment
- EHRBench: An Automated and Reliable EHR-based Benchmark for Clinical Decision Making with LLMs
- CellBRIDGE: Learning Cellular Trajectories via Interaction-Aware Alignment
- The Architecture of Errors: From Universal Impossibility to Patch-Local LLM Reliability
- Active Timepoint Selection for Learning Measure-Valued Trajectories
- Jamming-Resilient PRB Reservation for Latency-Critical O-RAN Network Slicing
- Improving Selective Classification with Pairwise Queries for Binary Classification
- CacheProbe: Auditing Prompt Cache Isolation in Gateway APIs
- Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs
- Constrained Flow Optimization via Sequential Fine Tuning for Molecular Design
- Semantic Motion Anchors: Bridging Motion and Meaning in Co-Speech Gestures
- Learning effective Sargassum transport dynamics from limited drifter observations
- TASER: Task-Aware Stein Regularisation for Geometry-Driven Robustness
- The Fast Mixing Mechanism for Differential Privacy
- ScaleMAP: Preserving Local Density and Neighborhood Structure in Low-Dimensional Embeddings
- Improving Relative Representations with Learned Anchors and Whitened Inner Products
- Scientific Machine Learning for Engine Health Management and Remaining Useful Life Prediction
- Learning Transferable Predictability Representations
- Counterfactual Evaluation Reveals Hidden Capability Profiles in Clinical LLMs and Agents
- ImmigrationQA: A Source-Grounded Dataset and Small-Model Adaptation for U.S. Immigration Law
- Benchmarking Machine Learning Uncertainty Quantification Methodologies for Predicting Turbine Gas Temperature Degradation
- AI for Monitoring and Classifying Data Used in Research Literature
- Prior Availability in Industrial Visual Sim-to-Real: A Review of CAD-Guided and CAD-Unavailable Regimes
- AdvScene: Rethinking Adversarial Patch Evaluation Through Scene Robustness
- Zeroth-Order Non-Log-Concave Sampling with Variance Reduction and Applications to Inverse Problems
- Procedural Generation of First Person Shooter Maps using Map-Elites
- Generating and Refining Dynamic Evaluation Rubrics for LLM-as-a-Judge
- Transforming and Encoding FTS for SAT Solving: What Helps, What Hurts (Extended Version)
- Supervised Training Rapidly Degrades Early Visual Cortex Alignment Across Biologically Plausible Learning Rules
- Early Prediction of Future Behavioral Strategy from Process Traces
- Refining Word-Based Grammatical Error Annotation for L2 Korean
- On-Device Generative AI for GDPR-Compliant Visual Monitoring: Natural Language Alerts from Local Object Detection
- SubsurfaceGen: Procedural Generation of Field-Scale Earth Models and Seismic Data
- The Long-Term Effects of Data Selection in LLM Fine-Tuning
- True Self-Avoiding Walk for Accelerating Markov-Chain Monte Carlo Integration
- Generalistic or Specific Embeddings, Which is Better? An Empirical Study on Search for Clinical Coding in Non-English Languages
- Representation Collapse in Sequential Post-Training of Large Language Models
- Revisiting Padded Transformer Expressivity: Which Architectural Choices Matter and Which Don't
- Evaluating using Mock Tool Calls to Quarantine Untrusted Prompt Inputs
- Benchmark of Likelihood-Free Inference Methods based on Neural and Optimal Transport Approaches
- PhyDrawGen: Physically Grounded Diagram Generation from Natural Language
- A Novel Global Context-aware Deep Neural Network for Enhanced Brain Tumor Segmentation using Magnetic Resonance Images
- Improved Distribution Estimation in ℓ_∞
- Auditing LLM Benchmarks with Item Response Theory
- When English Rewrites Local Knowledge: Global Narrative Dominance in Large Language Models
- Universal Multiclass Transductive Online Learning
- Improving Small Language Models for Code Generation with Reinforcement Learning from Verification Feedback
- Local Differential Privacy with Correlated Noise Achieves Central-DP Optimal Cost
- Your Multimodal Speech Model Says I Have a Face for Radio
- Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks?
- 3DAE: Binaural Quality Assessment for Audio Novel View Synthesis with Spatial Maps and Benchmark
- Clustering Guided Domain-Specific Pretrained Foundation Model for Very High-Resolution Arctic Remote Sensing
- Knowledge Graph-Enhanced Zero-Shot Topic Classification: A Multi-Strategy Comparative Study
- Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Separable Dynamics
- Can LLM Teams Play What? Where? When?
