Papers
Thu 3 Sep 2026
492 papers
- Stochastic Semantic Evidence Graphs: Uncertainty Propagation and Governance for Agentic AILLM agents and tool use → Agent threats, guardrails and governance
- CoVeR: Coverage-Based Routing of Verifier Calls in Agentic RetrievalLLM agents and tool use → Web, search, and research agents
- BizSage: A Self-Evolving Multi-Agent Framework for Business Research with Efficient Knowledge RetrievalLLM agents and tool use → Web, search, and research agents +1
- Seeing Through Conflicts: Improving Instruction Hierarchy Alignment in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Assessing Adversarial Robustness of Latent Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Swiss-Knife: A Framework for Reconfigurable Externalised Multi-Objective Alignment at Decode TimeLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- GzDRL: Reproducible and Scalable Deep Reinforcement Learning with GazeboDeep reinforcement learning methods → RL for robot locomotion and manipulation
- ArtSociety: Multi-Agent Multimodal Collaboration for Art Emotion UnderstandingLLM agents and tool use → Multimodal and embodied agents
- Abstract-LoRA: Unlocking Single-Image Style Transfer through Targeted U-Net Block TrainingDiffusion models → Image generation, text-to-image and editing
- LLM-Aided Design for Manufacturing: A Multi-Agent System for Intent-Preserving Redesign of CAD for Improved ManufacturabilityLLM agents and tool use → Multimodal and embodied agents
- EdgeMem: LLM-Free Agent Memory Construction and Retrieval via Evidence-Preserving Multi-Anchor HypergraphLLM agents and tool use → Agent memory systems
- Extremely Sparse Supervision Incentivizes Reasoning AbilityLLM reasoning → Prompting and chain-of-thought reasoning
- La Agente 'Optima: Towards Agentic Self-Driving LaboratoriesEnd-to-end autonomous driving → Large language models for driving +1
- Rhythms of Work: Multi-Scale Interpretation of Human Behavioral Traces for Workplace AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- VISTA: Dense Multi-Label Classroom Coding with Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- From Answers to Interpretations: Rethinking Ambiguity-Induced Aleatoric Uncertainty Estimation in LLMsLLM reasoning → Test-time compute and efficient thinking
- Repeat-After-Me: Black-Box Adaptive Visual Prompt InjectionLLM safety and security → Prompt injection and agent security
- Distilled Continuous Diffusion Language Models Can Write Code in Few Steps---or OneDiffusion models → Discrete and text diffusion
- Discriminative Flow Matching: Beyond Time-Conditioning in Generative Restoration via Flow-State RepresentationsDiffusion models → Flow matching, time series and science
- MaxKernel: Agentic Kernel Generation for TPUsLLM agents and tool use → Software engineering coding agents
- What Does Multi-Harness RL Learn? Credit Assignment and Portability in Coding AgentsLLM agents and tool use → Software engineering coding agents +1
- LentEx: Generalizable Latent Entity Extraction via Synthetic Data and Instruction-Tuned LLMsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Rethinking Indirect Prompt Injection as a Test-Time Search ProblemLLM safety and security → Prompt injection and agent security
- Towards Understanding Pause Token Fine-Tuning Dynamics: A Mode Retention PerspectiveLLM reasoning → Test-time compute and efficient thinking
- Safety for Whom? Boundary-Aware Self-Distillation for Controlled LLM Safety RefusalLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
- PerfReasoning: How Well Do LLMs Reason on Hardware Performance?LLM reasoning → Reasoning for agents, planning and code
- Client-Side Probing of Deleted Ridge Statistics in Federated UnlearningLLM safety and security → Federated unlearning and poisoning
- Shared circuits predict whether LLMs generalize across formats in arithmetic reasoningLLM reasoning → Mathematical reasoning +1
- When Load-Balancing Goes Too Far: Expert Pruning in Over-Dispersed Mixture-of-Experts ModelsMixture-of-experts → Expert routing strategies
- GRACE: Graph-Grounded Reflective Agent Copilot Engine for Expert-in-the-Loop Knowledge ExpansionLLM agents and tool use → Web, search, and research agents
- What Attention Recalls and Recurrence Controls in Hybrid Language ModelsEfficient LLM inference and serving → KV cache optimization
- Why Better Models Can Create Riskier Systems: Evidence from LLM Agents in Financial MarketsLLM agents and tool use → Financial trading and forecasting agents
- Scalable Edge-assisted Fusion and Path Prediction for Connected Autonomous VehiclesWorld models → World models for autonomous driving +1
- VLA-Precision: Asymmetric Co-Bootstrapping for Efficient Real-World Online RL of Vision-Language-Action ModelsVision-language-action models → Reinforcement learning and post-training
- SharedSAE: One Feature Dictionary Across Language ModelsMechanistic interpretability → SAE features and their applications
- MedProb: Probing Internal Representations of Vision-Language Models for Medical Question AnsweringMultimodal LLMs / vision-language models → Medical vision-language models +1
- Abstraction AgentLLM agents and tool use → Reinforcement learning for LLM agents
- Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Evidence Integration in Large Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- From Matching Models to Recruiting Agents: A Systematized Narrative Review of AI Recruitment Systems, Evaluation, and GovernanceLLM agents and tool use → Social simulation and multi-agent debate
- Joint Alignment and Distillation for Video Generation via Sample-Guided Distribution MatchingLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Step Back to Move Forward: Reflection-Aware Preference Optimization for Visual GenerationDiffusion models → Diffusion and flow policies for robotics +1
- When Seeing Overrides Knowing: Visual Dominance and Deferral-Based Method for Personalized Safety in VLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- EvoHarnessBench: Can Your Agents Keep Pace with an Evolving Harness?LLM agents and tool use → Software engineering coding agents
- FailureSpot: Label-Efficient Timestamp-Level Failure Detection for Vision-Language-Action ModelsVision-language-action models → Failure recovery and robustness
