Papers
Wed 10 Jun 2026
496 papers
- The Artificial Experimentalist: Discovery and Control of Self-Organizing Phenomena with Autotelic Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- StocksTalk: A Voice-Enabled Conversational Agent for Structured Query Generation over Web DataLLM agents and tool use → Financial trading and forecasting agents
- Self-Evolving Agents as Dynamic Graph Transformation: A Survey and New PerspectiveLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- MemoryForge: Synthesize Lifelong Memory for Human-Like LLM AgentsLLM agents and tool use → Agent memory systems
- Structure Over Scale: Schema-Constrained Causal Graphs for RAGRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Closing the Social-Semantic Gap: SPSD for Edge-Based Prompt Compression in Cloud LLM InferenceEfficient LLM inference and serving → Prompt and context compression
- When to Trust, How to Distill: Multi-Foundation Model Guidance for Lightweight, Robust Scientific Time Series ForecastingKnowledge distillation → General knowledge distillation methods
- Breaking the Solver Bottleneck: Training Task Generators at the Learnable FrontierDeep reinforcement learning methods → RL training of language and agent models
- CMIP-Forge: An Agentic System that Retrieves, Computes, and Self-Reviews Climate ScienceLLM agents and tool use → Multimodal and embodied agents
- Unifying Acoustic Features and Text with Multimodal LLMs for Neurodegenerative ScreeningMultimodal LLMs / vision-language models → Medical vision-language models
- MatchLM2Lite: A Scalable MLLM-to-Lite Framework for Reproduced Content IdentificationKnowledge distillation → Multimodal distillation
- The Vision Encoder as a Privacy Boundary: Visual-Token Side Channels in Encoder-Free Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Last But Not Least: Boundary Attention CalibratiON for Multimodal KV Cache CompressionLLM reasoning → Test-time compute and efficient thinking +2
- Variational Deep Unfolding with Mamba-Based Nonlocal Modeling for Underwater Image EnhancementState-space sequence models (S4, Mamba) → Mamba for image restoration
- Unified KV Pooling to Accelerate Long-Context LLM ServingEfficient LLM inference and serving → KV cache optimization
- LoMC: Localized Multidirectional Correction for Refusal Suppression in Routed Foundation ModelsMixture-of-experts → Expert routing strategies
- Tiara: A Programmable Line-Rate ISA for Remote Memory AccessEfficient LLM inference and serving → Serving systems and request scheduling
- Orchestra-o1: Omnimodal Agent OrchestrationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Agent-based models for the evolution of morphological alternation patternsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Prefill Awareness in Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- GRIP: Feedback-Guided Prompt Retrieval for Large Multimodal ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- PI-Hunter: Automated Red-Teaming for Exposing and Localizing Prompt InjectionsLLM agents and tool use → Agent threats, guardrails and governance +1
- Normative Robustness as a Frontier for Non-Verifiable Reasoning in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Rethinking Psychometric Evaluation of LLMs: When and Why Self-Reports Predict BehaviorLLM reasoning → Reasoning benchmarks and evaluation
- Does AI Reviewer See the Full Picture? Attacking and Defending Multimodal Peer ReviewLLM safety and security → Prompt injection and agent security
- A Stabilized Path-Space Approach to Diffusion-Based Posterior SamplingDiffusion models → Inverse problems and image restoration
- Smarter Saboteurs, Better Fixers: Scaling & Security in Linear Multi-Agent WorkflowsLLM agents and tool use → Agent threats, guardrails and governance
- VLADriveBench: Evaluating CoT-Action Relationship in VLA for Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- SMSR: Certified Defence Against Runtime Memory Poisoning in Persistent LLM Agent SystemsRetrieval-augmented generation → Privacy and security of RAG +1
- Deployment-Centered Evaluation: Predicting Query-Level Rejection Risk in a Clinical LLM SystemLLM safety and security → Safety alignment, refusal and guardrails
- EWAM: An Enhanced World Action Model for Closed-Loop Online Adaptation in Embodied IntelligenceWorld models → Embodied and robot world models
- Observable Patterns Are Not Explanations: A Causal-Geometric Analysis of Latent Reasoning ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- M*: A Modular, Extensible, Serving System for Multimodal ModelsWorld models → World models for language agents
- Fed-FBD: Federated Functional Block Diversification for Isolation, Privacy, and Surgical UnlearningLLM safety and security → Federated unlearning and poisoning
- Evoflux: Inference-Time Evolution of Executable Tool Workflows for Compact AgentsLLM agents and tool use → Tool learning and function calling
- SalArt-VQA: Diagnosing Whether VLMs Understand Salient Artifacts in Generated ImagesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- TrajGenAgent: A Hierarchical LLM Agent for Human Mobility Trajectory GenerationLLM agents and tool use → Multimodal and embodied agents
- Individual Control Barrier Functions-Guided Diffusion Model for Safe Offline Multi-Agent Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- Keep Policy Gradient in Charge: Sibling-Guided Credit Distillation for Long-Horizon Tool-Use AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- "Did you lie?" Evaluating Lie Detectors across Model Scale and Belief-Verified Model OrganismsLLM reasoning → Prompting and chain-of-thought reasoning
- PersonaDrive: Human-Style Retrieval-Augmented VLA Agents for Closed-Loop Driving SimulationEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Shopping Reasoning Bench: An Expert-Authored Benchmark for Multi-Turn Conversational Shopping AssistantsLLM reasoning → Reasoning for agents, planning and code
- Pythagoras-Prover: Advancing Efficient Formal Proving via Augmented Lean FormalisationLLM reasoning → Mathematical reasoning
- Analyzing and Improving Fine-grained Preference Optimization in Medical LVLMsMultimodal LLMs / vision-language models → Medical vision-language models +1
- Beyond Attack Success Rate: Examining Trigger Leakage in Vision-Language Agentic SystemsLLM agents and tool use → Agent threats, guardrails and governance +1
- MARD: Mirror-Augmented Reasoning Distillation for Mechanism-Level Drug-Drug Interaction PredictionLLM reasoning → Clinical and biomedical applications +1
- High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End DistillationDiffusion models → Diffusion foundations and sampling
- Arbor: Tree Search as a Cognition Layer for Autonomous AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- AudioX-Turbo: A Unified Framework for Efficient Anything-to-Audio GenerationDiffusion models → Audio, speech and music