- Extracting accent features in spoken Brazilian Portuguese without sociolinguistic labels
- DisjunctiveNet: Neural Symbolic Learning via Differentiable Convexified Optimization Layers
- Generative Models and Statistical Validation
- A Unified Framework for Gradient Aggregation in Multi-Objective Optimization
- Calibrated Preference Learning: The Case of Label Ranking
- Dex2HOI: Dexterous Bimanual Two-Object Interaction Generation
- Cross-Lingual Steering for Figurative Language Generation
- Mitigating Content Shift and Hallucination in GenAI Image Editing via Structural Refinement
- Learning effective models from network dynamics data with multiple initial conditions using weak form SINDy
- Attention-based optimizer for symmetry finding
- AI Loss of Control Incident Management: Response & Resilience
- Protocol for evaluating ChatGPT in biomedical association generation and verification using a RAG-enabled, cross-model majority voting workflow
- A Novel Computer Vision Approach for Assessing Fish Responses to Intrusive Objects in Aquaculture
- Smaller and Faster 3DGS via Post-Training Dictionary Learning
- CodeGolf Bench: A Multi-Language Benchmark for Evaluating Concise Code Generation Capabilities of Large Language Models
- NumLeak: Public Numeric Benchmarks as Latent Labels in Foundation Models
- The Inclusion Depth of Pattern Languages: An Open Problem in Algorithmic Learning Theory
- A Novel Evaluation Metric for Unsupervised Learning in AIS-Based Maritime Anomaly Detection: MADQI
- LLMs Without Deep Neural Networks: New Architecture, Benefits and Case Study
- Structured interactions improve distributed coordination beyond model scaling in a real-world multi-robot system
- Physics Is All You Need? A Case Study in Physicist-Supervised AI Development of Scientific Software
- GMOS: Grounding Moving Object Segmentation in 3D Space and Time
- DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation
- LLMSurgeon: Diagnosing Data Mixture of Large Language Models
- NeuROK: Generative 4D Neural Object Kinematics
- SchGen: PCB Schematic Generation with Semantic-Grounded Code Representations
- Uncertainty-driven 3D Gaussian Splatting Active Mapping via Anisotropic Visibility Field
- GPIC: A Giant Permissive Image Corpus for Visual Generation
- Benchmarking Single-Factor Physical Video-to-Audio Generation
- REST3D: Reconstructing Physically Stable 3D Scenes from a Single Image
- Efficient Test-Time Finetuning of LLMs via Convex Reconstruction and Gradient Caching
- Fairness-Aware Federated Learning with Trajectory Shapley Value
- Demystifying Data Organization for Enhanced LLM Training
- COMPOSE: Composing Future Theorems from Citations and Formal Structure
- Supercharging Thermal Gaussian Splatting with Depth Estimation
- RoboWits: Unexpected Challenges for Robotic Creative Problem Solving
- On Language Generation in the Limit with Bounded Memory
- MonoPhysics: Estimating Geometry, Appearance, and Physical Parameters from Monocular Videos
- Improved Guarantees for Heterogeneous Treatment-Effect Estimation via Matrix Completion
- Before the Shutter: Aesthetic and Actionable Portrait Photography Planning in 3D Scenes
- VPG: Visual Prefix Guidance for Autoregressive Image and Video Generation
- Resolution Diagnostics for Paired LLM Evaluation
- Archon: A Unified Multimodal Model for Holistic Digital Human Generation
- City-Mesh3R: Simulation-Ready City-Scale 3D Mesh Reconstruction from Multi-View Images
- Leave a Window Out: Modifying the Jackknife for Predictive Inference in Time Series
- Statistical Embeddings for Similarity, Retrieval, and Interpretable Alignment of Numeric Tabular Datasets
- MIRA: Mid-training Rubric Anchoring for Source-Aware Data Selection
- ProjectionBench: Evaluating Scientific Hypothesis Generation in LLMs Under Progressive Information Disclosure
- mcp-proto-okn: Natural-language access to open scientific knowledge graphs through the Model Context Protocol
- Neural Operator-Based Surrogate Model for CFD:Helical Coil Steam Generator in Small Modular Reactor
- Digitally enriching a high-risk population for pancreatic cancer using routine blood-based measures and clinical histories
- Boosting Image Quality Assessment Performance: Unsupervised Score Fusion by Deep Maximum a Posteriori Estimation
- PhyGenHOI: Physically-Aware 4D Generation of Dynamic Human-Object Interactions
- How LoRA Remembers? A Parametric Memory Law for LLM Finetuning
- VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents
- Wasserstein Contraction of Coordinate Ascent Variational Inference
- Ambient-robust Inverse Rendering using Active RGB-NIR Imaging
- OOD-GraphLLM: Graph Large Language Model for Out-of-Distribution Generalized Drug Synergy Prediction
- CommunityFact: A Dynamic, Multilingual, Multi-domain Benchmark for Misinformation Detection in the Wild
- CA-World: Multi-Object Counterfactual Alignment for Efficient Interactive-Ready Reconstruction
- GRASP: Plan-Guided Graph Retrieval with Adaptive Fusion and Reranking on Semi-Structured Knowledge Bases
- BullingerDB: A Dataset for Handwritten Text Recognition and Writer Retrieval
- Do Language Models Track Entities Across State Changes?