- Temporal Self-Distillation: Learning Visual State Tracking in Videos Without SupervisionKnowledge distillation → Detection and dense prediction distillation
- Legibility is Not Interpretability: Comparing Judged and Actual Importance in Chain-Of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- GIFT: Guided Intermediate Feature Training via Action-Oriented Structural Supervision for Robotic ManipulationWorld models → Embodied and robot world models +1
- Rethinking On-Policy Distillation of Large Language Models II: One Training ExampleKnowledge distillation → On-policy and self-distillation for LLMs
- SWE-Gate: Passing Functional Tests Is Not Enough for Software Engineering AgentsLLM agents and tool use → Software engineering coding agents
- SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations CenterLLM reasoning → Reasoning for agents, planning and code +1
- A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann VehicleEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Beyond Retrieval: Progressive Latent Memory Evolution for Streaming Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Environment Evolution for Terminal AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Sequential Beats Joint: On the Interplay between On-Policy Distillation and RLVRLLM reasoning → Reinforcement learning for reasoning +1
- Conditioning Degenerate Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker DistillationLLM reasoning → Multimodal reasoning
- TAP-Path: Task-Adaptive Structural and Token Pruning for Efficient and Trustworthy Pathology Foundation ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
- Continuous Actions from Discrete Minds: Latent-Aligned Planning for End-to-End Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- Subspace Inference Enables Efficient Active Reward Learning from PreferencesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Spurious Advantage Hidden in GRPOLLM reasoning → Reinforcement learning for reasoning
- DSAQuant: Denoising-Stage-Aligned Quantization-Aware Training for Video GenerationDiffusion models → Diffusion foundations and sampling
- Representational alignment yields generalizable safety in language modelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- A Black Box for Agentic Processes: Blockchain-Anchored Evidence for AI Agent Communication, Human Oversight, and GRC AuditsLLM agents and tool use → Agent threats, guardrails and governance
- InSituMeasure: Probing Situated Measurement Grounding in Industrial Scenes with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Unlocking Lossless Speedups in LLMs via Discrete DiffusionDiffusion models → Discrete and text diffusion
- The Dually Flat Geometry of Planning as InferenceDeep reinforcement learning methods → Deep RL algorithms and representations
- Alignment-Free Text-Audiobox for Voice Dubbing and Full-Duplex Dialogue SynthesisDiffusion models → Audio, speech and music
- IchthyoNoma: Nomenclature and Context Sensitivity of Zero-Shot Biological Vision--Language Models for Bangladeshi Freshwater Fish RecognitionMultimodal LLMs / vision-language models → Agricultural vision-language models
- MulDP: Multimodal Diffusion Policy for Autonomous Quadruped Parkour Navigation across Complex TerrainsDiffusion models → Diffusion and flow policies for robotics
- FiMI Banking: A Sovereign Model for Indian Retail BankingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- RARF: Region-Aware Rectified Flows for 3D Brain MRI InpaintingDiffusion models → Medical imaging and segmentation
- WorldReward: Reward Modeling for Camera-Conditioned World ModelsWorld models → Embodied and robot world models +1
- VestigeKV: The NoPE-MLA KV Cache Carries Its Own Sparse-Attention Signal in a Vestigial BranchEfficient LLM inference and serving → KV cache optimization
- Computationally Efficient Pathology Segmentation using Knowledge Distillation from Foundation ModelsKnowledge distillation → Distillation for medical imaging
- Headroom-Drift Replay: A Primitive for Principled Replay Control in GRPOLLM reasoning → Reinforcement learning for reasoning +1
- RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series ForecastingRetrieval-augmented generation → Time series and agricultural RAG
- Toward Unified Robot Learning: Bridging Representation, Vision-Language-Action, and World ModelsWorld models → Embodied and robot world models +1
- Speak for Me: Giving LLMs the Situational Awareness to Participate in a MeetingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Value-Preserving Architectures for Agentic AI SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- OctWorld: Long-Range World-Consistent Video Generation with Octree-Based 3D MappingDiffusion models → 3D, point cloud and scene generation
- From Misconceptions to Evidence: What Science Teachers Make Visible When Co-Designing Agentic Learning AppsLLM agents and tool use → Educational agents and math problem solving
- Revisiting Topological Graphs for Macro Action based Closed-loop Reinforcement Learning of Vision Language Navigation in Continuous EnvironmentDeep reinforcement learning methods → RL for robot locomotion and manipulation
- GraFT: A Training-Free Framework for Spatial Reasoning in Multimodal Large Language Models via 3D Scene GraphsLLM reasoning → Spatial and embodied reasoning +1
- A hybrid pipeline for dynamic ontology-based semantic mappingWorld models → World models for navigation
- Beyond Shallow Alignment: How Post-Training Methods Determine Refusal Circuits And Steering RobustnessLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- A Blind Trust, the Bloody Thrust: When Attacker-Controlled Hook Updates Steer AI Agent Harnesses towards Malicious BehaviorsLLM agents and tool use → Agent threats, guardrails and governance
- STAIR (STructure Aware Information Retriever): A novel dataset and LLM based retriever for document structure augmentationRetrieval-augmented generation → RAG pipeline design and evaluation
- Bioinfoysis Technical ReportLLM agents and tool use → Medical and scientific domain agents
- Adapting to Evolving Requirements: Agentic AI for Retail Supply Chain OperationsLLM agents and tool use → Social simulation and multi-agent debate
- GRASP: Graph-Retrieval Automated Scoring Pipeline for Label-Free Multi-Topic Essay GradingRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Flip, Don't Shuffle: Watermarking LLMs at the Speed of InferenceLLM safety and security → Watermarking generated content and models