- Foresight: Iterative Reasoning About Clues that Matter for NavigationLLM reasoning → Spatial and embodied reasoning
- Rubric-Guided Self-Distillation: Post-Training Without Rubric VerifiersKnowledge distillation → On-policy and self-distillation for LLMs
- Boosting Direct Preference Optimization with PenalizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- μVLA: On Recurrent Memory for Partially Observable Manipulation in VLA ModelsVision-language-action models → Reasoning and chain-of-thought in VLA
- DynamicPTQ: Mitigating Activation Quantization Collapse via Residual-Stream DynamicsEfficient LLM inference and serving → KV cache quantization
- Speculative Rollback Correction for Quality-Diverse Web Agent ImitationLLM agents and tool use → Web, search, and research agents +1
- Representing Time Series as Structured Programs for LLM ReasoningLLM reasoning → Time series reasoning
- ReCal: Reward Calibration for RL-based LLM RoutingLLM reasoning → Reinforcement learning for reasoning
- SAIGuard: Communication-State Simulation for Proactive Defense of LLM Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- World Pilot: Steering Vision-Language-Action Models with World-Action PriorsWorld models → Embodied and robot world models +1
- DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners?LLM reasoning → Spatial and embodied reasoning +1
- Doc-to-Atom: Learning to Compile and Compose Memory AtomsLLM reasoning → Knowledge- and tool-augmented reasoning
- Redesign Mixture-of-Experts Routers with Manifold Power IterationMixture-of-experts → Expert routing strategies
- VLGA: Vision-Language-Geometry-Action Models for Autonomous DrivingVision-language-action models → VLA for autonomous driving +1
- APPO: Agentic Procedural Policy OptimizationLLM agents and tool use → Reinforcement learning for LLM agents
- Verifiable Environments Are LEGO Bricks: Recursive Composition for Reasoning GeneralizationLLM reasoning → Reinforcement learning for reasoning
- UniIntervene: Agentic Intervention for Efficient Real-World Reinforcement LearningLLM agents and tool use → Multimodal and embodied agents
- Should LLM Agents Decide in Social Simulations? Comparing Finite-State and LLM-Based Decision PoliciesLLM agents and tool use → Social simulation and multi-agent debate
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action PoliciesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in RoboticsDiffusion models → Diffusion and flow policies for robotics +1
- CHORUS: Decentralized Multi-Embodiment Collaboration with One VLA PolicyVision-language-action models → Generalist VLA models and benchmarks
- ALIGNBEAM : Inference-Time Alignment Transfer via Cross-Vocabulary Logit MixingLLM safety and security → Safety alignment, refusal and guardrails
- OCELOT: Inference-Leakage Budgets for Privacy-Preserving LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Fourier Features Let Agents Learn High Precision Policies with Imitation LearningLLM reasoning → Spatial and embodied reasoning +1
- PROJECTMEM: A Local-First, Event-Sourced Memory and Judgment Layer for AI Coding AgentsLLM agents and tool use → Software engineering coding agents
- Slots, Transitions, Loops: Learning Composable World Models for ARCWorld models → World models for language agents
- Learning What to Say to Your VLA: Mostly Harmless Vision Language Action Model SteeringVision-language-action models → Generalist VLA models and benchmarks
- PianoKontext: Expressive Performance Rendering from Deadpan ContextDiffusion models → Audio, speech and music
- CCKS: Consensus-based Communication and Knowledge SharingDeep reinforcement learning methods → RL for games and combinatorial optimization
- Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUsDiffusion models → Diffusion foundations and sampling
- Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- VOID: Defeating Unauthorized Mimicry in Latent Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Reinforcement Learning Disrupts Gradient-Based Adversarial OptimizationDeep reinforcement learning methods → Adversarial robustness and RL in finance
- DiffCold: A Diffusion-based Generative Model for Cold-Start Item RecommendationDiffusion models → Diffusion recommenders
- VIA-SD: Verification via Intra-Model Routing for Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Multi-Rate Mixture of Experts for Accelerating Liquid Neural Network TrainingMixture-of-experts → MoE theory and gating functions
- DrivingAgent: Design and Scheduling Agents for Autonomous Driving SystemsEnd-to-end autonomous driving → Large language models for driving +1
- Re-evaluating Confidence Remasking in Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Making Foresight Actionable: Repurposing Representation Alignment in World Action ModelsWorld models → Embodied and robot world models
- Which Speech Representation Better Matches Text-Native Reasoning? A Study of Speech-Text Alignment on Frame Rate and RepresentationLLM reasoning → Audio-language model reasoning
- LLM-Based User Personas for Recommendations at ScaleLLM reasoning → LLM reasoning for recommendation
- InternVideo3: Agentify Foundation Models with Multimodal Contextual ReasoningLLM agents and tool use → Multimodal and embodied agents
- Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and ApplicationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Beyond Dark Knowledge: Mixup-Based Distillation for Reliable PredictionsKnowledge distillation → General knowledge distillation methods
- OpenMedReason: Scientific Reasoning Supervision for Medical Vision-Language ModelsLLM reasoning → Clinical and biomedical applications +1
- AerialClaw: An Open-Source Framework for LLM-Driven Autonomous Aerial AgentsLLM agents and tool use → Multimodal and embodied agents
- Unstable Features, Reproducible Subspaces: Understanding Seed Dependence in Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- ReUnit: Multi-Granularity Visual Unitization for Long Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- InDex: Empowering VLA Models with Intent-Conditioned Arm-Hand Coordination for Dexterous ManipulationVision-language-action models → Human-video and latent-action pretraining
- DAM-VLA: Decoupled Asynchronous Multimodal Vision Language Action modelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
All 496
- Deep Reinforcement Learning for Adaptive Power Allocation in ISAC Systems with Mobile TargetDeep reinforcement learning methods → RL for energy, networks and operations
- World Model Self-Distillation: Training World Models to Solve General TasksWorld models → Latent dynamics models and model-based RL +3
- Metadata-Aware Multi-Prompt Reasoning for Zero-Shot Accident UnderstandingLLM reasoning → Chain-of-thought reasoning for driving
- KinematicRL: A Sim-to-Real Reinforcement Learning Framework For Social Navigation With Kinodynamic FeasibilityDeep reinforcement learning methods → RL for robot navigation and UAV control
- MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence ReasoningLLM reasoning → Reasoning for agents, planning and code +2
- Generalization Hacking: Models Can Game Reinforcement Learning by Preventing Behavioral GeneralizationDeep reinforcement learning methods → RL training of language and agent models
- Agreement in Representation Space for Open-Ended Self-ConsistencyLLM reasoning → Test-time compute and efficient thinking
- PAWS: Preference Learning with Advantage-Weighted SegmentsDeep reinforcement learning methods → RL training of language and agent models
- ParseFixer: An Agentic Framework for Document Parsing via Selective Multimodal CorrectionLLM agents and tool use → Web, search, and research agents
- Exploration Structure in LLM Agents for Multi-File Change LocalizationLLM agents and tool use → Software engineering coding agents
- SpecLoR: Spectral Lookahead Rectification for Motion-Coherent Text-to-Video GenerationDiffusion models → Video generation
- Online Shift Detection and Conformal Adaptation for Deployed Safety ClassifiersLLM reasoning → Reasoning for agents, planning and code +1
- The Art of Interrogation: Consistency Amplifies Factuality in Spatial ReasoningLLM reasoning → Spatial and embodied reasoning
- Tail-Aware Adaptive-k: Query-Adaptive Context Selection for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- When Does Language Matter? Multilingual Instructions Reveal Step-wise Language Sensitivity in Vision-Language-Action ModelsVision-language-action models → Failure recovery and robustness
- Beyond representational alignment with brain-guided language models for robust reasoningLLM reasoning → Reasoning benchmarks and evaluation
- Critic Architecture Matters: Dual vs. Unified Critics for Humanoid Loco-ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Task-Aligned Stability Analysis of Vision-Language Models for Autonomous Driving Hazard DetectionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Harnessing Routing Foresight for Micro-step-level MoE load balancing in RL Post-trainingMixture-of-experts → MoE in reinforcement learning and robotics
- CORE-Bench: A Comprehensive Benchmark for Code Retrieval in the Era of Agentic CodingLLM agents and tool use → Software engineering coding agents
- Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement TrainingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Task-Aware Structured Memory for Dynamic Multi-modal In-Context LearningMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Plan-and-Verify Video Reward Reasoning with Spatio-Temporal Scene Graph GroundingLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Flow Matching with In-Context Priors for Out-of-Distribution Brain DynamicsDiffusion models → Medical imaging and segmentation
- Skill-Augmented AI Agents for Medical Research Analysis: An Exploratory Multi-Model Human Evaluation in an NSCLC Transcriptomic Biomarker TaskLLM agents and tool use → Medical and scientific domain agents
- Grammar-Constrained Decoding Can Jailbreak LLMs into Generating Malicious CodeLLM safety and security → Jailbreaking
- WorldReasoner: Evaluating Whether Language Model Agents Forecast Events with Valid ReasoningLLM agents and tool use → Financial trading and forecasting agents
- Deterministic Policy Gradient for Learning Equilibrium in Time-Inconsistent Control ProblemsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Space-sampled Value Decay: Forgetting Mechanisms for Non-stationary Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- MultiToP: Learning to Patch Visual Tokens to Mitigate Hallucinations in Video Large Multimodal ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- SVoT: State-aware Visualization-of-Thought for Spatial Reasoning via Reinforcement LearningLLM reasoning → Spatial and embodied reasoning +1
- Acoda: Adversarial Code Obfuscation for Defending against LLM-based AnalysisLLM reasoning → Reasoning for agents, planning and code
- From Prompts to Tokens: Internalizing Causal Supervision in Vision-Language Model for Multi-Image Causal ReasoningLLM reasoning → Multimodal reasoning +1
- TacCoRL: Integrating Tactile Feedback into VLA via SimulationVision-language-action models → Tactile, force-aware and humanoid VLA
- Mind the Perspective: Let's Reason Recursively for Theory of MindLLM reasoning → Reasoning benchmarks and evaluation
- Ouroboros-Spatial: Closing the Data-Model Loop for Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +1
- RLCSD: Reinforcement Learning with Contrastive On-Policy Self-DistillationLLM reasoning → Prompting and chain-of-thought reasoning +2
- CompRank: Efficient LLM Reranking via Token-Level Compression and Decoding-Free ScoringRetrieval-augmented generation → Generation and context integration
- T2S: A Rehearsal-Based Approach for Extraction-Resistant Model WatermarkingLLM safety and security → Watermarking generated content and models
- Evaluation of Alternative-Based Information Systems for Deliberative Polling using an Agentic SimulatorLLM agents and tool use → Social simulation and multi-agent debate
- Spectrally Regularized Latent Flow Matching for Turbulence GenerationDiffusion models → Flow matching, time series and science
- Goal-Autopilot: A Verifiable Anti-Fabrication Firewall for Unattended Long-Horizon AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Layer-Isolated Evaluation: Gating the Deterministic Scaffold of a Production LLM Agent with a No-LLM, Regression-Locked Test HarnessLLM agents and tool use → General LLM agent frameworks and benchmarks
- Reason, Then Re-reason: Cross-view Revisiting Improves Spatial ReasoningLLM reasoning → Spatial and embodied reasoning
- Organize then Retrieve: Hierarchical Memory Navigation for Efficient AgentsLLM agents and tool use → Agent memory systems
- Can AI Reason Like an Urban Planner? Benchmarking Large Language Models Against Professional JudgmentLLM reasoning → Reasoning for agents, planning and code
- Lung-R1: A Knowledge Graph-Guided LLM for Pulmonary Diagnostic ReasoningLLM reasoning → Clinical and biomedical applications
- Can Open-Source LLM Agents Replace Static Application Security Testing Tools? An Empirical AssessmentLLM agents and tool use → Agent threats, guardrails and governance
- Runtime Skill Audit: Targeted Runtime Probing for Agent Skill SecurityLLM agents and tool use → Agent threats, guardrails and governance
- Sparse probes and murky physics: a case study of interpretability challenges in a foundation model for continuum dynamicsMechanistic interpretability → Sparse autoencoder training and evaluation
- IAPO: Input Attribution-Aware Policy Optimization for Tool Use in Small Multimodal AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Dummy Backdoor as a Defense: Removing Unknown Backdoors via Shared Internal Mechanisms for Generative LLMsLLM safety and security → Backdoor and data poisoning attacks