- How's it going? Reinforcement learning in language models recruits a functional welfare axis
- Anti Mode-Collapse in Mean-Field Transformer via Auxiliary Variables
- ExDBSCAN: Explaining DBSCAN with Counterfactual Reasoning -- Additional Material
- When Should Models Change Their Minds? Contextual Belief Management in Large Language Models
- MarginGate: Sparse Margin-Triggered Verification for Batch-Invariant LLM Inference
- D'ej`a View: Looping Transformers for Multi-View 3D Reconstruction
- Faithful Embeddings of Irregular and Asynchronous Data for Online Log-NCDEs
- Cycle Consistency in Video Object-Centric Learning
- Automating Low-Risk Code Review at Meta: RADAR, Risk Calibration, and Review Efficiency
- A Dual-Path Architecture for Scaling Compute and Capacity in LLMs
- HPO: Hysteretic Policy Optimization for Stable and Efficient Training under Sparse-Reward Regime
- Double-Edged Sword or Sharp Tool? Designing and Evaluating Triadic LLM-Teacher Collaboration for K-12 Writing at Scale
- Active Continual Learning with Metaplastic Binary Bayesian Neural Networks
- What drives performance in molecular MPNNs? An operator-level factorial benchmark
- CalArena: A Large-Scale Post-Hoc Calibration Benchmark
- Modularizing Educational LLM-Agency for Fostering Responsible Learning Assistance
- Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts
- iLoRA: Bayesian Low-Rank Adaptation with Latent Interaction Graphs for Microbiome Diagnosis
- A new completely parameter-free clustering algorithm for unsupervised classification of BATSE gamma-ray bursts
- OmniCD: A Foundational Framework for Remote Sensing Image Change Detection Guided by Multimodal Semantics
- Visual Spatial Learning: Single-Field Spatial Interpolation Using Convolutional Neural Networks
- SAHG: Sector-Anisotropic Hyperbolic Graph Model for Social Bot Detection
- Neural Network Verification using Partial Multi-Neuron Relaxation
- Temporal Stability and Few-Shot Prompting in Math Task Assessment
- Anchorless Diversification for Parallel LLM Ideation
- Overcoming Forgetting in LLM Fine-Tuning with Evolution Strategies
- DAMEL: Dual-Axis Multi-Expert Learning for Class-Imbalanced Learning
- CorPipe at CRAC 2026: Empty Nodes and Cross-Lingual Transfer in Multilingual Coreference Resolution
- Learning to Extrapolate to New Tasks: A Relational Approach to Task Extrapolation
- CCS: Clinical Consensus Selection for Radiology Report Generation
- Privacy-Enhanced Zero-Order Federated Learning via xMK-CKKS over Wireless Channels
- Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regression
- No More K-means: Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval
- Evolving Features vs Evolving Entire Trees with GP for Interpretable Survival Analysis
- Large Depth Completion Model from Sparse Observations
- Striding Across Reynolds Numbers: Representation Geometry in Neural PDE Generalisation
- Dial HEALTHDIAL for Advice: A Multilingual and Multi-Parallel Spoken Dialogue Dataset for Knowledge-Grounded Information Seeking
- SEAL: Can Saturated Benchmarks Be Revived by LLM-as-a-Meta-Judge?