- Multi-step Proximal Policy Improvement in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms +1
- Semantic Bayesian World ModelsWorld models → World models for language agents
- When Vision Meets Graphs: A Survey on Graph Reasoning and LearningLLM reasoning → Multimodal reasoning
- Inferring Hidden User Models from the Behavior of Personalized LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- SPARK: Input-Conditioned Sparse Activation Modulation for Frozen DiT-based Super-ResolutionDiffusion models → Inverse problems and image restoration
- SVG-Score: Human-Aligned Evaluation of Text-to-SVG GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- LLaDA-Image: Building Strong Image Generators with Fully Open Training RecipesDiffusion models → Image generation, text-to-image and editing
- DNative-Twin: Decision Graphs and Digital Twins for Reconstructable Agentic DecisionsLLM agents and tool use → Agent threats, guardrails and governance
All 492
- IndicSafeEval: Safety Robustness of Large Language Models under Multilingual Persuasive Jailbreak AttacksLLM safety and security → Safety alignment, refusal and guardrails
- Rethinking World Models for Safety-Critical Embodied SystemsWorld models → World models for navigation
- SimSkill: A Self-Evolving LLM Agent for Skill and Knowledge Accumulation in Traffic SimulationLLM agents and tool use → Multimodal and embodied agents +1
- Rent-a-RAG: Embedding-Space Watermarks for Auditing Third-Party RAGRetrieval-augmented generation → Privacy and security of RAG
- Unfold The World: Factorize 4D Properties in Reinforcing Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Proactive Service Agents: A Unified Decision Framework, Methods, and EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- What Do CAE Simulation Agents Really Need Beyond a Generic Harness?LLM agents and tool use → Software engineering coding agents
- MINERVA: How Small Can a Manipulation Policy Be and Still Solve LIBERO?Vision-language-action models → Failure recovery and robustness
- AlcaTRAz - Anchored Tree-Rule Defense Against JailbreaksLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- ToPO: Token-Conditioned Preference Routing for Attention-Based Latent Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
- A Circuit for Plural Reference: How LLMs Represent and Retrieve Singular and Plural EntitiesMechanistic interpretability → Knowledge and representations inside LLMs
- WISE: World-model-guided Imagination Scheduling for Efficient Post-training of Vision-Language-Action ModelsWorld models → Embodied and robot world models +2
- CoFiE: Coarse-to-Fine Evidence Selection for Efficient Streaming Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- Out-of-Distribution Generalisation with Sequence Models in Offline Multi-Agent Reinforcement LearningOffline RL and imitation learning from data → Offline multi-agent RL
- Extracting Forgotten Prompts from Targeted Unlearned ModelsLLM safety and security → Machine unlearning
- Stabilizing Camera-Controlled Novel View Synthesis at Inference TimeDiffusion models → 3D, point cloud and scene generation
- </think> Doesn't Stop Reasoning: Analysis of Spurious CoT TerminationLLM reasoning → Prompting and chain-of-thought reasoning +1
- EraseSAE: Surgical Concept Erasure in Text-to-Video Diffusion Models via Sparse AutoencodersDiffusion models → Robustness, privacy and adversarial aspects +1
- Remember and Reweight: Enhancing Multi-Agent Debate with Experience Memory and Confidence EstimationLLM reasoning → Reasoning for agents, planning and code +1
- FailBench: How Reliable are VLMs at Judging Robot Task Success?Multimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SV-WAM: An Efficient Surround-View World-Action Model for End-to-End Autonomous DrivingWorld models → World models for autonomous driving +1
- Scaling Bimanual Household Manipulation from 1,500 hours of Demonstrations to On-Policy CorrectionsVision-language-action models → Human-video and latent-action pretraining
- From Prior-Guided Heuristics to Deployable Agents: Accelerating Demonstration-Driven Reinforcement Learning for Deadline-Constrained Network ControlOffline RL and imitation learning from data → Offline multi-agent RL +1
- KC-Bench: A Dynamic Interactive Benchmark for Evaluating Knowledge Conflicts in LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- The Attention Triangle in Audio-Video ModelsDiffusion models → Audio, speech and music
- Drive-HWM: Hierarchical World Models for Dynamic-Latent Guided Autonomous DrivingWorld models → World models for autonomous driving +1
- Toward Physically Grounded JEPA World Models for Goal-Conditioned Robotic PlanningWorld models → Latent predictive world models
- Building Pretraining Data for World Models: An Unreal Engine-Based Pipeline for Action-Conditioned Video GenerationWorld models → Video-generation world models and simulators
- Dalek: A Constructive Agent MachineLLM agents and tool use → General LLM agent frameworks and benchmarks
- SafeRI: Recognition and Intervention for Token-Level Safety Intervention in Large Vision Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- LeanGRPO: Eliminating Redundant Recomputation in Diffusion RLDeep reinforcement learning methods → RL with diffusion and flow models
- NeoRed: A Knowledge-Logic-Alignment Multimodal Large Language Model for Neonatal Respiratory Disease DiagnosisMultimodal LLMs / vision-language models → Medical vision-language models
- CulturalMenuBench: Probing the Knowledge-Application Gap in Multimodal Culinary ReasoningLLM reasoning → Multimodal reasoning +1
- What Matters for Aggressive Decoding-Time KV Eviction? Temporal Aggregation and Ranking PreservationEfficient LLM inference and serving → KV cache optimization
- Lost in Reordering: Structural Sensitivity of Multilingual LLMs under Semantics-Preserving PerturbationsLLM reasoning → Reasoning benchmarks and evaluation +1
- Towards a Statistical Understanding of Mixture-of-ExpertsMixture-of-experts → Expert routing strategies
- GrowPage: On-Demand KV Budgeting for Efficient LLM Reasoning ServingLLM reasoning → Test-time compute and efficient thinking +1