- TouchThinker: Scaling Tactile Commonsense Reasoning to the Open World with Large-scale Data and Action-aware RepresentationLLM reasoning → Spatial and embodied reasoning
- Are LLMs Bad at Moral Reasoning?LLM reasoning → Reasoning benchmarks and evaluation
- Architecture-Aware Reinforcement Learning Makes Sliding-Window Attention Competitive in Math ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- When Context Returns: Toward Robust Internalization in On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Adapting Vision-Language Models from Iconic to Inclusive for Multi-Label Recognition Without LabelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- TimeRouter: Efficient and Adaptive Routing of Time-Series Foundation ModelsLLM agents and tool use → Financial trading and forecasting agents
- Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation AttacksDiffusion models → Robustness, privacy and adversarial aspects
- Multi-Agent Reasoning with Adaptive Worker Allocation for Stance DetectionLLM reasoning → Causal reasoning in LLMs +1
- Physics-Distilled Neural Network enabled by Large Language Models for Manufacturing Process-Property Predictive ModelingKnowledge distillation → General knowledge distillation methods
- When is Your LLM Steerable?Mechanistic interpretability → Activation steering methods
- Distortion-Resilient Robotic Imitation Learning for Autonomous Cable RoutingOffline RL and imitation learning from data → Imitation learning methods
- AVIS: Adaptive Test-Time Scaling for Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- FreqKD: Frequency-Decoupled Cross-Modal Knowledge Distillation for Infrared Object DetectionKnowledge distillation → Detection and dense prediction distillation
- ConsistencyPlanner: Real-time Planning with Fast-Sampling Consistency ModelsDiffusion models → Diffusion and flow policies for robotics
- 4DP-QA: Scalable QA for 4D Perception in Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- LLMs+Graphs: Toward Graph-Native, Synergistic AI SystemsLLM reasoning → Knowledge- and tool-augmented reasoning
- HERO: Hindsight-Enhanced Reflection from Environment Observations for Agentic Self-DistillationLLM agents and tool use → Reinforcement learning for LLM agents +1
- VL-DINO: Leveraging CLIP Vision-Language Knowledge for Open-Vocabulary Object DetectioMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- SkillJuror: Measuring How Agent Skill Organization Changes Runtime BehaviorLLM agents and tool use → Agent skill learning and evolution
- Learning Object Manipulation from Scratch via Contrastive InteractionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Towards Sustainable Hydrogen Systems: Supply Chain Optimization with Model Predictive Control and Reinforcement Learning
- Distinguishing Revision and Delayed Elaboration in Incremental Narrative Interpretation
- Asymmetric Attention Heads: Structured Head-Wise Context Allocation for Transformer Attention
- Same Facts, Different Updates: Inference Setup Shapes LLM Behavior in Medical Allocation
- Institutional Prestige as Geographic Bias in Large Language Models: Evidence from Three Factorial Experiments with Bootstrap Confidence Intervals
- Different Facets of Verbalised Overconfidence: an Interpretability Study
- DeepTCM1.0: A Multi-Expert AI Agent for Deciphering Mechanisms of Chinese Herbal Formulae Based on General Large Language Models
- RoCo-ACE: Rollout-Conditioned Online Distillation for Retention-Aware Knowledge Injection
- Lexical discovery in unknown environments orchestrated by Large Language Models
- DRP-FLR: Data-Driven Assessment of Demand Response Potential for Flexible Load Regulation in Smart Grids
- DFAH-Bench: Benchmarking Observable Agent Instability in Financial Decision-Making
- Why does AI unlock new possibilities in STEM education? A Bibliometric Analysis of Trends and Future Agenda
- The GenAI Skill Bypass: Mapping Divergent Pathways of University Students and Staff AI Literacy
- CANONIC: Governance Is Compilation
- AI Tokenomics: The Economics of Tokens, Computation, and Pricing in Foundation Models
- DrugBench: Evaluating AI Control Protocols for Medication Harm Mitigation
- Artemis: Anatomy-Resolved inTervention for Eliminating Multimodal NeuroImage confounderS
- CODEBLOCK: Learning to Supervise Code at the Right Granularity
- Comprehensive pKa Data Augmentation from Limited Real Data through an Engineered Models-Quantum Framework
- Surveying GenAI-based Automation in Printed Circuit Board Design and Test
- Extracting Semantics: LLM-Guided Automatic Population of Robot Ontology from URDF
- Vision-Encoder Behavioral Fingerprints of Image-to-Image Generative Models: A Training-Paradigm-Driven Taxonomy of Six Commercial APIs
- LLM-Based Synthetic Ground Truth Generation for Audio-Based Emotion Classification via In-Context Learning
- YTClickbait21K: Human-Annotated Multimodal Dataset for YouTube Clickbait Detection Across Diverse Channels and Content Categories
- FactCheck: Feasibility-aware Long-term Action Anticipation with Multi-agent Collaboration
- JoyAI-VL-Interaction: Real-Time Vision-Language Interaction Intelligence
- Deep Learning-Based Lunar Crater Terrain Relative Navigation
- WorkBench Revisited: Workplace Agents Two Years On
- TSA: Temporal Slot Activation for Persistent Object-Centric Video Representation
- CisTransCell: Single-Cell Perturbation Prediction via Gene Function, Regulatory Control, and Cellular Context
- Multimodal Speaker Identification in Classroom Environments
- Hybrid Open-Ended Tri-Evolution Makes Better Deep Researcher
- LLMs Can Better Capture Human Judgments--With the Right Prompts
- Reducing the Complexity of Deep Learning Models for EEG Analysis on Wearable Devices
- Deep Unfolded Latent Optimally Partitioned-l2/l1 Networks for Data-driven Block-Sparse Recovery
- Benchmarking AI Agents for Addressing Scientific Challenges Across Scales
- Physics-Informed Neural Networks and Radial Basis Functions for PDEs with Dirac Delta Sources
- Let's Ask Gauss: Improved One-Run Privacy Auditing
- EquiDexFlow: Contact-Grounded SE(3)-Equivariant Dexterous Grasp Generative Flows
- The Theory of Mind Utility: A Formal Account of Mentalizing
- On McDiarmid's Inequality under Dependence via Approximate Tensorization of Entropy
- Out-of-Distribution (OOD) Detectors for Open-Set RF Fingerprinting
- Definitional alignment before capability alignment: a Design-Science framework for adjudicating claims about AGI
- AfriSUD: A Dependency Treebank Collection for Evaluating Models on African Languages
- LLM-Powered Personalized Glycemic Assessment in Type 2 Diabetes with Wearable Sensor Data
- A unified complexity bound for logconcave sampling
- Two-Layer Linear Auto-Regressive Models Estimate Latent States
- Forecasting Is Not Attribution: Localizing Decoder Bypass in Graph-Based Neural Marketing Mix Models
- From AGI to ASI
- How Useful is Causal Invariance for Domain Adaptation in Finite-Sample Settings?