- Convergence Theory for Iterative LLM-Based Neural Architecture Search: A Parametric Cross-Entropy Framework with Closed-Form Proxy Reliability
- Evaluation of Conversational Agents: Understanding Culture, Context and Environment in Emotion Detection
- How Reliable Are AI Attackers Against a Fixed Vulnerable Target? A 400-Run Empirical Study of LLM Penetration Testing Consistency
- PokerSkill: LLMs Can Play Expert-Level Poker without Training or Solvers
- Distributionally Robust Set Representation Learning Under Inference-Time Element Corruption
- Selective QA over Conflicting Multi-Source Personal Memory: A Diagnostic Testbed and Method Comparison
- Adaptive Targeted Dynamic Chunking for Tokenization-Free Hierarchical Model
- Q-ANCHOR: Federated Quantum Learning with ZNE-guided Correction
- Native Audio-Visual Alignment for Generation
- Boosting Zero-Shot 3D Style Transfer with 2D Pre-trained Priors
- FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection
- Towards Consistent Video Geometry Estimation
- Ridge Regression from Poisson Resetting: A Renewal Perspective on Spectral Regularization
- Projectional Decoding: Towards Semantic-Aware LLM Generation
- Who Am I? History-Aware Profiles for Student Simulation in Tutoring Dialogues
- DualEraser: Joint Video Object and Effect Removal via Balanced Text-Mask Guidance and Decoupled Locator-Preserver
- Token Inflation: How Dishonest Providers Can Overcharge for Large Language Model Usage
- Teaching Values to Machines: Simulating Human-Like Behavior in LLMs
- DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark
- Give it Space! Explicit Disentangling of Positional and Semantic Representations in Encoders
- Latent Performance Profiling of Large Language Models
- Test Time Training for Supervised Causal Learning
- From GPS Points to Travel Patterns: Flexible and Semantic Trajectory Generation with LLMs
- Discovering Cooperative Pipelines: Autoresearch for Sequential Social Dilemmas
- Cookie-Bench: Continuous On-screen Key Interaction Evaluation for Web Generation
- FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views
- MIC: Maximizing Informational Capacity in Adaptive Representations via Isotropic Subspace Alignment
- Accelerating Constrained Decoding with Token Space Compression
- Improving Adversarial Robustness of Attribution via Implicit Regularization
- Genetically Aligned Patient Representations Improve Hematological Diagnosis
- Fingerprinting Inference Systems of Large Language Models
- Evaluating Skill and Stability of ArchesWeather and ArchesWeatherGen under Multi-Decadal Climate Simulations
- A Fully Convolutional Approach to Denoising 2D Correlation Spectra
- Compass: Navigating Global Marine Lead Data Integration through Expert-Guided LLM Agent
- Meta-Programming for Linear-time Temporal Answer Set Programming
- Honeyval: A Comprehensive Evaluation Framework for LLM-powered HTTP Honeypots
- Formalizing Mathematics at Scale
- SwInception -- Local Attention Meets Convolutions
- Mesh-Aware Epipolar Matching for Multi-View Multi-Person 3D Pose Estimation in Basketball
- From Short Histories to Long Futures: Horizon-Aware Graph Neural Networks for Long Horizon Forecasting
- HoliTok: A Continuous Holistic Tokenization with Robust Dual Capabilities of Speech Generation and Understanding
- A Domain-Informed Multi-Objective Framework for EEG Channel Selection in Motor Imagery BCIs
- TraceCodec: A Compiler-Backed Neural Codec for Network Traffic Traces
- Make LLM Learn to Synthesize from Streaming Experiences through Feedback
- CRB-Guided Framework Design and Resource Allocation for Indoor mmWave ISCC Systems
- CityGen: Structure-Guided City-Style Synthesis for Cross-City Autonomous Driving
- CLUBench: A Clustering Benchmark
- Treatment-Conditioned Diffusion for Forecasting Neurodegenerative Disease Progression
- It`s All About Speed: AI`s Impact on Workflow in Music Production
- Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs
- A Triple-Modal Contrastive Learning Framework with Sequence, Graph, and 3D Features for Drug-Target Interaction Prediction
- On the Geometry of Games and their Solvers
- Selection Hyper-heuristics Can Automatically Adjust the Learning Period to Optimally Solve Pseudo-Boolean Problems
- Gesture-Aware Indoor THz ISAC Systems for Adaptive Resource Allocation
- Reducing Experimental Testing in Space Propulsion Film Cooling Analyses by Pixelwise Generative Image Interpolation
- Joint Model and Data Sparsification via the Marginal Likelihood
- Plan, Don't Pose: Long Composite Motion Generation with Text-Aligned BFM
- OVA-IB: One vs All Information Bottleneck for Multi-Modal Alignment
- ExCAM: Explainable Cultural Awareness Metrics
- DVSM: Decoder-only View Synthesis Model Done Right
- Where Do Apparent LLM Clinical Triage Failures Arise? Localizing the Multiple-Choice Format Effect
- Open Problem: Separating Geometric and Algorithmic Compression via Cayley-Table Completion
- DGSG-Mind: Dynamic 3D Gaussian Scene Graphs for Long-Term Scene Understanding and Grounding
- Ciphera: A Decentralised Biometric Identity Framework
- STAP: A Shuffle-Tokenized App Predictor with Ultra Long Context for Vocabulary-Free Mobile App Prediction
- Mitigating Stethoscope-Induced Shortcuts in Respiratory Sound Classification under Federated Domain Generalization with Causality-Inspired Interventions
- MELD: Mel-Spectrogram-Based Speech Language Modeling with Discrete Latent Variables
- Feedback-to-Rubrics: Can We Learn Expert Criteria from Inline Comments?