- Making Every Tool Call Count: Necessary Tool-Evidence Path Rewards for Agentic Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- When Users Don't Ask: Benchmarking Context-Driven Memory Retrieval in Conversational AgentsLLM agents and tool use → Agent memory systems
- When Retrieval Helps: Selective Retrieval for Single-Turn Mental-Health QARetrieval-augmented generation → Medical and biomedical RAG
- Plan Pointers and Record-Directive Form in Budgeted Verification of Inherited Agent MemoryLLM agents and tool use → Agent memory systems
- Beyond Straightness: Non-Crossing Flow Matching via Quantile AlignTree CouplingDiffusion models → Flow matching, time series and science
- Do GUI Agents Know When Not to Act? Enabling Conflict-Aware Termination for Multimodal GUI AgentsLLM agents and tool use → GUI and mobile agents
- It's the Problem, Not the Path: Budget and Difficulty Confounds in LLM Reasoning TrajectoriesLLM reasoning → Test-time compute and efficient thinking
- Random Attention: Rethinking KV Cache Eviction for Efficient ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- DuplexSpeechBench-IFEval: Evaluating Implicit Instruction Following in Full-Duplex Voice AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Dude: A Dual-Detection Multi-Agent System for Paper-Code Discrepancy DetectionLLM agents and tool use → Web, search, and research agents
- TIGPO: Temporal Instance-Graph Policy Optimization for Long-Horizon LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- SurgeGen: A Hybrid Generative Diffusion Framework for Storm Surge Scenario SynthesisDiffusion models → Flow matching, time series and science
- RecurTrace: Adaptive Latent Reasoning with Loop-Time MemoryLLM reasoning → Test-time compute and efficient thinking
- Spruce: Scalable Private Outsourced Retrieval Using Compact EmbeddingsRetrieval-augmented generation → Privacy and security of RAG
- ALRA: Adaptive Local Relational Alignment for Logit-Based Pre-training Distillation of Autoregressive Language ModelsKnowledge distillation → Knowledge distillation for LLMs
- Gradients Know What Outcomes Don't: Unlocking Reinforcement Learning for LLM Reasoning with Gradient-Aligned RewardsLLM reasoning → Reinforcement learning for reasoning +1
- Fresh Memory, Stale Plans: Dependency-Scoped Validation for Distributed LLM-Agent MemoryLLM agents and tool use → Agent memory systems
- SciLENS: RL-Driven Autonomous Agents for Scientific Localized Evidence Navigation and SynthesisLLM agents and tool use → Web, search, and research agents
- FPCO-Dialog: A Multi-Turn False-Premise Benchmark for Correction and Cooperation in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DE-Venus: A Data-Efficient RLVR Framework for Large Language ModelsLLM reasoning → Reinforcement learning for reasoning
- Iapetus: Content-Aware Hierarchical Scheduling for Collaborative ViT Inference in LEO Satellite NetworksEfficient LLM inference and serving → Serving systems and request scheduling
- SelfDR: Self-Distillation from Reasoning for LLM-Based RecommendationLLM reasoning → LLM reasoning for recommendation
- TIPCODER: Reinforcement Learning Boosted Test-time Instruction Proposer for Code GenerationLLM reasoning → Reasoning for agents, planning and code
- Risk and Anomaly Identification for Distribution Network Optimal Operation Based on Reinforcement Learning and Uncertainty QuantificationDeep reinforcement learning methods → RL for energy, networks and operations
- Latent Energy Action Planning with World ModelsWorld models → Latent predictive world models
- R2S-Eval: Robot Evaluation with Real-to-Sim Calibration via Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- MedQA-MM: Shortcuts Behind Medical Visual ReasoningLLM reasoning → Clinical and biomedical applications
- What Else Needs Fixing? Exploring Cost-Effective Test-Time Compute for Revision Propagation in Artifacts Generated Through ConversationLLM reasoning → Test-time compute and efficient thinking
- Trust Me, I'm Your Developer: Self-Issued Authentication in Large Language ModelsLLM safety and security → Jailbreaking
- FlowBalance: Verifier-Grounded Self-Improvement from On-Policy Reasoning ExperienceLLM reasoning → Prompting and chain-of-thought reasoning
- Speculative Macro Commit for Faster Tool-Using AgentsLLM agents and tool use → Software engineering coding agents
- SGD-KV: Summarization Guided KV Cache CompressionEfficient LLM inference and serving → KV cache optimization
- Language-encoded network topology enables large language models to reason about complex networksLLM reasoning → Knowledge- and tool-augmented reasoning
- Long-Horizon Consistent and Interaction-Aware World Models for Multi-Style End-to-End DrivingWorld models → World models for autonomous driving +2
- SW-KAN: Kolmogorov-Arnold Networks with Stieltjes-Wigert q-Orthogonal Polynomials
- Fast Polynomial Transcendentals for LLMs
- Characterizing a Configuration Where Inference-Time PRM-Pruned Fragment Grafting Is Inert: Evidence from Three Reasoning LMs
- SCM-based Fairness and Faithful Explainability for Legal Document Classification
- The Delegation Danger Band: Why Mid-Capability Sub-Agents Over-Trust Inherited Stale State
- DSSR-3D: Decoupled Reasoning for View-Dependent Referring in 3D Gaussians
- Not All Ranks Are Equal: Budget-Aware LoRA Merging Across Tasks
- SCALE: Simulation-Calibrated Amortized Learning for Energy Materials (A hybrid architecture connecting deterministic modeling, real-world data, and transformer-scale inference for accelerated energy-materials discovery)
- CNA: An AI-Oriented Comprehensive Normalized Assessment for Healthy Status and Application to Optimize RRT Strategies by Reinforcement Learning
- EvalMem: An Operation-Level Diagnostic Framework for Long-Term Memory Systems
- List Counting Failures Are Not One Phenomenon
- A Synthetic Multivariate Refrigerator Time-Series Dataset for Predictive Maintenance
- Guiding the coarse levels of semantic IDs makes the fine levels learnable
- Cascaded Non-Line-of-Sight Imaging
- Calibrating subgrid parametrizations of single-column ocean models via simulation-based inference
- Toward Sustainable Distributed LLM Inference: A Systems Synthesis and Research Agenda for an Energy-, Carbon-, and Cache-Aware llm-d Control Plane
- Rollcast: Proper-Score Gated Rolling Anchors for Adaptive Probabilistic Time-Series Forecasting
