Papers
Wed 1 Jul 2026
511 papers
- BudgetBench: A Budget-Tiered Protocol and Pilot Harness for Memory Strategy Evaluation in Local Large Language Model AgentsLLM agents and tool use → Agent memory systems
- A Governance Methodology Layer for AI-Assisted Software Development: Defect Taxonomy, Controlled Ablation, and a Test of Process-Over-CapabilityLLM agents and tool use → Software engineering coding agents
- R2Adapter: A Routing and Rewriting Adapter for Efficient Hybrid RAGRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Probe Generalization as Subspace Selection for OOD Deception DetectionMechanistic interpretability → Probing deception, bias and beliefs
- SciReC: Diagnostic Evaluation of Multimodal, Multi-Turn Relational Reasoning with Adaptive InteractionLLM reasoning → Multimodal reasoning
- LitReview Arena: Evaluating Literature Review Agents with Battle-Style Peer Review PlatformLLM agents and tool use → Web, search, and research agents
- Nexus: Depth-Adaptive KV-Cache Splicing and Retrieval-Decoupled Tool Routing for Agentic LLMs on Unified MemoryLLM agents and tool use → Software engineering coding agents +1
- Knowledge-Graph-Gated Defactualization for Style-Controllable and Fact-Preserving Generation in Agentic Conversational AILLM agents and tool use → General LLM agent frameworks and benchmarks +1
- You Are What You Prompt: Prompt Quality, Domain Shift, and Uncertainty in Agrifood Vision-Language ModelsMultimodal LLMs / vision-language models → Agricultural vision-language models
- Think in Latent, Explain in Language: Self-Explainable Latent ReasoningLLM reasoning → Test-time compute and efficient thinking
- Navigation Alone Is Not Enough: Evaluating Explanatory Assistive UI AgentsLLM agents and tool use → GUI and mobile agents
- Building Fast, Evaluating Slow: Pipeline Choices Dominate Autointerpretability Score VarianceMechanistic interpretability → SAE features and their applications
- On the Limits of Support-Preserving Alignment and Bounded FilteringLLM safety and security → Safety alignment, refusal and guardrails
- Precomputing the Future-Offset Average in TriAttentionLLM reasoning → Test-time compute and efficient thinking +1
- In-Context Reinforcement Learning under Non-Stationarity: A SurveyDeep reinforcement learning methods → Deep RL algorithms and representations
- CHARLIE: An On-Premise Multi-Agent Retrieval-Augmented Generation System for Evidential Reasoning in Forensic ScienceRetrieval-augmented generation → Agentic RAG, agents and memory
- TAG: A Lightweight Framework for Test-Driven Agentic Artifact GenerationLLM agents and tool use → Software engineering coding agents
- Fusion: A Framework for Unified Sequential Token AdaptatIon in VisiOn TraNsformersEfficient LLM inference and serving → Token pruning and merging for ViTs
- Latent Visual Cache for Video ReasoningMultimodal LLMs / vision-language models → Video understanding with MLLMs
- ChainSWE: Benchmarking Coding Agents on Multi-Bug Software MaintenanceLLM agents and tool use → Software engineering coding agents
- DynaWM: A Base-VLA-Guided World Foundation Model for Moving-Object ManipulationVision-language-action models → 3D and spatial-aware VLA
- AgentLTL: A Trace-Verification Framework for Measuring, Enforcing, and Training Procedural Compliance in Tool-Using LLM AgentsLLM agents and tool use → Tool learning and function calling
- Evaluating Agentic Harness Systems for Autonomous Computational PathologyLLM agents and tool use → Medical and scientific domain agents
- Attributing Structured-Output Gains in Function Calling: Interface Alignment versus Procedural TransferLLM agents and tool use → Agent skill learning and evolution
- Token-level Response-visual Attention Guidance for Multimodal LLMs Knowledge DistillationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- H-OPD: Confidence Aware Heterogeneous Multi-Teacher Multimodal On-policy DistillationKnowledge distillation → Multimodal distillation
- Homer: Understanding Long-form Videos with Hierarchical Memory and Agentic ReasoningLLM reasoning → Multimodal reasoning +2
- Evaluating Intellectual Property Guardrails of Generative Image Models: A Technical ReportLLM safety and security → Watermarking generated content and models
- ESC: Emotional Self-Correction for Reliable Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Certified World Models as Sensing Clocks: Drift-Aware Deadlines for Active PerceptionWorld models → Latent predictive world models
- OPINE-World: Programmatic World Modeling with Ontology-error-Prioritized Interactive Exploration for ARC-AGI-3World models → World models for language agents
- Wind-Aware Reinforcement Learning Control of a Small Quadrotor Using Learned Onboard Wind Estimation in Simulated Atmospheric TurbulenceDeep reinforcement learning methods → RL for robot navigation and UAV control
- Mean Field Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Multi-Head Recurrent Memory AgentsLLM agents and tool use → Agent memory systems
- The risk of KV cache compressionEfficient LLM inference and serving → KV cache optimization
- Overthink-Triggered Slowdown Attacks on LVLM-Based Robotic SystemsLLM reasoning → Reasoning for agents, planning and code +1
- Revisiting Chain-of-Thought Reasoning under Limited Supervision: Semi-supervised Chain-of-Thought LearningLLM reasoning → Prompting and chain-of-thought reasoning
- Janus: a Playground for User-Involved Agentic Permission ManagementLLM agents and tool use → Agent threats, guardrails and governance
- The Agentic Garden of Forking PathsLLM agents and tool use → Social simulation and multi-agent debate
- Disentangling Pictorial Cue Understanding from Language Bias in VLMs via Depth Ordering TaskMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- From Monolingual to Multilingual: Evaluating Mamba for ASR in South African LanguagesState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Don't Let Gains FADE: Breaking Down Policy Gradient Weights in RLLLM reasoning → Reinforcement learning for reasoning +1
- Procedural Memory Distillation: Online Reflection for Self-Improving Language ModelsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Accuracy and Cost Claims Do Not Survive Re-Execution in Agentic VideoQALLM agents and tool use → Multimodal and embodied agents
- Beyond Next-Token Prediction: An RLVR Proof of Concept for Tool-Use Agents on Atlassian WorkflowsLLM agents and tool use → Reinforcement learning for LLM agents
- From Anatomy to Smells: An Empirical Study of SKILL.md in Agent SkillsLLM agents and tool use → Agent skill learning and evolution