- Building and Road Recognition in Dense Urban Informal Settlements: A Dataset and Benchmark
- Parameter-Efficient Subspace Decoupling ViT for Mitigating Multi-Task Negative Transfer in Histological Scoring
- MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encoding
- BuilDyn: Excitation-Driven Data Generation for Building Thermal Dynamics Modeling and Control
- HARP: Hadamard-Preconditioned Adaptive Rotation Processor for Extreme LLM Quantization
- The Topological Stability Index: A Variance-Based Measure for Persistence Barcodes
- CB-SLICE: Concept-Based Interpretable Error Slice Discovery
- Open World Autoencoding Drift Detection with Novel Class Recognition in Tabular Non-stationary Data Streams
- OptSkills: Learning Generalizable Optimization Skills from Problem Archetypes via Cluster-Based Distillation
- When Do Graph Foundation Models Transfer? A Data-Centric Theory
- Fairness Beyond Demographics: Optimizing Performance Across Appearance-Based Hidden Cohorts in Medical Imaging
- Quantifying and Optimizing Simplicity via Polynomial Representations
- Inferring Code Correctness from Specification
- The Interplay Between Interpolation and Aggregation in Regression: Optimal Sample Complexity
- Harnessing non-adversarial robustness in large language models
- PRAIB: Peer Review AI Benchmark of Behaviour of LLM-Assisted Reviewing
- Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval Using Language
- Data filtering methods for training language models
- Gated Graph Attention Networks with Learnable Temperature
- Nine Judges, Two Effective Votes: Correlated Errors Undermine LLM Evaluation Panels
- Low-Magnification SEM May Suffice: Interpretable Deep Learning for Multi-Scale Fracture-Cause Classification in Zirconia-Toughened Alumina
- Metric-Dependent Annotation Saturation for Learning from Label Distributions
- MEMENTO: Leveraging Web as a Learning Signal for Low-Data Domains
- Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language
- ActTraitBench: Quantifying the Knowledge-Decision Gap in Large Language Models via Human-Grounded Behavioral Validation
- Certified Policy Optimisation for Nested Causal Bandits via PAC-Bayes Risk
- Croissant Tasks: A Metadata Format for Reproducible Machine Learning Evaluations
- Hista and Numca: Estimate State Value Effectively for LLM Reinforcement Learning
- Energy-Aware NECO for Single-Pass Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
- From XXLTraffic to EvoXXLTraffic: Scaling Traffic Forecasting to Sensor-Evolving Networks
- MMTM: Tri-Modal Topic Modeling for Long-Form Video via Similarity-Gated Fusion
- GeoMag: Geometric-Aware Video Motion Magnification via State Space Model
- S2MDF: A Plug-And-Play Layer for Intersection-Free Multi-Object Signed Distance Fields
- LFQ: Logit-aware Final-block Quantization for Boosting the Generation Quality of Low-Bit Quantized LLMs
- Benchmarking Positional Encoding Strategies for Transformer-Based EEG Foundation Models
- A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging
- DySem: Uncovering Dynamic Semantic Components of Large Language Models for Calculating Semantic Textual Similarity
- Instance-dependent Stochastic Lipschitz bandit
- Citation-Closure Retrieval and Per-Rule Attribution for Real-World Regulatory Compliance Question Answering
- AfriScience-MT: Towards Decolonizing Science in Africa through Text Translation
- Minimal Prompt Perturbations Lead to Code Vulnerabilities: Prompt Fragility and Hidden-State Signals in Coding LLMs
- HTAM: Hierarchical Transition-Attended Memory for Operator Optimization
- Uncertainty-Aware Transfer Learning for Cross-Building Energy Forecasting: Toward Robust and Scalable District-Level Energy Management
- EMAG: Differentiable 4D Gaussian Mixture Splatting for EEG Spatial Super-Resolution
- Realistic honeypot evaluations for scheming propensity
- Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets
- NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs
- The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer
- Personalized Turn-Level User Conversation Satisfaction Benchmark
- BitTP: The Lightweight Trajectory Prediction Model with BitLLM for Edge-Devices
- Subcortical Shape Variations and Their Associations with Cognition Across the 8th Decade of Life. A Study in the Lothian Birth Cohort 1936
- A Systematic Evaluation of Molecular Mixture Behavior Prediction
- FHRFormer: A Self-Supervised Masked Transformer Framework for Fetal Heart Rate Time-Series Inpainting and Forecasting
- Momentum Based Reward Design for Low Emission Traffic Signal Control
- Unsupervised Semantic Segmentation Facilitates Model Understanding
- A Novel Tensor Product-Based Neural Network for Solving Partial Differential Equations
- NICE: A Theory-Grounded Diagnostic Benchmark for Social Intelligence of LLMs
- Kernel Renormalization in Bayesian Deep Neural Networks: the Equivalent Wishart Ansatz in the Proportional Regime
- Scaling Laws for Agent Harnesses via Effective Feedback Compute
- Spurious Prompts: Can Irrelevant Prompts Steer Large Language Models?