- An Agent Model Abstraction for Human-AI Teaming Cognitive Coupling
- Subject-Relative Micro-Motion and Sleep Dynamics for Near-Infrared Video Sleep Staging
- Dynamic Adaptation of the LLM Context for Generating Routines with Coupled Semantics
- Reducing Hallucinated Transcripts in Whisper via Hallucination Space Projection
- IPGeoAI: Transformer-Based Geolocation with LLM Semantic Fusion
- A Sim-to-Real Study of Surface-Code Decoder Benchmarking
- DART: Depth-as-Target Pretraining for Surgical Vision Foundation Models
- Continual Field-Adaptive Models (CFAMs) for Post-Deployment Physical AI
- Fast Surrogate Modeling of Excitable and Oscillatory FitzHugh-Nagumo Dynamics with Parametric Neural Operators
- SocioGesture: Real-Time and Adaptive Social Gesture Perception for Human-Robot Interaction
- Data-Driven Discovery of Composition-Dependent Constitutive Models for Hyperelasticity and Viscoelasticity of Digital Materials
- Mitra-v2 Technical Report
- A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs
- An Energy-Based Conservative-Dissipative Latent Neural Evolution Operator for Magnetization Dynamics
- Towards a universal language of concepts: A survey
- Scale-QLoRA: Code-Invariant Adapter Merging for Native 4-bit Microscaling LLMs
- Pitch-class Steering for Diffusion-based Music Generation via Latent-space Probes
- Atlas: Optimizing Deployment of Compound AI Workflows on Heterogeneous Clusters
- Explainable Multimodal Deep Learning Integrating Imaging and Clinical Data for Oral Potentially Malignant Disorder Detection
- A Semantic Model of Genetic Evidence: A Step Toward Bridging the Basic-Science-Clinic Gap
- BioSync: Transformer-Based Cross-Modal Fusion for a Multimodal Physiological Digital Biomarker
- Fractional-Order Adaptive Motion Magnification: Phase-Reliability Weighting for Noise-Constrained Video Amplification
- EyeMakeYou: Identity-, Task-, and Subjective-State-Conditioned Diffusion for High-Frequency Gaze Synthesis
- STyMo: Fast and Controllable Few-Shot Motion Style Transfer
- Hakken: Predicting future discoveries to fill the gaps in today's knowledge
- ResLearn-XR: Residual Learning for Network Traffic and Quality-of-Experience-Aware Modeling in Extended Reality
- When Quantization Breaks Memory: Recurrent-State Write-Back in Low-Precision Temporal Inference
- Uncertainty Signals for Network Intent Translation: Risk Ranking and Ambiguity Localization
- Cultural Misalignment in Large Language Models: Detection, Measurement, and Mitigation Through Targeted Fine-Tuning
- Patterns of Priming in Production: Lexical, Semantic and Structural Alignment in Language Model Generation
- Nested Inductive Bias Framework for SPD Manifold Learning
- A Roadmap for MEG Foundation Models
- On-board ML for Trace Gas detection in Imaging Spectroscopy data
- Topology-Aware Training and Spatial Diagnostics for Fiber Bundle Segmentation in Tracer Histology
- TRILOGUE: A Trilingual Spoken Dialogue Fact-Checking Benchmark with Evidence and Paired Audio
- Conformity Breaks Conformal Prediction
- HarvestBench: Measuring Whether LLM Agents Will Pay to Avoid Killing Animals
- Segmentation of the aorta in 4D flow MRI using 4D convolutional kernels and learning from sparse annotations
- ICM-Bench: Person-Level Identity Reasoning in Multimodal Agents with Long-Term Memory
- STEMPix: A Phase-Transition-Material-Based Pixel Sensor for Resolving Edge-Movement Direction
- Recovering molecules from coarse-grained beads: free-energy-conditioned generative backmapping across chemical space
- A Repeated-Measurement Study for Cultural Analytics of English Song Lyrics Using Five Large Language Models
- Beyond a Universal Forecasting Selector: Demand-Conditioned Model Selection across Demand Patterns and Horizons
- Optimal Stratified Allocation for Rare-Event Onset Forecasting in Dependent Sequences
- Tuning Collective Patterns to Alleviate Congestion in Shared AI Clusters
- REFINE: LLM Refinement over Budgeted Text-Attributed Graphs for Personalized Medical Concept Representation
- AquaBEV: Monocular Underwater BEV Occupancy with 3D Sonar Supervision
- A Systematic Evaluation of Cross-Lingual Consistency Enhancement Methods in Multilingual Language Models
- Disentangling Attention in Deep Operator Learning: A Controlled Study of Data-Driven and Physics-Informed Architectures
- The Anatomy of an ASR Hallucination
- FAVE: Foveated Adaptive Visual Encoding for Efficient Fine-Grained Visual Understanding
- Evaluation of Phonetic Encoding Algorithms on Transcription Datasets
- Development and Evaluation of Ultrasound Image Learning Pipelines for MASLD Risk Stratification
- Candidate Comparability Before Promotion: Conditional Validation in Adaptive Network Intrusion Detection
- You Really Didn't Get That? Benchmarking Social Pragmatic Inference for Indirect and Playful Chinese Online Comments
- What Moves? Localized Motion Representations for Compositional Scene Control
- Privacy Failure in Split-LLM Training, The Returned Gradient Nullifies the Decoys
- What Do Scan-Derived Class Prototypes Add? Disentangling Supervision, Prototype Content and Query Protocol in Recognition over Frozen Foundation Features
- On the Abundance of Critical Points of the t-SNE Energy
- Corporate Language Model (CLM): Transforming Tacit and Fragmented Enterprise Knowledge into a Sovereign, Auditable, and Executable Corporate Intelligence Layer
- AdaptVPR: Route-Aware Hard Positive Generation for Robust Visual Place Recognition
- VERGE: Verification-Enhanced Refinement for Grounded Extraction of Early-Onset Colorectal Cancer Symptoms in Clinical Notes
- Ultrasound-Based Prediction of Cirrhosis Decompensation Using Large-Scale Computer Vision Models
- Knowing When Not to Answer: Pseudo-Ensembles for Abstention in Music Audio-Language Models
- Cross-modal triage network: a multimodal deep learning framework for severity-based triage and visual explainability in chest radiographs
- Blockchain-Enabled Secure Logging for Fiscal Electronic Mechanisms: Evaluation of the Greek eSEND and myDATA Tax Systems
- A Quantum Variational Approach to Prototypical Recurrent Unit
- Adapting from Downturns: Prediction of Long-Term Conversational-Skill Development in Mental-Health Crisis Counselors
- Object Concepts Emerge from Motion
- A Constraint-Aware Generative Framework for Synthetic Origin-Destination Demand in Logistics Networks