- On the Utility and Factual Reliability of Pruned Mixture-of-Experts Models in the Biomedical DomainMixture-of-experts → Medical and biomedical MoE +1
- FaithMed: Training LLMs For Faithful Evidence-Based Medical ReasoningLLM reasoning → Clinical and biomedical applications
- Discrete Diffusion Language Models for Interactive Radiology Report DraftingDiffusion models → Medical imaging and segmentation
- CreativityNeuro: Steering Language Model Weights to Improve Divergent Thinking and Reduce Mode CollapseLLM reasoning → Reasoning benchmarks and evaluation
- IsoSci: A Benchmark of Isomorphic Cross-Domain Science Problems for Evaluating Reasoning versus Knowledge Retrieval in LLMsLLM reasoning → Knowledge- and tool-augmented reasoning
- Agent4cs: A Multi-agent System for Code Summarization in Large Hierarchical CodebasesLLM agents and tool use → Software engineering coding agents
- Risk Architecture for AI-Native Engineering Teams: An Organizational Framework for Agentic System GovernanceLLM agents and tool use → Agent threats, guardrails and governance
- Adoption and Impact of Command-Line AI Coding Agents: A Study of Microsoft's Early 2026 Rollout of Claude Code and GitHub Copilot CLILLM agents and tool use → Software engineering coding agents
- The Rollout Infrastructure Tax in Coding-Agent Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Multi-Objective Exploration and Preference Optimization via Mutual InformationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- RusFinChain: A Russian Benchmark for Verifiable Chain-of-Thought Reasoning in Finance with Fuzzy-Aligned EvaluationLLM reasoning → Reasoning for agents, planning and code
- CommonRoad-Game: A Human-in-the-Loop Simulation Framework for Autonomous DrivingEnd-to-end autonomous driving → Cooperative and V2X driving
- Neuro-Symbolic Safety Guidance for Vision-Language-Action Models via Constrained Flow MatchingVision-language-action models → Safety and adversarial attacks +1
- MapDreamer: Aerial Imagery Conditioned Latent Diffusion for Lane-Level Map GenerationDiffusion models → Diffusion and flow policies for robotics
- Auto-FL-Research: Agentic Search for Federated Learning AlgorithmsLLM agents and tool use → Agentic AI for wireless networks
- Mechanistic Interpretability and Causal Feature Steering of Neural Quantum States via Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- HYPIC: Accelerating Hybrid-Attention LLM Serving with Position-Independent CachingRetrieval-augmented generation → Generation and context integration +1
- WaveLander: A Generalizable Hierarchical Control Framework for UAV Landing on Wave-Disturbed Platforms via Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Cognitive Firewall: A Proactive, Zero-Trust, Multi-Gate Framework for LLM SafetyLLM safety and security → Safety alignment, refusal and guardrails
- Language-Critique Imitation Learning from Suboptimal DemonstrationsOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Theoria: Rewrite-Acceptability Verification over Informal Reasoning StatesLLM reasoning → Mathematical reasoning
- RepoRescue: An Empirical Study of LLM Agents on Whole-Repository Compatibility RescueLLM agents and tool use → Software engineering coding agents
- FurnitureVLA: Learning Long-Horizon Bimanual Furniture Assembly with Vision-Language-Action ModelVision-language-action models → Generalist VLA models and benchmarks
- Are Performance-Optimization Benchmarks Reliably Measuring Coding Agents?LLM agents and tool use → Software engineering coding agents
- Perceive-to-Reason: Decoupling Perception and Reasoning for Fine-Grained Visual ReasoningLLM reasoning → Multimodal reasoning +1
- Right in the Right Way: LM Training with Verifiable Rewards and Human DemonstrationsLLM reasoning → Reinforcement learning for reasoning
- QuasiMoTTo: Quasi-Monte Carlo Test-Time ScalingLLM reasoning → Test-time compute and efficient thinking
- Diffusion-GR2: Diffusion Generative Reasoning Re-rankerLLM reasoning → LLM reasoning for recommendation +2
- Adversarial Pragmatics for AI Safety Evaluation: A Diagnostic Framework and Seed Benchmark for Language-Mediated ControlLLM agents and tool use → Agent threats, guardrails and governance
- EquiSteer: Cross-Attention Steering Towards a Fairer Text-Guided Image GenerationDiffusion models → Image generation, text-to-image and editing
- Sequentially-Controlled Interactive Multi-Particle Flow-Maps for Online Feedback-Driven SearchLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Skills Are Not Islands: Measuring Dependency and Risk in Agent Skill Supply ChainsLLM agents and tool use → Agent skill learning and evolution
- SynLaD: Latent Diffusion for Generating Synthesizable Molecules Conditioned on 3D Pharmacophore ProfilesDiffusion models → Flow matching, time series and science
- SAGE: Structured Agentic Graph Editing for Software DiagramsLLM agents and tool use → Multimodal and embodied agents
- Cheap Code, Costly Judgment: A Case Study on Governable Agentic Software EngineeringLLM agents and tool use → Software engineering coding agents
- LongVQUBench: Benchmarking Long-Term Video Quality Understanding of Vision-Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool UseLLM agents and tool use → General LLM agent frameworks and benchmarks
- Staleness-Learning Rate Scaling Laws for Asynchronous RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Where Am I? Semantic Map Grounding via Vision-Language Models for Multi-Modal LocalizationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Message Passing Enables Efficient ReasoningLLM reasoning → Test-time compute and efficient thinking
- MemSyco-Bench: Benchmarking Sycophancy in Agent MemoryLLM agents and tool use → Agent memory systems
- GSRQ: Gain-Shape Residual Quantization for Sub-1-bit KV CacheEfficient LLM inference and serving → KV cache quantization
- Agentic generation of verifiable rules for deterministic, self-expanding reaction classificationLLM agents and tool use → Medical and scientific domain agents
- RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy EvaluationWorld models → Embodied and robot world models +1
- GeoSearcher: Anchor-Guided Progressive Reasoning for Remote Sensing Visual Grounding with Process SupervisionLLM reasoning → Spatial and embodied reasoning +1
- GenAU: Language-Grounded Industrial Anomaly Understanding with Vision-Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Conversable Complexity: Agentic LLM Collectives as Interpretable SubstratesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Behavior-Adaptive Conversational Agents: Toward a Fluid Personality FrameworkLLM agents and tool use → Social simulation and multi-agent debate