- From Prompts to Context: An Ontology-Driven Framework for Human-Generative AI Collaboration
- A Geometric View of SRC: Learning Representations for Stable Residual Inference
- EviLink: Multi-Path Schema Linking with Uncertainty-Guided Evidence Acquisition for Large-Scale Text-to-SQL
- Eigen-Spike Emergence and Quadratic Equivalents for Conjugate Kernels on Nonlinearly Separable Data
- AMDP: Asynchronous Multi-Directional Pipeline Parallelism for Large-Scale Models Training
- Geometry-Guided Modeling of Foundation Features Enables Generalizable Object Shape Deformation Learning
- LLM-Evolved Domain-Independent Heuristics for Symbolic AI Planning
- MARTIAN: A Rendering Framework for Aerial Mars Imagery from HiRISE Orbital Data
- The Sample Complexity of Multiclass and Sparse Contextual Bandits
- VikingMem: A Memory Base Management System for Stateful LLM-based Applications
- Classification of non-analyzable word types in web documents to implement an effective Korean e-learning system
- Evaluating Cross-lingual Knowledge Consistency in Code-Mixed vis-a-vis Indian Languages using IndicKLAR
- MoSSP: A Momentum-Based Single-Loop Stochastic Penalty Method for Nonconvex Constrained DC-Regularized Optimization
- Relational Rank Geometry in Transformers: Detecting and Steering Hidden-State Relation Frames
- Predicting Causal Effects from Natural Language Queries using Structured Representations
- Entity-Collision: A Stratified Protocol for Attributing Retrieval Lift in Agent Memory
- COMET: Concept Space Dissection of the Modality Gap in Audio-Text Multimodal Contrastive Embeddings
- M=oLe-Lambda: Learning the Coupled-Cluster Response State for Energies, Gradients, and Properties
- Learning Context-Conditioned Predicate Semantics via Prototype Feedback
- Training Deliberative Monitors for Black-Box Scheming Detection
- How to Relieve Distribution Shifts in Semantic Segmentation for Off-Road Environments
- Non-Forgetting Knowledge Allocation with Bi-level Competition for Class-Incremental Learning
- Brain-IT-VQA: From Brain Signals to Answers
- FPLIER: Federated Pathway-Level Information Extractor
- FinVerBench: Benchmark Validity and Calibration in Large Language Model Financial Statement Verification
- BitC-3DGS: High-Capacity 3D Gaussian Splatting Watermarking via Bit Compression
- On the Construction and Implications of Low-Loss Valleys in LoRA-based Bayesian Inference
- GPS-Enhanced Tourist Mobility Modeling with Seasonal Spatial Priors and LLM-Based Activity Chain Generation
- Optimizing Latent Representations for Robust Building Damage Assessment Onboard Earth Observation Satellites
- DefSynUS: Real-time Patient-specific Intrahepatic Vessel Identification via Deformation-Aware CT-US Domain Adaptation
- From General Vision to Reliable Traversability Estimation: Adapting Vision Foundation Models for Unstructured Outdoor Environments
- Planning with the Views
- LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents
- TAE: Target-aware enhancer for nighttime UAV tracking
- Opt-Verifier: Unleashing the Power of LLMs for Optimization Modeling via Dual-Side Verification
- From Blind Guess to Informed Judgment: Teaching LLMs to Evaluate Materials by Building Knowledge-Augmented Preference Signals
- Learning Representations from 3D Gaussian Splats
- Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention
- Singularity-aware Optimization via Randomized Geometric Probing: Towards Stable Non-smooth Optimization
- SCOPE: A Lightweight-training LLM Framework for Air Traffic Control Readback Monitoring
- RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling
- The Complexity of Verifying Feedforward Neural Networks in Quantised Settings
- Half-Truth Audio Detection and Localisation: A Lightweight Cross-Attentive Architecture and a Cross-Corpus Diagnostic Study
- Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detection
- Learning to Perturb Hidden Representations for Generalizable Deep Learning
- KBF: Knowledge Boundary as Fingerprint for Language Model and Black-Box API Auditing
- DeepSurvey: Agent-Oriented Automated Survey Generation with Analytical Depth and Citation Reliability
- Network Optimization Aspects of Autonomous Vehicles: Challenges and Future Directions
- DynaGraph: Lightweight Multi-Model Interaction Framework via Dynamic Topological Reconfiguration
- Xetrieval: Mechanistically Explaining Dense Retrieval