- A Removal Based Approach to Improve LLM Faithfulness at Test-Time
- Modular Deep Recurrent Neural Network: Application to Quadrotors
- Data-Driven Learning of Unknown Nonlinear Differential Equations Using Functional Analysis
- The microscope is the mask: privileged views and labels from a cryo-ET forward model
- TNFlow: Amortized Posterior Inference for Trans-Neptunian Object Surface Composition
- Iris: Climbing to the Search Frontier
- Data-Optimized Contingency Screening: A Machine Learning Approach to Power System Security
- BER-PEF: Unified Human Mobility Predictability Evaluation via Bayes Error Rate Estimation
- Memory as transformation: LETHE, a self-referential gan-inspired architecture
- Scalable Context Orchestration for Serving LLMs Over Voice
- Towards AI-Driven Nanomedicine Discovery: A Benchmark and Multimodal Learning Framework for Nano Self-Assembly Prediction
- TokenMatch: 3D Mesh Correspondence Transformer with Curvature-Guided Tokenisation
- Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction
- Principia: Relational Physics Tests for Video Models
- Compile by Training: Turning Natural-Language Specifications into Local Neural Functions
- Clean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared Endpoints
- ESPO: Error-Structured Prompt Optimization via Diagnose, Diversify, and Stabilize
- Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States
- One Editor, Many Edits: A Unified Training-Free Framework for Diverse Video Editing
- Robust PAC Learning of Concurrent Stochastic Games
- Seeing Before Synthesizing: VLM-Guided Transition Event Discovery for Weakly-Supervised Dense Video Captioning
- Knowledge Acquisition During Pre-training? Large Language Models Learn Better With Auxiliary Views
- A Computationally Feasible Framework for Causal Probabilistic Explanation
- Zero-Shot Novel Depth Synthesis Using 3D Foundation Models Scene Representations
- Last Translation Benchmark
- A Case Study on Emergent Cheating and Whistleblowing in Autonomous Research Swarms
- Para-Pipe: Exploiting Hierarchical Operator Parallelism of ML Computational Graphs on SoCs
- From Deceptive Outputs to Deceptive Mechanisms: A Causal Framework for Language-Model Deception Research
- Parameterised graph theory for tensor networks: entanglement rerouting, structural simplification, and agnostic tomography
- Persistent Identity Preservation in Generative Image Models: A Benchmark and Evaluation System
- Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments
- Efficient Test-Time Adaptation through Human-AI Interaction
- The Natural Language Interaction Protocol and Standard for AI Agents
- Prospective Coding Improves Learning in Deep Continuous-Time Recurrent Networks
- Epistemic Warrant for LLM Recommendations: Characterizing the Basis for Reliance When Ground Truth Is Unavailable
- BooM-VVT: Boosting Mask-Free Video Virtual Try-On with Image-Level Pseudo Data
- Constant regret in general games via higher-order optimism
- The Shape of Time: Video-Token Contrast for Temporal Understanding in VideoLMs
- Hardware-Aware FP4 FlashAttention-4
- Why Gated DeltaNet Survives 4-Bit Quantization: NVFP4 W4A4 for the Recurrent Half of a Hybrid 27B LLM
- Adaptive Vision-Language Grasping via Composable Foundation Priors and Generalizable Grasp Synthesis
- DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training
- Efficient Semantic Understanding from Digital Foveation
- A Non-Formulable Theorem: A Fundamental Limit of Finite Syntactic Systems and Its Consequences for Security and AI
- PatchBench: Evaluating AI Agents for Vulnerability Patching
- When Models Edit Too Much: On the Fidelity of Minimal Code Edits
- Translation as a Decision Space: A Multi-Agent Perspective on Low-Resource Dialect Generation
- The Dice Roll Method: A Standardized Protocol for Repeated-Query Auditing of Large Language Model Brand Recommendations
- The Head Complexity of Boolean Functions in Single-Layer Attention
- Editable Visual Design
- IRWOZ 2.0: A Large Language Model-driven Dialogue Dataset for Industrial Robot Conversations
- Influence of Extruded Filament Shape on Buildability in 3D Concrete Printing: A Geometry-Informed Deep Learning-FEM Approach
- Stable and Scalable Bundle Adjustment of Holistic 3D Structures
- Instruction Duplication as an Inference-Time Control Primitive
- FLY-EVAL++: An Evidence-Driven Evaluation Protocol for Safety-Constrained Flight Prediction with Large Language Models
- A Location-Invariant Estimator of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions
- LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening
- Differentiable Hybrid Modelling for Learning and Optimising Chemical Transport Processes from Experimental Data
- The Blind Spot in 2D Infants' Pose Estimation:Robust Learning from Noisy Annotations
- RobustSeiz: An Open-Source Framework for Benchmarking the Robustness of EEG Seizure Detection Models
- Catalogue Photography as a Cold Start: Toward Deployable Rotary Milling Tool Recognition
- Sharpening the Ensemble: An SSIM-Aligned Residual Refiner for Brain-MRI Inpainting Post-Processing
- Cooperative Multi-Task Semantic Communication for Joint Classification and Regression Tasks
- Common-Witness Certificates and Sharp Feature Bounds for Counterfactual Image Auditing
- OSR: Output Space Redistribution for Adaptive Label Removal in Classification Models
- Investigating the Ability of Large Language Models to Analyze Recipes for Diabetes
- Interface-Induced Trajectory Censoring
- Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs
- Beyond Majority Vote: Multi-Perspective Adjudication for Medical Hallucination Detection
- More Criticism Does Not Make a Better Review: EquiReview-R
- Masked Autoregressive Speech Enhancement with Continuous Neural Audio Codec Representations
- Towards Numerical TOHTN Planning with SMT-based HTN-SAT Encoding
- Sparse auto-regressive modeling for scene generation from multi-view images
- Fixed Suffix Dependency Ratio: Quantifying the Dual-Track Mechanism of Gender Assignment in Latvian Loanwords
- RuleMem: Active Rule Memory for Long-Term Conversational Agents
- Lose the Order, Keep the Hierarchy: Deordering HTN Plans
- Comparing Retrieval Methods for Academic Advisor Discovery: A Six-Method Study of 768 CS Faculty Profiles Across 9 US Universities