- The Model Organism Lottery: Model Organism Interpretability Strongly Depends on Training MethodologyMechanistic interpretability → Knowledge and representations inside LLMs
- SWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction TestsLLM agents and tool use → Software engineering coding agents
- SenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned EnvironmentsLLM agents and tool use → Multimodal and embodied agents
- AVSR-Diff: Scale-Agnostic Diffusion Priors for Temporally Consistent Arbitrary-Scale Video Super-ResolutionDiffusion models → Inverse problems and image restoration
- Bayesian Uncertainty Propagation for Agentic RAG Pipelines: A Proof-of-Concept Study on Multi-Hop Question AnsweringRetrieval-augmented generation → Agentic RAG, agents and memory +1
- A Geometric Perspective on Composable Emotion Steering in Text-to-Speech ModelsMechanistic interpretability → Activation steering methods
All 511
- From Runtime Records to Legal Findings: An Evidentiary-Adequacy Criterion for Agentic AI OversightLLM agents and tool use → Agent threats, guardrails and governance
- Leveraging LLM-Based Agentic Systems to Generate Quantum Applications for Test OptimizationLLM agents and tool use → Medical and scientific domain agents
- Post-Training Pruning for Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual RecombinationLLM reasoning → Clinical and biomedical applications +1
- From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form NarrativesLLM agents and tool use → Multimodal and embodied agents
- Valdi: Value Diffusion World ModelsWorld models → Latent predictive world models +1
- From Registry to Repository: How AI Agent Skills Are Written, Adapted, and MaintainedLLM agents and tool use → Software engineering coding agents
- Calibrating the Instrument: Controllability of an LLM-Driven Synthetic PopulationLLM agents and tool use → Social simulation and multi-agent debate
- Beyond Document Grounding: Span-Level Hallucination Detection over Code, Tool Output, and DocumentsRetrieval-augmented generation → Hallucination detection in RAG
- DeWorldSG: Depth-Aware 3D Semantic Scene Graph Generation via World-Model PriorsWorld models → Video-generation world models and simulators
- OmniView-Space: Reinforcing Spatial Reasoning via Multi-Perspective Spatial MappingLLM reasoning → Spatial and embodied reasoning +1
- CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- From World Models to World Action Models: A Concise Tutorial for RoboticsWorld models → World models for language agents
- Exploring the Semantic Gap in Agentic Data Systems: A Formative Study of Operationalization Failures in Analytical WorkflowsLLM agents and tool use → Web, search, and research agents
- Knowledge-Enhanced Agentic Vulnerability RepairLLM agents and tool use → Agent threats, guardrails and governance
- Training-Free Debiasing of Diffusion Models via CLIP-Guided Denoising OptimizationDiffusion models → Image generation, text-to-image and editing
- Towards High-Resolution Visual Perception via Hierarchical Entity ExplorationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-trainingDeep reinforcement learning methods → Deep RL algorithms and representations
- Local Motion Matters: A Deconstruct-Recompose Paradigm for Reinforcement Learning Pre-training from VideosDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Task-Relevant Representation Decoupling for Visual Reinforcement Learning GeneralizationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- LeVLJEPA: End-to-End Vision-Language Pretraining Without NegativesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- SpiralFovea: Input-Adaptive Foveated Tokenization as a Third Lever of Resource-Adaptive InferenceMixture-of-experts → Vision mixture-of-experts +1
- Accelerating Discrete Diffusion Models with Parallel-In-Time SamplingDiffusion models → Diffusion foundations and sampling
- Decoupled Guidance: Disentangling Subject and Context Pathways in Text-to-Image PersonalizationDiffusion models → Image generation, text-to-image and editing
- MosaicKV: Serving Long-Context LLM with Dynamic Two-D KV Cache CompressionEfficient LLM inference and serving → KV cache optimization
- Recall Is Not Enough: A Reader-Context Diagnostic for Budget-Constrained Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Towards Memory-Efficient Autoregressive Video Generation via Instance-Specific Parametric AbsorptionEfficient LLM inference and serving → Fast autoregressive visual generation
- Self-GC: Self-Governing Context for Long-Horizon LLM AgentsLLM agents and tool use → Agent memory systems
- M2Note: Continual Evolution of Vision Language Models via Mistake Notebook LearningLLM reasoning → Multimodal reasoning
- AdaBoosting Text Prompts for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- ABot-M0.5: Unified Mobility-and-Manipulation World Action ModelWorld models → Embodied and robot world models
- Path Planning in Physically Viable World ModelsWorld models → World models for navigation
- Domain Arithmetic: One-Shot VLA Adaptation under Environmental ShiftsVision-language-action models → Generalist VLA models and benchmarks
- Linguistic Relative Policy Optimization for Video Anomaly ReasoningLLM reasoning → Chain-of-thought reasoning for driving +1
- Not All Prediction Targets Keep Training-Free Diffusion Guidance on the ManifoldDiffusion models → Diffusion foundations and sampling
- Coachable agents for interactive gameplayLLM agents and tool use → Reinforcement learning for LLM agents +1
- Learning-based control of a single-DOF Aero systemDeep reinforcement learning methods → RL for robot navigation and UAV control
- Loss Smoothing for Stable Adaptation Under Distribution ShiftDeep reinforcement learning methods → Deep RL algorithms and representations
- AGI Maze as a Benchmark Framework for World-Modeling AgentsWorld models → World models for language agents +1
- Retrieved Images as Visual Thought: Training-Free Multimodal In-Context Learning for the Open-vs-Closed GapLLM reasoning → Multimodal reasoning
- Auditing Forgetting in Limited Memory Language ModelsLLM safety and security → Machine unlearning
- Multi-Turn Agentic Scientific Literature Search via Workflow InductionLLM agents and tool use → Web, search, and research agents
- Low Perplexity is Repetition: A One-Dimensional Self-Conditioning Attractor in Continuous Diffusion LMsDiffusion models → Discrete and text diffusion