- A Zero-shot Generalized Graph Anomaly Detection Framework via Node Reconstruction
- Free-Placement Optimization of Ground Station Locations for Low-Earth Orbit Satellites
- CAPED: Context-Aware Privacy Exposure Defense for Mobile GUI Agents
- BASENet: Band-Adapted Speech Enhancement Network with Cross-Band Attention
- Physics-Informed Neural Networks for Chemotherapy Pharmacokinetics: Benchmarking the Clinical Estimator and Exposing Parameter Identifiability
- Amnesia: A Stealthy Replay Attack on Continual Learning Dreams
- Computationally tractable robust differentially private mean estimation
- Physics-Aware Auxiliary Losses Improve Out-of-Distribution Generalization of a GNN Synthesizability Filter
- MentalMARBERT: Domain-Adaptive Pre-training and Two-Stage Fine-Tuning for Arabic Mental Health Disorders Detection
- Token Complexity Theory for AI-Augmented Computing
- Epistemic Uncertainty Is Not the Reducible Kind
- TEDD: Robust Detection of Unstable Temporal Features
- The Metric Picks the Winner: Evaluation Choice Flips Model Rankings for Drug-Response Prediction in Unseen Chemistry
- CD-RCM: Generalizable Continuous-Depth Novel View Synthesis for Reflectance Confocal Microscopy
- ECA: Efficient Continual Alignment for Open-Ended Image-to-Text Generation
- The Signs Were Always There: Training-Free Concept Detection and Steering in Raw Transformer Dimensions
- Context-Aware Feature-Fusion for Co-occurring Object Detection in Autonomous Driving
- Estimating Individualized Treatment Effects in Acute Ischemic Stroke with Causal Transformation Models (TRAM-DAG): A Multi-Centre Observational Study with External RCT Validation
- HybridCodeAuthorship: A Benchmark Dataset for Line-Level Code Authorship Detection
- Towards Provably Fair Machine Learning: Bayesian Approaches For Consistent and Transparent Predictions
- Evaluation of AutoML Frameworks for IDS under Imbalanced Data Conditions of the NSL-KDD Dataset
- The Mathematics of AI Winters: The mathematical Taxonomy of Paradigm Fragility in AI Winter
- Viral Proteins Reveal Geometry of Protein Language Models
- From Imitation to Alignment: Human-Preference Flow Policies for Long-Horizon Sidewalk Navigation
- Dual-State Slot Attention: Decoupling Appearance and Identity for Video Object-Centric Learning
- Constrained Semantic Decompression in LLMs through Persian Proverb-Conditioned Story Generation
- Emerging Flexible Designs for Geospatial Multimodal Foundation Models
- Strategic Decision Support for AI Agents
- Graph Reduction in Multirelational Networks: A Spreading-Oriented Reduction Benchmark
- Helping Figures Tell their Story! Paper-Grounded Video Generation Explaining Complex Scientific Figures
- eCREAM-MedCorpus A Large-Scale Corpus of Clinical Notes for Italian
- HairPort: In-context 3D-aware Hair Import and Transfer for Images
- Feature-preserving Latent-EnKF for Data Assimilation of Flows with Shocks
- Crossing the Validation Crisis: Cross-Validation Reduces Benchmarking Variance Surprisingly Well
- Dolph2Vec: Self-Supervised Representations of Dolphin Vocalizations
- A Mathematical Theory of Value: a synthesis on goal-directed agency under resource constraints
- Policy-driven Conformal Prediction for Trustworthy QoT Estimation
- Improving Crash Frequency Prediction from Simulated Traffic Conflicts Using Machine Learning Based Microsimulation
- From Parameters to Feature Space: Task Arithmetic for Backdoor Mitigation in Model Merging
- Net-Ev2: A Generative Simulator for Network Event Evolution
- Robustness Verification of Recurrent Neural Networks with Abstraction Refinement
- Masked Neural Detection for Run-Length-Limited Channel Coding in Molecular Communication
- A Stationary (and Therefore Compatible) Representation is All You Need
- An Empirical Study on Predictive Maintenance for Component X in Heavy-Duty Scania Trucks
- Scalable anomaly detection via a univariate Christoffel function
- Boltzmann Attention: Learnable Ising Couplings for Cooperative Attention
- Quickest Detection of Hallucination Onset: Delay Bounds and Learned CUSUM Statistics
- Stereo Vision-Based Fall Prediction and Detection using Human Pose Estimation on the AMD Kria K26 SOM
- Context-Driven Incremental Compression for Multi-Turn Dialogue Generation
- How Seemingly Inconsequential Design Choices Dictate Performance of LLMs in Pathology
- FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learning
- System Report for CCL25-Eval Task 5: New Dataset and LoRA-Fine-Tuned Qwen2.5
- TAHOE: Text-to-SQL with Automated Hint Optimization from Experience
- ATLAS: Active Theory Learning for Automated Science
- Which Models Are Our Models Built On? Auditing Invisible Dependencies in Modern LLMs
- SPEA2^+: Improved Density Estimation in SPEA2 with Provable Runtime Guarantees
- Illumination-Robust Camera-Based Heart-Rate Estimation for Physiological Sensing in Robots
- Semantically-Aware Diver Activity Recognition Framework for Effective Underwater Multi-Human-Robot Collaboration
- A Turbo-Inference Strategy for Object Detection and Instance Segmentation
- Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling
- DepthMaster: Unified Monocular Depth Estimation for Perspective and Panoramic Images
- On Subquadratic Architectures: From Applications to Principles
- Latent World Recovery for Multimodal Learning with Missing Modalities
- Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signal
- Nonslop: A Gamified Experiment in Human-AI Collaborative Writing
- Atlas H&E-TME: Scalable AI-Based Tissue Profiling at Expert Pathologist-Level Accuracy
- Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks
- Echoes of the Prior: A Computational Phenomenology of Forgetting
- Adjoint Method versus Physics-Informed Neural Networks in PDE-Constrained Inverse Problems
- Measuring Semantic Progress in Multi-turn Dialogue via Information Gain
- A Five-Plane Reference Architecture for Runtime Governance of Production AI Agents
- Anatomically Conditioned Recurrent Refinement for Topology-Aware Circle of Willis Segmentation
- Chain of Operators: An Inference-Time Harness for In-Context Operator Learning
- From 2D Grids to 1D Tokens: Reforming Shared Representations for Multimodal Image Fusion