- ESAM++: Efficient Online 3D Perception on the Edge
- Source-Grounded Semantic Reinforcement Learning for Low-Resource Target-Language Generation
- Quotient DAGs for Off-Policy Evaluation:Forward-Flow Importance Sampling and Exact Slate Propensities
- Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting
- Convex Basins in Single-Index Model Loss Landscapes: Applications to Robust Recovery under Strong Adversarial Corruption
- Gradient Perturbation: Learning to Perturb Gradients for Adaptive Training
- The New Pro Se: Generative AI and the Surge in Federal Civil Self-Representation
- Access Sets Matter: Budgeting Expert Reads for Scalable Weight-Space Model Merging
- AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling
- PhoneWorld: From Real-App Trajectories to Dynamic and Verifiable Environments for Phone-Use Agents
- VitalAgent: A Tool-Augmented Agent for Reactive and Proactive Physiological Monitoring over Wearable Health Data
- Evolutionary Rule Extraction from Corporate Default Prediction Models
- Comparative Evaluation of Machine Translation Systems on Images with Text
- MOOSE-Copilot: A Web-Based Interactive Assistant for Unified Exploratory and Fine-Grained Scientific Hypothesis Discovery
- Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles
- SciIntBench: Measuring LLM Compliance with Research Integrity Norms Under Adversarial Framing
- Composing Non-Conjugate Factor Graphs with Closed-Form Variational Inference
- Deep Optimal Individualized Treatment Rules for Bivariate Survival Outcomes via Adaptive Prediction-Powered Learning
- Honest Lying: Understanding Memory Confabulation in Reflexive Agents
- FlowSeg: Dynamic Semantic Guidance for LLM-Conditioned Segmentation
- FedSmoothLoRA: Toward Smoother and Faster Convergence in Federated Low-Rank Adaptation
- Kronecker Embeddings: Byte-Level Structured Token Representations for Parameter-Efficient Language Models
- Uni-RCM: Unified Reference-guided Cross-modal Mapping for Multi-Class Anomaly Detection
- Forget Less, Generalize More: Unifying Temporal and Structural Adaptation for Dynamic Graphs
- Comparative evaluation of photogrammetric reconstruction methods and 3D Gaussian Splatting for road surface roughness analysis
- How Much Is a Dataset Worth? Scaling Laws, the Vendi Score, and Matrix Spectral Functions
- CrystalXRD-Bench: Benchmarking Vision-Language Models for XRD Peak Indexing Across Diverse Crystalline Materials
- One Click per Cell Type Suffices: Training-free Group Interaction for Cell Instance Segmentation
- DELOS: Contrastive Deep Learning for Low-SNR Blind Transit Searches in Kepler Photometry
- FinGuard: Detecting Financial Regulatory Non-Compliance in LLM Interactions
- Learning Design Skills as Memory Policies for Agentic Photonic Inverse Design
- When Does Persona Prompting Actually Help? A Retrieval and Metric Analysis of Expert Role Injection in LLMs
- ParCo-SDF: Learning Prior-Free Partial-to-Complete Signed Distance Fields of Deformable Objects
- Constructing efficient channels for ideal observers using the conjugate gradient method
- Beyond Bilingual Transfer: Multilingual Code-Switching in Instruction Tuning
- Real-Time Retargeting Using Controllability Boundary for Chandrayaan-3 Lunar Landing
- The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
- Architecture-Sensitive Supervised Fine-Tuning for Screen-Conditioned Action Prediction: A PiSAR Benchmark
- Low Rank for Rank: Uncertainty-Aware Task-Specific LLM Ranking under Sparse Pairwise Comparisons
- Offloading Score: Measuring AI Reliance Through Counterfactual Workflows
- Orthogonal Negative Guidance in Attention Feature Space for Text-to-Image Generation
- On the Optimizer Dependence of Neural Scaling Laws
- Latent Terms: Dense Retrievers Contain Trivially Extractable BM25-ready Zipfian Vocabularies
- TRACER: Persistent Regularization for Robust Multimodal Finetuning
- BrahmicTokenizer-131K: An Indic-Capable Drop-In Replacement for o200k_base
- Deep Adaptive Dimension Reduction for Bayesian Inference in Inverse Problems
- Kernel-based potential mean-field games with unbiased random Fourier U-statistics
- Attention Asymmetry in AI Layoff Discourse on X: A Computational Analysis of Capital vs Labour Amplification
- Solving Integer Linear Programming with Parallel Tempering
- Casual as an Anchor: Resolving Supervision Misalignment in Formality Transfer Dataset
- Does Distributed Training Undermine Compute Governance?