- HARC: Coupling Harmfulness and Refusal Directions for Robust Safety AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Dual-Confidence Contrastive Decoding for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- EgoGapBench: Benchmarking Egocentric Action Selection in Multi-Agent ScenesLLM agents and tool use → Multimodal and embodied agents
- GEAR-Seg: A Grounded Explainable Agent for Reasoning Segmentation and Data EngineLLM reasoning → Multimodal reasoning +1
- Flow-Map GRPO: Reinforcement Learning for Few-Step Flow-Map Generators via Anchored Stochastic CompositionLLM reasoning → Reinforcement learning for reasoning +1
- Learning from Demonstration via Spatiotemporal Tubes for Unknown Euler-Lagrange SystemsOffline RL and imitation learning from data → Robot learning from demonstration
- Active-GRPO: Adaptive Imitation and Self-Improving Reasoning for Molecular OptimizationLLM reasoning → Reinforcement learning for reasoning +1
- AnF-DiffPET: Anatomy- and Frequency-Guided Diffusion for PET/CT DenoisingDiffusion models → Medical imaging and segmentation
- When RAG Meets Query Planning: Logical Query Trees for Resolving Exploratory Reasoning ProblemsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- A Task-State Representation for Long-Horizon Mobile GUI AgentsLLM agents and tool use → GUI and mobile agents
- MindEdit-Bench: Benchmarking Object-Level Counterfactual Spatial Reasoning in VLMs from In-the-Wild PhotosLLM reasoning → Spatial and embodied reasoning +1
- PAPA: Online Personalized Active Preference AlignmentDiffusion models → Diffusion and flow policies for robotics +1
- Efficient Multilingual Reasoning Transfer via Progressive Code-SwitchingLLM reasoning → Reasoning benchmarks and evaluation
- VLM-AR3L: Vision-Language Models for Absolute and Relative Rewards in Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Know When to Stop: Segment-Level Credit Assignment for Reducing OverthinkingLLM reasoning → Test-time compute and efficient thinking
- Beyond the Prompt: Jailbreaking Function-Calling LLMs via Simulated Moderation TracesLLM agents and tool use → Agent threats, guardrails and governance +1
- ELDR: Expert-Locality-Aware Decode Routing for PD-Disaggregated MoE ServingMixture-of-experts → Efficient MoE training and inference systems +1
- StochasT: Learning with Stochastic Turn Depth for Visual Instruction TuningLLM reasoning → Multimodal reasoning +1
- Multimodal Continuous Reasoning via Asymmetric Mutual Variational LearningLLM reasoning → Multimodal reasoning +1
- Multi-scale Mixture of World Models for Embodied Agents in Evolving EnvironmentsWorld models → World models for language agents +1
- Agri-SAGE: Simulation-Grounded Multi-Agent LLM for Context-Aware Agricultural Advisory GenerationLLM agents and tool use → Multimodal and embodied agents
- Gauging, Measuring, and Controlling Critic Complexity in Actor-Critic Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Understanding Why Language Models Hallucinate: Testing Reasoning Against PriorsLLM reasoning → Hallucination detection and mitigation
- Learning Gait-Aware Quadruped Locomotion with Temporal Logic SpecificationsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Minos: A Multi-Agent Collaborative Framework for Provenance-Based Backward TrackingLLM agents and tool use → Agent threats, guardrails and governance
- PHREEQC-MCQ-200: A Diagnostic Benchmark for Tool-Augmented Scientific Simulator AgentsLLM agents and tool use → Web, search, and research agents
- Information-Regularized Attention for Visual-Centric ReasoningLLM reasoning → Multimodal reasoning +1
- Selective Test-Time Debiasing for CLIP via Reward GatingMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- KidnapRAG: A Black-Box Attack for Hijacking Reasoning in Agentic Retrieval-Augmented Generation SystemsRetrieval-augmented generation → Privacy and security of RAG +1
- Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural DenoisingLLM agents and tool use → Multimodal and embodied agents
- The Illusion of High Utility in Safety Alignment of Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +2
- DriveVer: Lightweight Trajectory Evaluator as Test-Time Verifier for Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- When Classic Cache Policies Fail: Learning-Augmented Replacement for Semantic Retrieval BuffersLLM agents and tool use → Agent memory systems
- Learning Generalizable Skill Policy with Data-Efficient Unsupervised RLDeep reinforcement learning methods → Deep RL algorithms and representations
- Vitality-Aware Compression for Efficient Image-to-Shape Diffusion TransformersDiffusion models → 3D, point cloud and scene generation
- MEPA: Multi-Scale Representation Alignment for Visual Autoregressive Modeling with Mixture of ExpertsMixture-of-experts → Vision mixture-of-experts
- Enhancing Flow Matching with A Unified Guidance Framework for Efficient and Robust Speech SynthesisDiffusion models → Audio, speech and music
- ReShift: Aha-Moment-Driven Reasoning-Level Backdoor Attacks on Vision-Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- Personalized Object Identification and Localization via In-Context Inference with Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Unleashing More Actions via Action Compositional Training for VLA ModelsVision-language-action models → Human-video and latent-action pretraining
- Registry-Governed Agent Lifecycle:Completing EDDOps with Evaluation-DrivenRegistration, Promotion, and Retirement on AWS AgentCoreLLM agents and tool use → General LLM agent frameworks and benchmarks
- DiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Managed Autonomy at Runtime: Gear-Based Safety and Governance for Single- and Multi-Agent Cyber-Physical SystemsLLM agents and tool use → Agent threats, guardrails and governance
- (A)I Sees What You Don't: Exploiting New Attack Surfaces in Third-Party Mobile AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data CollectionDeep reinforcement learning methods → RL for robot navigation and UAV control
- RetailSMV: Exocentric vs. Egocentric Adaptation of Foundation Video World Models in RetailWorld models → Video-generation world models and simulators +1
- Mapping the Evaluation Frontier: An Empirical Survey of the Bias-Reliability Tradeoff Across Eleven Evaluator-Agent ConditionsLLM agents and tool use → General LLM agent frameworks and benchmarks
- EPC: A Standardized Protocol for Measuring Evaluator Preference Dynamics in LLM Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Rosetta: Composable Native Multimodal PretrainingMixture-of-experts → Multimodal MoE models