- Natural-Language Temporal Grounding in Hour-Long Videos is a Search Problem: A Benchmark and Empirical Decomposition
- Findings of the MAGMaR 2026 Shared Task
- Bridging the Modality Gap in Forensic Image Retrieval
- Measuring Epistemic Resilience of LLMs Under Misleading Medical Context
- The Standard Interpretable Model: A general theory of interpretable machine learning to deductively design interpretable methods using Lagrangian mechanics
- SpikeDecoder: Realizing the GPT Architecture with Spiking Neural Networks
- CellNet -- Localizing Cells using Sparse and Noisy Point Annotations
- Genetic Algorithms with Optimization Guided Operators
- Finding Sparse Subnetworks in One Training Cycle via Progressive Magnitude-Based Pruning
- Finding Multiple Interpretations in Datasets
- The Impossibility of Eliciting Latent Knowledge
- Market Design for AI: Beyond the Copyright Binary
- Bridging Day and Night: Unsupervised Cross-Domain Re-Identification with Synergistic Prompt and Prototype Learning
- Using Explainability as a Training-Time Reliability Signal for Efficient ECG Classification
- Reassessing High-Performing LLMs on Polish Medical Exams: True Competence or Bias-Driven Performance?
- Damage-TriageFormer: A Foundation-Model Framework for Typology-Based Building Damage Assessment from Mono-Temporal Imagery
- Beyond Third-Person Audits: Situated Interaction Auditing for User-Centered LLM Bias Research
- On The Effectiveness-Fluency Trade-Off In LLM Conditioning: A Systematic Study
- Rule Taxonomy and Evolution in AI IDEs: A Mining and Survey Study
- An Electric Potential-Augmented Benchmark Dataset for Physics-Guided Image Reconstruction of Electrical Capacitance Tomography
- Adapting Prithvi-EO for Fallow Detection for Food-Water Nexus: ViT-Adapter Necks and Parameter-Efficient Backbone tuning of Geospatial Foundation Model
- MLT-Dedup: Efficient Large-Scale Online Video Deduplication via Multi-Level Representations and Spatial-Temporal Matching
- SHERPA: Seam-aware Harmonized ERP Adaptation for Open-Domain 360^circ Panorama Generation
- Quantum Occam Learning: Sample-Supported Expressibility for Circuit-Based Quantum Learning
- Can News Predict the Market? Limits of Zero-Shot Financial NLP and the Role of Explainable AI
- Intelligent Automation for Embodied Benchmark Construction: Pipelines, Embodiments, Simulators, and Trends
- Adaptive Multi-Resolution Procedural Knowledge Compression for Large Language Models
- Implicit Neural Representations of Individual Behavior
- DynaTok: Token-Based 4D Reconstruction from Partial Point Clouds
- A Resource for Enthymeme Detection in Controversial Political Discourse
- How Low Can You Go? Active Learning for Sparse Model Discovery in the Ultra-Low-Data Limit
- A Controlled Study of Decoding-Time Truthfulness Methods on Instruction-Tuned LLMs
- TopoCap: Learning Topology-Agnostic Motion Priors for Monocular Video-to-Animation
- Towards Responsibly Non-Compliant Machines
- nD-RoPE: A Generalized RoPE for n-Dimensional Position Embedding
- PCA-Enhanced Adaptive NVAR Framework for High-Resolution Sea Surface Temperature Forecasting in the East Sea
- Time-Conditioned and Multi-Time Survival Prediction from 2D PET/CT Projections in Lung Cancer
- AGE-MIL: Anchor-Guided Evidence Learning for Patient-Level Prediction
- A Riemannian Approach to Low-Rank Optimal Transport
- Soft-Prompt Tuning for Fair and Efficient LLM Benchmark Evaluation
- Detecting Sensitive Personal Information in Japanese Pre-Training Corpora for Large Language Models
- Augmenting Molecular Language Models with Local n-gram Memory
- MSUE: Multi-Modal Soccer Understanding Expert
- ISAP-3D: Identity-Slot Aligned Part-Aware 3D Generation
- Debiasing Without Protected Attributes: Latent Concept Erasure from Textual Profiles
- FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents
- IntElicit: Eliciting and Assessing Contextualized Creativity via Dialogue Policy Optimization
- Efficient Time Series Clustering from Multiscale Reservoir Dynamics with Granular-Ball Anchoring Graph Optimization
- Categorical Robustness Assessment for Machine Learning based Network Intrusion Detection Systems
- Non-frontal face recognition using GANs and memristor-based classifiers
- "That's AI Slop, You Bot!" Studying Accusations, Evidence, and Credibility in Online Discourse Towards LLM-Generated Comments
- On the Limits of LLM-as-Judge for Scientific Novelty Assessment
- Tac-DINO: Learning Vision-Tactile Features with Patch Alignment
- StanceNakba Shared Task: Actor and Topic-Aware Stance Detection in Public Discourse
- Performance Analysis of YOLOv11 and YOLOv8 for Mixed Traffic Object Detection under Adverse Weather Conditions in Developing Countries
- Automating Geometry-Intensive Compliance Checking in BIM: Graph-Based Semantic Reasoning Framework
- Attention by Synchronization in Coupled Oscillator Networks
- Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence
- Simplicity Suffices for Parameter Noise Injection in Stochastic Gradient Descent
- MFEN:Multi-Frequency Expert Network for Visible-Infrared Person Re-ID
- Reliable Error Estimation for PINNs: Lower and Upper A Posteriori Bounds
- A Lightweight Multi-Agent Framework for Automated Concrete Barrier Design
- Vision Transformers for Face Recognition Need More Registers
- SpikeTAD: Spiking Neural Networks for End-to-End Temporal Action Detection
- Existential Indifference: Self-Nonpreservation as a Necessary Architectural Condition for Aligned Superintelligence (or: The Suicidal AI)
- Human-Enhanced Loop Modeling (HELM): Agent-Based Finite Element Modeling of Concrete Bridge Barriers
- ViT-FREE: Efficient Face Recognition via Early Exiting and Synthetic Adaptation
- Runtime Enforcement of Hybrid System Properties
- FitVTON: Fit-aware Virtual Try-On via Body-Garment Size Control
- Tabular Foundation Models for Clinical Survival Analysis via Survival-Aware Adaptation
- Bootstrapped Monitoring: Leveraging Transparent Reasoning to Oversee Stronger AI Agents
- Time-Series Foundation Model Embeddings for Remaining Useful Life Estimation
- From Nominal Intensity to Equivalent Rainfall: A Path-Based Credibility Evaluation Framework for Simulated Rainfall in Autonomous-Driving Perception Tests
- What Uncertainties Do We Need for Dynamical Systems?