- Beyond Endpoint Scores: Time- and Capacity-Conditioned Evaluation of Continual Knowledge Updating
- Concept of a Sensor Test Environment for Dusty Agricultural Conditions
- CROCODIL: Cross-Model Code Editing with LLMs
- FWBC-VLA: Force-Aware Whole-Body Compensation for Contact-Rich Loco-Manipulation
- Inferring Affective Consciousness in an Artificial Agent: A Case Study
- Xiaomi-TabLDM: A Tabular Foundation Model Technical Report
- Differentiable Interval Bottlenecks for Interpretable Anomaly Detection in Numerical Data
- GazeFS: Target-Centered Gaze-Trajectory Forecasting and Stabilization from Gaze-Head History
- High-Dimensional Learning Dynamics of Attention-Indexed Models
- Pushing the (Decision) Boundaries: Dynamically Calibrating Differentially Private Noise to Explainability in Federated Learning
- EF1-Constrained Nash Social Welfare with Identical Additive Valuations: Complexity, Guarantees, and Experiments
- Phase-Aware Spatial-Frequency Fusion for Few-Shot Fine-Grained Image Classification
- Witnesses Explain Anomalies
- VI3: Grounding Pretrained 3D Foundation Models with Inertial Cues
- Select, Compress, Reinvest: A Controlled Study of Visual-Token Allocation in Long-Video MLLMs
- CauseCollab: Causal Unified and Modality-Agnostic Network for Heterogeneous Collaborative Perception
- Evaluating Criterion-Conditioned Behaviour of Large Language Models in Content Moderation
- VisCAD: A Foundation Model Suite with Multimodal Industrial CAD Intelligence
- A Peer-Relative Representation Learning Framework for Energy Inefficiency Identification in Mobile Network Sites
- Almost Free State Prediction Separation
- Urban Boundaries, Social Barriers: A Benchmark and Vision-Centric Framework for Mapping Gated Communities and Equity Implications
- DCCQ: From Ordered Bernoulli Levels to Critical-Line Geometry: Integer Quantization, Bernoulli Residual Phase, and Prime-Power Spectra
- Govern the Model, Not Only the Data: Storage, Circulation, and Learning in Creative AI
- Transfiver: Human-AI Co-Inference through a Shared Editable State
- When Minute-Resolution Monitoring Meets Session-Level Injury Labels: Landmark-Based Discrimination in Elite Women's Football
- A Reverse Sign Language Dictionary: Open-Vocabulary Sign Recognition from Continuous Signing via Video Captioning and Description Retrieval
- Typological Feature Prediction with Large Language Models: An In-Context Learning Approach
- RealCADBench: Benchmarking Parametric CAD Modeling from Industrial Design Intents
- OBER+: Continuity-Aware Reporting and Traceable Continuous Improvement in Outcome-Based Education
- From Nowcasting to Forecasting: Adapting a Reanalysis-Trained
- Projected Riemannian Gradient Descent for the Bures-Wasserstein Barycenter: Dimension-Independent Linear Convergence at Unit Step Size
- ENEAS: Embedding-guided Neural Ensemble for Adaptive Segmentation
- KnowVis: Knowledge-Centric Visual Summarization for Video Lectures
- Fill My Mirror: Geometry-Constrained Mirror Inpainting
- Beyond BLEU: A Case for Redefining Sign Language Translation Benchmarks
- Genetic Algorithms for Tractable Bayesian Network Fusion via Pre-Fusion Edge Pruning
- Can LLMs Extract Architectural Design Decisions from Source Code Commits? - A Preliminary Exploratory Study
- Opening mind by opening architecture: analysis strategies
- Artificial Intelligence for Energy Optimization in Data Centers
- Counterfactual Routing Using Integer Programming with Constraint Generation
- Q-Edge: Symmetry-Reduced Quantum Simulation of Structured Extreme Dependence
- Federated Causal Discovery via Regression-Directed Cumulants
- Synthetic Semantic Supervision for Contrastive Code Representation Learning in Small Transformers: An Empirical Study
- Symmetries and Causality: Causal Effect Identification Beyond IID Data
- SignSeek: Learning Transferable Representations for Sign Dictionary Retrieval
- Observation-Conditioned Latent Energy Priors for Sparse Implicit Neural Shape Completion
- MetaStructAtlas: A Grounded 3D Vision-Language Dataset and Benchmark for Functional and Structural Reasoning in Whole-Body PET/CT
- Semantic-Aware Subgraph State Space Model for WSI Classification in Histopathology
- Resolution-Aware Experimental Design under Partial Identifiability
- DropClick: Semi-Automated One-Click Segmentation for Agricultural Robotic Data
- Understanding Autonomous Driving Datasets by Describing Differences between Image Subsets in Natural Language
- Do Video Generators Track the World Across Segments? A Benchmark and Method for World-State Reasoning in Video Continuation
- ARCOS: Zero-shot Boundary Localization for Corneal Layer Segmentation Across Optical Coherence Tomography Devices
- Cross-Dataset Transfer and Reliability of Explainable Artificial Intelligence for RhythmFormer Remote Photoplethysmography
- Local Updates, Global Learning (LUGL): Playing Games with non-incremental Learners
- Rethinking 3D Noise: Learning 3D-Aware Video Priors via Optimization-Free Morphological Perturbations
- PL-SCEA: Reconfiguring Pretrained Attention for Few-Shot Industrial Anomaly Detection
- Enhancing Financial Question Answering: A Novel Benchmark Dataset of Banks' financial statements
- The Impact of Synthetic Data Augmentation on Discourse-Pragmatic Function Classification
- Relative Prime Factorization and Finite-State Presentations under Fixed Finite-Monoid Observation
- Tree-VQ: Progressive Image Compression from Pretrained Vector Quantizers
- Analysis of Prompt Engineering for Drug Toxicity Prediction
- Residual neural networks overcome the curse of dimensionality for semilinear heat equations
- Test-time adaptation for speech enhancement with an autoregressive speech prior
- A computable representation of the physical laboratory enables verifiable workflows
- ToolDF: Tool-Integrated Reasoning for Mixed-Authenticity Audio Deepfake Detection
- Auditing Patient Privacy in Medical Generative Models: Scalable Memorization Detection with DeepSSIM++
- On the Interaction Between Model Compression and Test-Time Adaptation
- Neural-Network Maxent: a general extension with learned nonlinearity, applied to time-series for Desert Locust distribution modelling
- KhatianDoc: A Human-Verified Benchmark Diagnosing Multimodal LLM Failure on Bengali Legal Land Records
- How Far Can Synthetic Data Take Thai OCR?