- What's Hidden Matters: Identifying Planning-Critical Occluded Agents using Vision-Language ModelsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Optimizing AI Inference Across the Deployment Stack
- Physics-informed neural networks by Gradient-Guided Gaussian Adaptive Sampling (3GAS-PINNs)
- Counterexamples as Feedback for Agent Self-Correction
- Accelerating LLM Inference via Vector Index Based Output Embeddings
- Explainable Artificial Intelligence for Customer Churn Prediction in Telecommunications: A Framework for CRM Integration
- Leveraging Large Language Models for Systematic Literature Review of Disease Spread Models
- Methodological and Conceptual Framework for 5D Multi-Table Analysis: A Unified Approach for Complex Data Reuse
- Self-Supervised Speech Representations Track Spoken Language Convergence to Adult Models in Infants and Children Who Are Deaf/Hard-of-Hearing
- A Factorial Ablation of a Speech-to-SFT Pipeline: Differential Effects on Data Quality and Downstream Transfer
- Demo: Real-time Generative Multicasting with On-Device Intent-aware Semantic Decomposition
- EweAcT: Ewe behaviour aligned to accelerometer data for activity monitoring in extensive grazing systems
- Automatic Detection of Deaths from Social Networking Sites
- JudgeArena: A Unified Framework for Reproducible LLM-Judge Evaluation
- Uncertainty-Aware Simulation-Based Inference for Operations Research with Large Language Models
- STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification
- SUM: Unified Geometric Surgery on Spatio-Temporal Adaptation Vectors for Federated Class Incremental Learning
- Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule
- Challenges of Explainability in Continual Learning for Time Series Forecasting
- Air Quality Arena: A Large-Scale Multi-Region Ground Monitoring Dataset and Benchmark for Air Quality Forecasting with Time-Series Foundation Models
- CruiseBench: A Real-Flight-Aligned N-CMAPSS Benchmark for Engine RUL Prediction
- Bayesian Wind Tunnels for Model Selection
- Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions
- Reliability-Aware Hard--Soft Physics-Informed Neural Networks for Robust Learning of Challenging Partial Differential Equations
- AV-JEPA: Extending LeJEPA to Audio-Visual Self-Supervised Learning
- Privacy-Preserving Industrial Ergonomics: mmWave-Based Automated REBA Scoring and Pose Estimation
- Knowledge-Centric Information Systems
- Towards transferable lightweight neuromorphic computing through a model-free temporal-switch framework
- Scaling Weisfeiler-Leman Expressiveness Analysis to Massive Graphs with GPUs
- CV-DCLR: Causal-Visual Dynamic Label Refinement for Robust Zero-Shot Learning
- CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness
- An automated method of identifying incorrectly labelled images based on the sequences of loss functions of deep learning networks
- CPR: Chained Perceptual Refinement for Coarse-to-Fine Medical Image Classification
- The Moving Target: A Longitudinal Audit of Trust-Benchmark Score Drift Across Open-Source Chat LLM Release Lines
- Auditing the Audit: Five Failure Modes in Benchmark-Validity Audits
- Reliability-Aware CT-MRI Registration: A Quality Engineering Framework with Stability Analysis and Risk Classification
- RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation
- Learning Effective Soliton Dynamics from Scattering Data
- MMAO-Cls: Metabolic Multi-Agent Optimization for Joint Feature Selection and Classifier Tuning
- Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale
- Hidden-Shot: Towards One-Shot Task Generalization for Low-Level Vision Generalist Models
- IntentTune: Using user demand and personalization to resolve "unknown" query intents for e-commerce search
- Quantifying the Uncertainty of Blindly Estimated Room Embeddings Using a Dispersion-Calibrated Score
- Robust and Explainable 3D Mode Shape Recognition Using Region-Aware Graph Neural Networks
- Parameter Golf: What Really Works?
- Anti-Prompt: Image Protection against Text-Guided Image-to-Video Generation
- Towards Learning Representations of Policies in Two-Player Zero-Sum Imperfect-Information Games
- Unveiling the Non-Monotonic Effect of Privacy on Generalization under Byzantine Robustness
- How to Allocate Your Tokens? Scaling Laws with Training Steps and Batch Size
- Fully Unsupervised Detection of Physical Contacts on Subsea Cables via State-of-Polarization Monitoring
- Boundary-Aware Quantization: Finite-Scale Decision Geometry of Neural Classifiers
- Class-Grouped Normalized Momentum and Faster Hyperparameter Exploration to Tackle Class Imbalance in Federated Learning
- World Feedback for Clinical Agents: Diagnosing RL in FHIR Environments
- Comparing Architectures for Supervised Political Scaling
- Grounded Optimization: A Layered Engineering Framework for Reducing LLM Hallucination in Automated Personal Document Rewriting
- Ember: A Kilobyte-State Optimizer for Token Interfaces
- Geometry-Aware R-Structured Kolmogorov-Arnold Networks
- Hamm-Grams: An Algorithm for Mining Regular Expressions of Bytes
- From Forgeries to Foundation Models: A Systematic Survey of Identity Document Attack and Detection
- How Much Future Helps? A Controlled Study of Future-Privileged Supervision for Causal Egocentric Gaze Estimation
- Sign in the Air to Unlock: An Interface for authentication in Virtual and Augmented Reality Powered by Point-Voxel Cross-Attention Network
- When Should Service Agents Reconsider? Difficulty-Routed Control in Customer-Service Operations
- MultAttnAttrib: Training-Free Multimodal Attribution in Long Document Question Answering
- Conditional Inference Trees and Forests for Feature Selection
- Beyond Heatmaps: Unsupervised Concept-Graph Reasoning for Interpretable Visual Explanation
- BIFROST: Bridging Invariant Feature Representation for Observation-space Sim2Real Transfer
- GPUAlert: A Zero-Instrumentation Process-Boundary Monitor for Diagnosing GPU Training-Job Failures
- Spin-Weighted Spherical Harmonics Enable Complete and Scalable E(3)-Equivariant Networks
- NeuroBridge: Bridging Multi-Task MRI Knowledge for Neurodegenerative Disease Diagnosis
- A global predicted-fMRI drive signal from TRIBE does not predict YouTube replay heatmaps
- Computer Vision for Wildlife Monitoring: Detecting Brown Howler Monkeys using YOLO
- Rethinking Generic Object Tracking Toward Human-Level Perceptual Intelligence
- The Wiola Architecture for Efficient Small Language Models
- How Should Transformers Encode Numeric Values in Electronic Health Records?
- Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search
- MIBE: Multi-subject Interaction Benchmark and Evaluator for Personalized Image Generation
- AI-enabled gravitational-waves searches for binary neutron stars at optimal sensitivity
- Multi-modal Rail Crossing Safety Analysis
- Enerzyme: A Framework for Efficient Training of Reactive Neural Network Potentials for Enzyme Catalysis with Application to Methyltransferases
- Spatial-Temporal Expert Learning for Video-based Person Re-identification
- TurnNat: Automatic Evaluation of Turn-Taking Naturalness in Dyadic Spoken Dialogue
- Ravines in quantum cost landscapes: opportunities for improved VQA predictions
- Black-Box Inference of LLM Architectural Properties with Restrictive API Access
- KathaTrace: Diagnosing Semantic Trajectory Collapse in Generated Visual Narratives
- From Approximation to Emergence: A Theory of Deep Learning
- A Novel Machine Learning Approach for Central Nervous System Tumor Classification from DNA Methylation
- PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations
- Generative AI and Federated Learning for Intrusion Detection Systems: A Survey
- CPG-PAD: Concept-Informed Prompts Guided Presentation Attack Detection
- Few-Shot Open-Set Audio Classification Using Attention Information-Fused Prototypes
- CNN Models for Microphone Array Covariance Matrix Upsampling and Acoustic Imaging
- RuleChef: Grounding LLM Task Knowledge in Human-Editable Rules
- AnchorSplat: Fast and Structure Consistent Detail Synthesis for Gaussian Splatting
- Adaptive Companionship for Group-Following Robots: Handling Dynamically Changing Group Formations
- IonSense-QKG: A Quantum-Readiness Metadata Framework for Lithium-Ion Battery Dataset Discovery
- Scaling Laws for Grid-Based Approximate Nearest Neighbor Search in High Dimensions
- Domain Knowledge Based Temporal-Spatial Graph Convolution Network for ECG Recognition
- Fixed-Set Robustness in Programming by Example: Example Corruption and Semantic Partition Recovery
- Itextsuperscript2RiMA: Spectral Riemannian Representation with Temporal Attention for Mental Stress Detection based on EEG Signals
- Multilayer Q-Matrix-Embedded Neural Network for Cognitive Diagnosis (M-QCDNet): Structure-Aware Deep Learning Architecture for Psychometric Interpretability
- Embedding Inference Attack
- Measuring the Gap Between Human and LLM Research Ideas
- Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training
- AutoMem: Automated Learning of Memory as a Cognitive Skill
- Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models
- The State-Prediction Separation Hypothesis
- Distill to Detect: Exposing Stealth Biases in LLMs through Cartridge Distillation
- Linkify: Learning from Interface-Augmented Assembly Graphs
- TiRex-2: Generalizing TiRex to Multivariate Data and Streaming
- GPU-Parallel Linearization Error Bounds for Real-Time Robust Optimal Control of Nonlinear and Neural Network Dynamics
- World from Motion: Generative Dynamic Gaussian Reconstruction from Monocular Video
- Quantum vs. Classical Machine Learning: A Unified Empirical Comparison
- Optimal Resource Utilization for Autonomous Laboratory Orchestrators
- Neural Certificate Pricing for Combinatorial Optimization Problems
- High-dimensional Embedding Prior for Noisy K-space Domain MRIReconstruction
- Decision-Aware Training for Sample-Based Generative Models
- Structured 4D Latent Predictive Model for Robot Planning
- Efficient Compression of Structured and Unstructured Volumes via Learned 3D Gaussian Representation
- Disentangling Speaker and Language Effects in Cross-Lingual Speaker Verification for Iberian Languages
- AGC-Bench: Measuring Artificial General Creativity
- Hierarchical Self-Supervised Representation Learning Framework for Multivariate Time Series Grounded in ECG Analysis
- Relation-Centric Open-Vocabulary 3D Gaussian Segmentation
- SD-RouteFusion: Ego-Trajectory Prediction with SD-Map Route Conditioning
- Towards Metric-Agnostic Trajectory Forecasting
- Autonomous Scientific Discovery via Iterative Meta-Reflection
- GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problems
- LogbQuant: Quantizing Language Models in Logarithmic Space
- ZO-Act: Efficient Zeroth-Order Fine-Tuning via One-Shot Activation-Informed Low-Rank Subspaces
- Muon as a Residual Connection
- MoHallBench: A Benchmark for Motion Hallucination in Video Large Language Models
- Towards Developing a Multimodal Chat Assistant for University Stakeholders: RAG-based Approach
- FAR: Failure-Aware Retry for Test-Time Recovery and Continual Policy Improvement
- CausalMix: Data Mixture as Causal Inference for Language Model Training
- Evaluating Large Language Model Raters for German Open-Response Clinical Questions: A Physician-Annotated Benchmark Study of Agreement, Evaluator Bias, and Abstention
- CPDDNet: Color-Polarization Denoising and Demosaicking Network
- Group-invariant Coresets for Data-efficient Active Learning
- When Context Compensates for Sparse Event History: AlphaEarth for Spatio-Temporal Point-Process Forecasting
- Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization
- Human-Centric Transferable Tactile Pre-Training for Dexterous Robotic Manipulation
- Characterizing and Identifying Separable Graphical Models
- DART-VLN: Test-Time Memory Decay and Anti-Loop Regularization for Discrete Vision-Language Navigation
- EchoRisk: A Multicentre Echocardiography Dataset and Benchmark for Cardio-Oncology
- How Much Do RF Drone Benchmarks Overstate? A Controlled Study and Theory of Data Leakage in UAV Signal Identification
- Evidence-Supported Credit Risk Report Generation Using News-Centric Financial Knowledge Graphs
- Seahorse: A Unified Benchmarking Framework for Spatiotemporal Event Modeling
- PedNStream: Scalable Network Flow Simulation for Pedestrian Traffic Management
- Reading Order Inference for Complex Document Layouts
- SuperFlex: Deformable Superquadrics for Point Cloud Decomposition
- Generative Model Proposal based Particle Filtering for Data Assimilation
- Function-Counting Theory for Low-Dimensional Data Structures
- Understanding Large Language Models
- Logit-Contribution Scoring Identifies Non-Literal Retrieval Heads
- Foundation Models vs. Radiomics for Lung Computed Tomography: A Benchmark of Feature Extractors, Classification Heads, and Segmentation Choices
- KnowledgeDebugger -- an Exploration Tool for Knowledge Localization and Editing in Transformers
- Deep Multitask Learning for Mixed-Type Outcomes with Shared Sparsity
- Automatic Detection of Stress from Speech in the Trier Social Stress Test
- QCA: Query- and Content-Aware Keyframe Selection for Long Video Understanding
- Depth-Only Open-Vocabulary 3D Semantic Segmentation For Privacy-Preserving Robotic Applications
- TRCGL-Net: A Long-Tailed Multi-Label Chest X-Ray Classification Framework with Generative Data Augmentation and Label Co-Occurrence Modeling
- QuaMoE-DRF: Proactive Beam and Rate Adaptation via Multimodal Dynamic Radio Map Forecasting in ISAC Networks
- Svarna: An Open Corpus Workbench for Modern Greek
- Understanding How Humans Inject Knowledge into Machine Learning Workflows through Visual Analytics
- Quantifying the Affective Gap: A Zero-Shot Evaluation of LLMs on Fine-Grained Emotion Taxonomies
- Slope-Guided Mamba and Angular-Refined Transformer for Light Field Super-Resolution
- Bridging Quantum Computing Paradigms toward Semiconductor Yield: A Controlled CV-versus-DV Comparison on Wafer-Map Defect Classification
- GaussianEmoTalker: Real-Time Emotional Talking Head Synthesis with Audio-Driven and Blendshape-Based 3D Gaussian Splatting
- LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning
- Aionoscope: Debugging Latent-State Accessibility in Time-Series Representations
- Learning Cardiac Motion Priors for Implicit Neural Representations
- Dataset Biases and Shortcut Learning in Motion-Based AI-Generated Video Detection
- Diffeomorphic Optimization
- Persona Non Grata: LLM Persona-Driven Generations in MCQA are Unstable in Distinct Dimensions
- Explainable AI for Cancer Drug Response Prediction: Beyond Univariate Feature Attributions
- Human-Machine Collaboration on Generative Meta-Learning: Model and Algorithm
- GMO-E2DIT: Grounded Multi-Operation Editing for E-Commerce Images
- Condensing Large-Scale Datasets Directly with Minimal Information Loss
- Two AI Metrics Diverged: Will it Make All the Difference?