- Efficient Multinomial Logistic Bandit via Frequent Directions
- Feature extraction for plant growth estimation
- HAMNO: A Hierarchical Adaptive Multi-scale Neural Operator with Physics-Informed Learning for Dynamical Systems
- Categorical Prior Lock-in: Why In-Context Learning Fails for Structured Data
- Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos
- Neuro-Relational Programs: Unifying Queries and Neural Computation over Structured Data
- uva-irlab-conv at SemEval-2026 Task 8: Multi-Turn RAG with Learned Sparse Retrieval and Listwise Reranking
- Semantic Grading of Written Answers in Low-Resource Language Bangla Using a Fine-Tuned Lightweight Language Model
- Frozen Multimodal Embeddings for AI-Assisted Interview Assessment of Personality and Cognitive Ability
- Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
- Corpus Augmentation for Sign Language Translation via LLM-Guided Video Stitching
- Lung-SRAD: Spectral-Aware Regularized Audio DASS with Dual-Axis Patch-Mix Contrastive Learning for Respiratory Sound Classification
- Characterizing Software Aging in GPU-Based LLM Serving Systems
- Quality Adaptive Angular Margin Learning for Respiratory Sound Classification
- NARRAS: Edge-Triggered Distributed Inference for CSI-Based Localization in Vehicular IoT Networks
- From Content to Knowledge: Lightning Fast Long-Video Understanding with Neural Knowledge Representations
- From Persistence to Survival: Hypothesis Testing, Effect Sizes and Vectorisation for Topological Features
- An Ontology-Guided Multi-Anchor Graph Retrieval Framework for Traffic Legal Liability Determination
- Embodied-BenchClaw: An Autonomous Multi-Agent System for Embodied Spatial Intelligence Benchmark Construction
- DuoBench: A Reproducible Benchmark for Bimanual Manipulation in Simulation and the Real World
- GraspLLM: Towards Zero-Shot Generalization on Text-Attributed Graphs with LLMs
- Notes2Skills: From Lab Notebooks to Certainty-Aware Scientific Agent Skills
- Wild3R: Feed-Forward 3D Gaussian Splatting from Unconstrained Sparse Photo Collection
- Image Quality Assessment of Identity Cards Using Measures from Open Face Image Quality
- SG2Loc: Sequential Visual Localization on 3D Scene Graphs
- Seeing Below the Limit of Detection: A Censored-Poisson Bayesian Latent-Growth Change-Point Detector (the Span Detector) for Serial ctDNA in HR+/HER2- Metastatic Breast Cancer
- I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue System
- AutoMine Solution for AV2 2026 Scenario Mining Challenge
- Modelling magnetic material properties with uncertainty-aware neural networks
- Agents All the Way Down; A Methodology for Building Custom AI Agents from Substrate to Production
- MemNovo: Look Back at the Spectrum for Balanced De Novo Peptide Sequencing from Mass Spectrometry
- Conformal Bayes under Label Shift: Post-Hoc Calibration vs. In-Training Adaptation
- RePAIR: Predictive Self-Supervised Representation Learning in Chess
- REACH: Interpretability-Driven Feature Identification and Architecture Compression for Multi-Channel Vehicular Channel Estimation
- StatefulDiscovery: Evidence-Calibrated Claim Formation in Open-Ended Scientific Discovery
- SheafStain: Sheaf-Theoretic Schr"odinger Bridge for Spatially and Biologically Coherent Virtual Staining
- TaskFusion: Continual Anomaly Detection for Heterogeneous Tabular Data
- Scene-Adaptive Nonlinear Tone Curves for Pseudo Ground-Truth Generation in Low-Light 3D Gaussian Splatting
- LASA: A Weak Supervision Method for Open-Vocabulary Scene Sketch Semantic Segmentation
- Towards Data-free and Training-free Compression for Speech Foundation Models Using Parameter Clustering
- Designing AI-Supported Focus Groups: A Role x Modality Playbook
- From Uniform to Learned Graph Priors: Diffusion for Structure Discovery
- Feature-Aligned Speech Watermarking for Robustness to Reconstruction Distortions
- Sparsified Kolmogorov-Arnold Networks for Interpretable Quantum State Tomography
- External Experience Serving in Production LLM Systems: A Deployment-Oriented Study of Quality-Cost Trade-offs
- TextHOI-3D: Text-to-3D Hand-Object Interaction via Discrete Multi-View Generation and Joint Mesh Optimization
- Toward Trustworthy AI: Multi-Target Adversarial Attacks and Robust Defenses for Continuous Data Summarization
- Multimodal Ordinal Modeling of Alzheimer's Disease Severity Using Structural MRI and Clinical Data
- Scalable Deep Learning Framework for Global High-Resolution Land Use Reconstruction
- Lius: Translation Model Based Instructional Lingustic Using Continual Instruction Tuning In Kupang Malay
- A Comprehensive Ecosystem for Open-Domain Customized Video Generation
- Seeing What Matters: Perceptual Wrapper with Common Randomness for 3D Gaussian Splatting
- What Limits Does Quantization Place on Dense Top-k Retrieval? A Theoretical Study
- Battery detection of XRay images using transfer learning
- Magnitude-Based Features for Multispecies Spatial Data
- Last-Iterate Convergence of Optimistic Multiplicative Weight Update
- When Do Data-Driven Systems Exhibit the Capability to Infer?