- PassNet: Scaling Large Language Models for Graph Compiler Pass Generation
- Neural-Behavioral Representation of Natural Whole-body Movement in Monkeys
- DeepFake Forensics AI: A Multi-Modal Detection and Blockchain-Anchored Evidence Management Platform
- Attention as In-Context Empirical Bayes: A Two-Stage View via Particle Dynamics
- A Study on Question-Answer Dataset for LLM Safety Evaluation with a Focus on Illegal Activities
- Enhancing Factuality through Consensus and Consistency in Summarization Using Minimum Bayes Risk Decoding
- Rethinking FID Through the Geometry of the Reference Dataset
- EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation
- Mixing Vector Model for Copolymer Inference via Mixed Integer Linear Programming
- NeuroEdge: Real-Time Hand Gesture Recognition with High-Density EMG Using Deep Learning at the Edge
- Multi-Stage VLM Pipeline for Zero-Shot Traffic Accident Understanding
- FreeForm: Reduced-Order Deformable Simulation from Particle-Based Skinning Eigenmodes
- FoRA: Fisher-orthogonal Rank Adaptation for Parameter-Efficient Fine-Tuning
- CapTalk: Text-Guided Stylization and Speech-Driven 3D Head Animation
- Entropy-KL Divergence-based Token Masking: A Novel Approach for Selective Fine-tuning of Large Language Models
- ViASNet: A Video Ad Saliency Network for Predicting Dynamic Saliency and Viewer Engagement
- MusTBench: Benchmarking and Advancing Temporal Grounding in Music LLMs
- Turbulence-Robust Dynamic Object Segmentation with Multi-Signal Priors and SAM2 Refinement
- UniNote: A Unified Embedding Model for Multimodal Representation and Ranking
- Do Physics Foundation Models Learn Generalizable Physics? A Bias-Aware Benchmark Across Physical Regimes and Distribution Shifts
- Accommodation Goes Both Ways: Studying Linguistic Convergence Between Humans and Language Models
- Learnable Assessment Skills for LLM-based Automated Scoring: Rubric Construction via Iterative Optimization
- A Theoretical and Experimental Study of a Novel Adaptive Learning Algorithm
- Causal Label Recovery in Payment Networks
- When and How Human Curation Backfires: Preference Alignment under Multi-Model Self-Consuming Loop
- Prior-Guided Frequency-Calibrated Virtual EEG Channel Inference from Four Frontal Electrodes for Wearable EEG Augmentation
- Deep Psychovisual Image Representations
- KLAS: Using Similarity to Stitch Neural Networks for Improved Accuracy-Efficiency Tradeoffs
- Extreme dynamic symmetry enables omnidirectional and multifunctional robots
- OpenClawBench: Benchmarking Process-side Anomalies in Real-world Agent Execution Trajectories
- OmniRetrieval: Unified Retrieval across Heterogeneous Knowledge Sources
- Prediction-Powered Inference Across Many Tasks for AI Evaluation & Social Science Research
- Wait! There's a Way Out: A Decision Mechanism for Forecasting Conversational Derailment
- Surfacing Isolated Learners with Outcome-Independent Mediation of Feedback between Teachers and Students Using AI
- SigmaMedStat: Temporal Signal Modeling for ICU False Alarm Reduction
- Toward a More Ethical Facial Age Estimation: A Generalized Zero-Shot Benchmark Without Training on Children's Data
- Traditional machine learning vs. deep learning from dynamic graph representations of proteins' 3D folds in the task of protein structure classification
- Inferring the Size of Large Language Models From Popular Text Memorization
- An Approach for Thyroid Nodule Analysis Using Thermographic Images
- Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes
- SalsaAgent: A multimodal embodied language model for interactive dance generation
- Towards the automated segmentation of epicardial and mediastinal fats: A multi-manufacturer approach using intersubject registration and random forest
- MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality
- libhmm: A Modern C++20 Library for Hidden Markov Models with Correct MLE Emission M-Steps
- Stochastic Lifting for Generating Trajectories of Stochastic Physical Systems