- Beyond Activation Alignment:The Alignment-Diversity Tradeoff in Task-Aware LLM Quantization
- MG-RWKV: Multi-Grained Context-Aware RWKV for Temporal Forgery Localization
- MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages
- Geometry-Aware Cross-Height Channel Knowledge Map Prediction for UAV-Assisted Communications With Uncertainty-Guided 3D Sensing
- Beyond Pixel Overlap: A Framework for Decomposing Segmentation Evaluation Metrics
- Improving Sparse-View 3DGS Generalization via Flat Minima Optimization
- Hierarchical Variational Kalman Filtering
- The Binary Tree Mechanism is Optimal for Differentially Private Continual Counting
- How Ethos and Pathos Appeals Resonate in Reader Interpretations of Social Media Messages
- Self-Evolving Agents with Anytime-Valid Certificates
- Dynamic Bidirectional Pattern Memory: A Production-Scale Empirical Characterisation of Inference-Time Gating in Clinical NLP
- EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection
- Constrained Bayesian Optimisation with Multiple Information Sources
- TrajLoc: Trajectory-Attention Localization for Multi-Object Motion Control
- Meta-Transfer Learning for mmWave Beam Alignment
- MoVA: Learning Asymmetric Dual Projections for Modular Long Video-Text Alignment
- Shapley in Context: Explaining Financial Language with Domain Expertise
- Recovering Input Text from Hidden States: Study of Gradient-Based Inversion of Decoder-Only Language Models
- Mirror-Fusion Attention for Reflection-Aware Self-Supervised Representation Learning
- The Course of News Events: A Comparison of Bottom-Up and Top-Down Approaches for Collecting Text-Based Data about Disasters
- MetaHOPE: A Metaphor-Oriented Evaluation Framework for Analysing MT and LLM Translation Errors
- Rethinking Multi-Label Image Classification With Deep Learning: Taxonomy, Challenge, and Outlook
- Spectroscopy Analysis with Machine Learning Regression for the Quantification of Carbon and Nitrogen Contents in Inceptisol and Oxisol Soil Types: Comparing Different Preprocessing and Validation methods as well as Feature Importance
- Pano2World: End-to-End 3D Generation via Unified Multi-View Sequences
- Stitched Embeddings: A Unified Latent Space for 3D Garments and 2D Patterns
- Streaming LRAT Certificates into Lean Theorems
- Spotted: Location-informed Reidentification of Hyenas and Leopards in Camera Trap Surveys
- ClinRAG-GRAPH: Clinical-prior Retrieval-Augmented Graph Model with Domain Adversarial Learning for Breast pCR Prediction
- Which Metric Reflects the Spelling Rate Accuracy in Event-Related Potential-Based Brain-Computer Interfaces?
- Evaluating Pretrained Music Embeddings for Cross-Performance Jazz Standard Recognition
- Soft Mixture-of-Recursions: Going Deeper with Recursive Vision Transformers
- Forensic-Oriented Intrusion Detection Using Synthetic Network Traffic Data and Explainable Artificial Intelligence
- GKDT: General Keypoint Detection Transformer
- FrameONE: Hierarchical Motion Modeling for Universal Multi-View Echocardiographic Keyframe Detection
- Active Learning for Cascaded Object Detection: Balancing Coverage and Uncertainty in Table Extraction Pipelines
- GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception
- Foundation Model-driven Key Anatomy Frame Selection for Blind-sweep Ultrasound Fetal Birth Weight Estimation
- Prototype Memory-Guided Training-Free Anomaly Classification and Localization in Prenatal Ultrasound
- Phantom References: Hallucinated Citations That Survive Peer Review at Top-Tier Conferences
- Towards Robust Driving Perception: A Flexible Scale-Driven Family for Self-Supervised Monocular Depth Estimation
- ConRTF: Edge-Constrained Boundary Distribution Refinement for Realtime TransFormer Table Structure Recognition
- LLM-Guided ODE Discovery and Parameter Inference from Small-Cohort Aggregate Data
- AV-SyncBench: Decoupled Benchmarking of Temporal and Semantic Audio-Visual Synchronization
- MSQA: A Natively Sourced Multilingual and Multicultural SimpleQA Benchmark
- Detecting the Undetectable: Enhancing Unsupervised time series Anomaly Detection via Active Learning
- Partial Skeleton Visibility for Action Recognition: A Constrained Field-of-View Approach
- Self-conditioned Flow Map Language Models via Fixed-point Flows
- ClarifyCodeBench: Evaluating LLMs on Clarifying Ambiguous Requirements for Code Generation
- Creating Impactful Autonomous Driving Datasets: A Strategic Guide from Research Gap to Benchmark
- LLVM-Bench: Benchmarking and Advancing Large Language Models for LLVM Compiler Issue Resolution
- Imprint: Online Memory Compression for Long-Horizon Egocentric QA
- Generative Refinement for Low-Budget Black-Box Optimization
- LUMA: Benchmarking Segmentation via a Lightweight Universal Mask Adapter
- Distributed Online Bandit Submodular Maximization with Bounded Sampling Violations
- DART: Difficulty-Adaptive Routing for Zero-Shot Video Temporal Grounding
- Multi-Label Node Classification with Label Influence Propagation
- Convolutional Symmetric AutoEncoders: enhancing latent stability via differential geometry
- YOMI-Bench: A Benchmark for Evaluating Kanji Reading and Phonological Understanding of LLMs for Japanese
- Faithful by Definition: Emotion Analysis via Natural Semantic Metalanguage Explications
- Approximate full-conformal multi-task regression with reproducing kernels
- What's a Credit Worth? A Market Framework for Attribution-Aware Compensation in Generative Music
- Uncertainty-aware tree height change regression
- Learning to Watch: Active Video Anomaly Understanding via Interleaved Policy Optimization
- Identifying Latent Concepts and Structures for Generalized Category Discovery
- Diffusion-Based Multi-Class Normality for OOD Detection: An Application to CDP Authentication
- Measuring Dead Directions: Decomposing and Classifying Singular Structure off Canonical Alignment
- "Don't Say It!": Constraints, Compliance, and Communication when Language Models Play Taboo
- Semantic-Guided Reading Order Reconstruction in Historical Armenian Newspapers with LLMs
- GADA: Geometry-Aware Deformable Aggregation for Image-Based Gaussian Splatting