- Blind Dexterous Grasping via Real2Sim2Real Tactile Policy Learning
- Fast Speech Foundation Model Distillation Using Interleaved Stacking
- Automated Creativity Evaluation of Language Models Across Open-Ended Tasks
- RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning
- AnchorEdit: Maintaining Temporal Consistency in Multi-turn Image Editing via Causal Memory
- Time Series Analysis in Machine Learning
- Hey Chat, Can You Teach Me? Structuring Socratic Dialogue for Human Learning in the Wild
- UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA
- Multi-View In-Cabin Monitoring System for Public Transport Vehicles
- Renewable Lasso without Batch-Number Constraints: A Gradient-Enhanced Approach
- Machine-learning clustering of close-in exoplanet populations: links to pebble accretion
- ICA Lens: Interpreting Language Models Without Training Another Dictionary
- Substrate Asymmetry in User-Side Memory: A Diagnostic Framework
- Capacity-Constrained Online Convex Optimization with Delayed Feedback
- ERN-Net : Evolving Reason Node-Net for Document Binarization
- MedCTA: A Benchmark for Clinical Tool Agents
- A Data-Centric Framework for Detecting and Correcting Corrupted Labels
- Noise-Aware Framework for Correcting Corrupted Labels
- RankVR: Low-Rank Structure Perception and Value Recalibration for Robust Composed Image Retrieval
- DroneShield-AI: A Multi-Modal Sensor Fusion Framework for Real-Time Autonomous Drone Threat Detection, Behavioral Intent Classification, and Swarm Intelligence in Contested Airspace
- Parameter-Efficient Adapter Tuning for Tabular-Image Multimodal Learning
- UR-BERT: Scaling Text Encoders for Massively Multilingual TTS Through Universal Romanization and Speech Token Prediction
- Neural-Parameterized Cellular Automata for Wildfire Spread
- SpAArSIST: Sparsified AASIST for Efficient and Reliable Anti-Spoofing
- Higher-Order Token Interactions via Quantum Attention
- ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation
- Probabilistic Salary Prediction with Graph Attention Networks and a Mixture Density Network
- TreeSeeker: Tree-Structured Trial, Error, and Return in Deep Search
- Learning Instance-Adaptive Low-Rank Orthogonal Subspaces for Clothes-Changing Person Re-Identification
- Bergson: An Open Source Library for Data Attribution
- The Long Tail, Not the Front Page: Cold-Start Prediction of Crowd Highlight Salience
- DeepRHP: A Hybrid Variational Autoencoder for Designing Random Heteropolymers as Protein Mimics
- Structure-Preserving Neural Surrogates with Tractable Uncertainty Quantification
- Tree-Structured Orthonormal Decomposition of the Aitchison Simplex
- Motion Reinforces Appearance: RGB-Skeleton Gated Residual Fusion for Micro-Gesture Online Recognition
- Improving Cross-Format Robustness in Language Models with Multi-Format Training
- 3-Key-Input: Exploring the Theoretical Minimum Keys for Text Entry
- TAROT: Task-Adaptive Refinement of LLM-prior Graphs for Few-shot Tabular Learning
- Evaluating Bias in Phoneme-Based Automatic Speech Recognition Systems: An Analysis of IPA Transcription Models
- Sovereign Assurance Boundary: Certificate-Bound Admission for Agentic Infrastructure
- Integral Formulation of QENDy for Robust Nonlinear System Identification
- LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition
- Family-Aware Residual Architecture for Predicting Quantum Circuit Simulation Performance
- Precision-Aware Illumination-Disentangled Vision Transformer for Spacecraft 6D Pose Estimation
- DeMix: Debugging Training Data with Mixed Data Error Types by Investigating Influence Vectors
- Information-Theoretic Decomposition for Multimodal Interaction Learning
- Factions Within, Uncertain Across: Within-Document Reader Sub-Groups in Social Highlighting
- Frozen Foundation-Model Embeddings Discard Small-Lesion Signal in Chest Radiography: Implications for Pre-Deployment Evaluation
- On Aligning Hierarchical Standardized Embedding for Audio-visual Generalized Zero-shot Learning
- Spatially Coupled Phase-to-Depth Calibration for Fringe Projection Profilometry
- Model-Based and Data-Driven Hierarchical Control and Topology Co-Design for Robust Networked Systems
- Kuramoto Attention: Synchronizing Self-Attention on the Torus
- Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching
- Contactless 3D Human Body Measurement Using Depth Cameras for Smart Health Monitoring
- Range-Aware Bayesian Optimization for Discovering Diverse Designs within Target Property Windows
- Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception
- Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records
- Cross-Modal Benchmarking for Robotic Perception in Natural Environments
- GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs
- Privacy-Preserving Federated Autoencoder for ECG Anomaly Detection on Edge Devices
- End-to-End Machine Learning for Depressive State Classification via EEG and fNIRS
- APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations
- Teaching Diffusion to Speculate Left-to-Right
- Pretrained self-supervised speech models can recognize unseen consonants
- MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning
- Urban Heat MiniCubes: An AI-Ready dataset for urban heat research
- AI Researchers Must Help Lead Arms Control to Mitigate Military AI Risks
- Measuring language complexity from hierarchical reuse of recurring patterns
- XPR: An Extensible Cross-Platform Point-Based Differentiable Renderer