- LevelSyn: Physical-Aware Logic Synthesis via Level-Asynchronous Graph Neural Networks
- Correlated initialization of deep residual networks
- Text2Thermal: Physics-Aware Thermal Image Synthesis from Textual Priors
- WeatherNext 3: Increasing resolution and performance of global weather models with raw observations
- HalluPeer: A Taxonomy-driven Benchmark for Detecting Hallucinations in Scientific Peer Reviews
- Language, Language Models, and What We're Talking About
- Occlusion-Robust Multimodal Emotion Recognition in VR via Fusion of Facial Images and EMG
- FlashRender: Few-Step Generative Rendering via Camera-Controlled Video MeanFlow
- WIDE: Wildcard Inference with Dynamic Expansion for Cross-Modal Generative Retrieval
- GPS-Bench: A Governance Policy Benchmark for Automating Policy Analysis
- Feature Reconfiguration With Visual Prior for Medical Lesion Segmentation
- TruncGradGS: Improved 3D Gaussian Splatting via Truncated Gradient Updates
- Coupled Scaling: A Representational Accessibility Framework for Neural Scaling Laws
- EPIC: Explicit Posterior Item Conditioning for Semantic ID Diffusion Recommendation
- Neural Video Compression Based on Deformable Temporal Alignment and Difference-aware Fusion
- Residual Optimal Transport-Based Experts Collaboration Towards Modality-Aware Infrared-Visible Object Detection
- LongCounsel-8: A Benchmark Suite for Longitudinal Depression Tracking from Multi-Session Counseling Dialogues
- An Adversarial Zero-Shot Learning Approach for Anomaly Detection in Multivariate IoT Traffic Data
- Restricted Eigenvalues Beyond Gaussian Width: Threshold Occupancy under Heavy Tails
- PPO-STGNN: A Proximal Policy Optimization Approach with Spatio-Temporal Graph Neural Networks for DAG Task Scheduling in Cloud-Edge-End Computing
- Building and Evaluating Fixed-Voice Thai TTS from Synthetic Speech
- BRIDGE: An Open-Source Humanoid Platform via Morphology-Control Co-Design for Physical AI
- Spectral characteristics of autoencoder parameters as a vector representation of data
- Pattern Over-Generalization of Knowledge Graph Embedding
- Air-Ground Collaborative Vision-and-Language Navigation via Shared Bird's-Eye Maps
- Tree species mapping in Denmark: A comparison of spectral-temporal features with geospatial foundation model embeddings
- AutoGraphForge: Towards Automated Graph Theory Discovery
- SafeRestore: Detector-Relative Risk Certificates for Selective Industrial Image Restoration
- Mind the Gap: Robustness Risks in PII Detection Systems
- BMCTrack-d: Pig re-identification and tracking via back marks in challenging camera settings
- Beyond "Made with AI": Visualizing Provenance Density to Mitigate the Transparency Penalty
- A Two-Stage Forecasting System for CPU Workload Prediction in Private Clouds
- The Psychological Costs of Artificial Intelligence Adoption in Software Engineering
- Preprocessing Failure and Adversarial Detection in Depthwise-Separable Edge Vision Systems
- STARS-GS: Structure-Aware Regularized Gaussian Splatting for Large-Scale Aerial Surface Reconstruction
- Preserving Knowledge across Space and Time for Continual Video Deepfake Detection
- OCR-EDR: Rendering-Aware Diagnosis and Repair for Closed-Loop OCR Improvement
- Guide, Not Bind: Why Defeasible Priors Fail in Augmented Lagrangian Causal Discovery
- Decoupled Analysis-Judging: An Automated Creativity Evaluator Using LLMs in Complex Multi-step Creativity Tasks
- When Do Frozen VLMs Respond to Image-Free Object-Token Edits? An Answer-Key-Free Protocol and What It Reveals
- TraveL: Transformer-based Multi-view Path Distributional Representation Learning
- Lngram v2: Latent N-Gram Memory with Interpretable Discrete Representations
- The Civilization Framework: Sovereign-Anchored Communication Between Personal Multi-Agent Systems
- Inferred Generative-Process Diversity Predicts Correlated Failure Across Language Models
- Privacy, Robustness, and Fairness Trade-offs in Federated Intrusion Detection: Geometric Indistinguishability at the Aggregation Interface
- Mudragen: Geometrically Supervised Generation of Interacting Two-Hand Mudras for Preserving Indian Classical Dance Heritage
- StrixAE: An Intelligent Agent for Audio Enhancement under Complex Distortion Coupling in Real-World Scenarios
- To What Extent Do Large Language Models Understand Bangla Idioms?
- Caught in the Story: Narrative Captivity in Multi-turn LLMs Conversation
- Neural-Collapse-guided Task-Free Continual Anomaly Detection
- A Prompt-Engineering Approach to Develop Scalable, Flexible, and Real-Time Hybrid Micro-Level Personalization in a General Purpose AI Teaching Assistant
- Spectral Convergence of Random Feature Method in Multiple Dimensions
- TabScope: Question-Adaptive Scope Selection for Table Question Answering
- Chiaroscuro for Emotions: A Contrastive Emotion Benchmark Grounded in Appraisal Theory
- Exploring the Potential of Contrastive Language-Image Pre-training for Multi-Source Remote Sensing Data
- Computing stable configurations of confined smectic liquid crystals with a deep variational framework
- FoRIS: Progressive Foreground Refinement for Training-Free In-Context Segmentation
- When Depth Hurts: Reliability-Aware Geometry Distillation for Depth-Free RGB-D Salient Object Detection
- SimpleDesign: A Joint Model for Protein Sequence and Structure Codesign
- FrameBench:A Language Understanding Benchmark Based on Frame Semantics
- Accountable AI with Grounded, Faithful, Consistent, Actionable Rationales: A Case Study in Clinical Trial Matching with VERDICT
- Grassmann--Pl"ucker Parametrization of Convolutional Filter Subspaces: Regularity and Closed Embeddings
- Time Without Timesteps: Simulating Coupled Dynamical Systems via Self-Consistency
- Efficient Constant Optimization for Symbolic Regression with GPU-Accelerated Tree-Based Genetic Programming
- From Zero to Hero: An Open LLM Ecosystem for Armenian
- P-CORE: Self-Supervised Surface Consistency for Point-Based Neural Editing
- Learning Informative Prior with Infinite-Dimensional Continuous Normalizing Flow for Bayesian Inverse Problem
- PointGT: Simultaneous Geometry and Texture Editing for Point-Based Representations
- A Large Open Multi-Energy Corpus of Soil Compaction Tests, with Machine-Learning Baselines
- Laplacian Frequency Hierarchies for Efficient 3D Gaussian Splatting Training
- Less Is Moral: A CHARMing Framework for Moral Foundations Detection in Endorsement Behaviour
- Introducing SINFONIA: Symplectic, slimplectic and Magnusian (Neural) Flows for Orbital Numerical Integration and Acceleration
- How Perturbations Propagate: A Multi-Level Analysis of Robustness in Large Language Models
- Decoupling Turn-Taking from Semantics: A Decoupled Data Approach for Finite-State-Machine-Based Full-Duplex Dialogue
- Beyond .WAV: Design and Software Verification of VocalCap, a Traceable Browser-Based Audio Capture System for Vocal Biomarker Research
- Geometry-Aware Graph Construction via Adaptive Spectral Bandwidth Control
- Tensor-based Brain Surface Modeling and Analysis
- Multilingual Agent System for Inclusive Wildfire Evacuation Guidance
- PACE: Towards Surfacing Hidden Conflicts in User Requests
- Contextual Tamil Spelling and Grammar Correction Using Progressively Fine-Tuned Sequence-to-Sequence Transformers
- Selective Hypergraph Refinement for Frozen Graph Clustering
- An Ensemble-Based Self-Taught Learning Approach for Parking Space Classification Under Limited Data
- What is Smoothness?
- B2B Customer Conversion Prediction: A Document Representation, Graph Theory, and CatBoost Driven Methodology
- Counting Animals in Camera-Traps Image Sequences without Count Labels: Winning Solution to the iWildCam 2021 Challenge
- The 2026 PNPL Competition: Word Classification and Efficient Cross-Subject Generalisation in LibriBrain100