- Optimal scaling of MCMC algorithms: the Hamiltonian approach
- How Environment and Urbanization Shape Bird Diversity in Sri Lanka
- Decision-focused Sparse Tangent Portfolio Optimization
- Active Spatial Guidance: Eliminating Injected Positional Mechanisms in Vision Transformers
- EPO: Boosting 3D Foundation Models with Edge-based Pose Optimization
- Caption Bottleneck Models
- Safe Alone, Unsafe Together: Safeguarding Against Implicit Toxicity When Benign Images Combine
- BrainFIBRE: A Foundation Model via Information Decomposition for Brain Microstructure
- A Methodology for Investigating AI Patterns Prevalence in Software Repositories
- Group-Equivariant Poincar'e Convolutional Networks
- Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks
- ECoSim: Data Efficient Fine-Tuning for Controllable Traffic Simulation
- From Technical Metrics to User Perception: A User Study of a Multimodal Human-Robot Interaction System for Object Detection and Grasping
- NoPA: Non-Parametric Online 3D Scene Graph Generation
- AI Native Games: A Survey and Roadmap
- SPECSIA: Stylization Dataset for Novel-View Enhancement in Drawing-based 3D Animation
- AI, Trust, and Teaming: The Humans-as-Handlers Approach for Autonomous and Opaque AI Systems
- Restore3D: Breathing Life into Broken Objects with Shape and Texture Restoration
- Cross4D-JEPA: Dense Cross-modal Correspondence Distillation for 4D Point Cloud Representation Learning
- From Structural Equation Modelling to Double Machine Learning: Robustness Analysis for Survey-Based Research
- Prototype Language Models
- BaseRT: Best-in-Class LLM Inference on Apple Silicon via Native Metal
- Closed-loop coupling of personalised and foundation models for real-time treatment guidance with MRI
- Prior-Anchored Debiasing for Long-Tailed Multi-Organ Pathology Report Generation
- Robust 3D Alignment of Generative Reconstructions via Partial Monocular Observations
- HieDG: A Hierarchical Discrete Geometry-Guided Framework for Multi-Animal Tracking
- GenSP: Consistent Spherical Parameterization via Learning Shape Generative Models
- Ghost in the Kernel: In-Context Learning with Efficient Transformers via Domain Generalization
- Interpretable vs Learned Encoders for High-Cardinality Fraud Detection
- How Early Is Early Enough? Design-Dependent Observation-Window Sufficiency in Subscription Churn Prediction
- Predicting Lethal Outcome (Cause) And Understanding Key Biomarkers Linked With Acute Myocardial Infarction Using Deep Artificial Neural Network And Ensemble Of Machine Learning Methodologies
- Neural Network-Based Estimation of Time-Dependent Parameters in AR(p) Processes
- MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Molecules
- A Multi-Resolution Finite-Volume Inspired Deep Learning Framework for Spatiotemporal Dynamics Prediction
- Real-Time Hard Negative Sampling via LLM-based Clustering for Large-Scale Two-Tower Retrieval
- VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement
- Search-Based Spatiotemporal and Multi-Robot Motion Planning on Graphs of Space-Time Convex Sets
- Timesynth: A Temporal Fidelity Framework for Health Signal Digital Twins
- HyFL-CLIP: Hyperbolic Fine-Tuning of CLIP for Robust Long-Context Understanding
- Speech Playground: An Interactive Tool for Speech Analysis and Comparison
- EO-VGGT: Orbital Ray-Conditioned 3D Foundation Models for Satellite Multi-View Reconstruction
- DroneIQA-VLE: Multi-Task Drone Image Quality Assessment via Vision-Language Ensemble
- A Mechanistic View of Authority Hierarchy in LLM Sycophancy
- MindAU: EEG-Conditioned Facial Action Unit Editing via Dual-Stream Manifold Alignment
- MedCAGD: Context-Aware Gated Decoder for Efficient Medical Image Segmentation
- Holographic Quantum Transformer: A Generalist Neuro-Symbolic Architecture for Solving Frustrated Systems via Generative Attention
- NeuroCogMap Reveals Cognitive Organization of Large Language Models
- MalariAI: A Label-Resilient Decoupled Framework for Annotation-Agnostic Cell Segmentation and Explainable Stage Classification in Dense Malaria Blood Smears
- Attribute-Prompted Kernel Hashing for Unsupervised Data-Efficient Cross-Modal Retrieval
- Radial Interaction Tomography: Recognizing Non-Transitive Evolutionary Games from One Range-Expansion Image
- SAOT: Self-Supervised Continual Graph Learning with Structure-Aware Optimal Transport
- LIST3R: Long-sequence Instance-aware 3D Reconstruction
- Learning to Compose: Revisiting Proxy Task Design for Zero-Shot Composed Image Retrieval
- SFDATrack: Generalized Source-Free Domain Adaptive Tracking Under Adverse Weather Conditions
- Beyond Perplexity: A Behavioral Evaluation Framework for Deployment-Memory Claims in LLM Test-Time Training
- When AI meets quantum information: A comprehensive review
- SoK: Attack and Defense Landscape of Mobile On-device AI Systems
- PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition
- TRACE: State-Aware Query Processing over Temporal Evidence Graphs for Conversational Data
- DroneFINE: Domain-Aware Parameter-Efficient Fine-Tuning of Vision-Language Detectors for Drone Images
- K-Inverse-RFM: A Modified RFM that Bridges the Gap to Neural Networks for Data-Corrupted Mathematical Tasks
- Watermarking for Proprietary Dataset Protection
- CORGI: Consistency-Aware 3D Dog Reconstruction from a Single Image in the Wild
- From Spectral Methods to Sample Complexity Bounds for Fourier Neural Operators
- Calibrated Multichannel Monocular Ranging From Standardized License Plates With Metrology-Exact Validation
- A Text-Steerable Instrument for Sketching Procedural Soundscapes via Language Models
- Wake up for Touch! Mask-isolated Tactile Alignment Learning in MLLMs
- Generative Modeling of Quantum Distribution with Functional Flow Matching
- Learning When to Listen: Gated Affect Fusion for Human Motion Prediction
- An LLM-Based Framework for Intent-Driven Network Topology Design
- OnPoint: Offline-to-Online Multi-Level Distillation for Point-Supervised Online Temporal Action Localization
- Self-Organized Learning in Oscillatory Neural Networks with Memristive Signed Couplings
- Understanding Guest Preferences and Optimizing Two-sided Marketplaces: Airbnb as an Example