Papers
Thu 16 Jul 2026
350 papers
- LaSeD: Label-Semantic Self-Distillation for Visual-Only Surgical Phase RecognitionKnowledge distillation → Distillation for medical imaging
- MechSparse: Mechanism-Guided Sparse PEFT Selection Is Task-ShapedMechanistic interpretability → Circuits and mechanistic analysis
- Does Moral Reasoning Training Help or Hurt? Red-Teaming RL-Trained Ethical Agents with Persona AttacksLLM agents and tool use → Reinforcement learning for LLM agents +1
- Physics-Aware Video Generation via Agentic Planning and Graph-Guided OptimizationDiffusion models → Video generation +1
- PersonaMem-v3: Toward Omni-Platform Personal Intelligence for Holistic User Understanding, Recommendation, and Agentic TasksLLM agents and tool use → Agent memory systems
- Learning Agent Execution for KV-Cache Management in Agentic ServingLLM agents and tool use → Software engineering coding agents +1
- AEVAL: From Anecdotal to Deterministic Testing for Agentic Skill WorkflowsLLM agents and tool use → Agent skill learning and evolution
- VarRate: Training-Free Variable-Rate KV Cache Compression for Long-Context LLMsEfficient LLM inference and serving → KV cache optimization
- Diffusion models recover accurate mixture weights despite score function insensitivityDiffusion models → Diffusion foundations and sampling
- ADS-C: Antidistillation Sampling for ClassificationKnowledge distillation → General knowledge distillation methods
- From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert SystemsDeep reinforcement learning methods → Interpretable and logic-guided RL
- Robust Peak-cost Constrained Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Prediction-Only Distillation in Linear and Logistic RegressionKnowledge distillation → General knowledge distillation methods
- Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in MemesLLM reasoning → Multimodal reasoning
- Do Coding Agents Need Executable World Models, Simplification, and Verification to Solve ARC-AGI-3?World models → World models for language agents +1
- Coercion and Deception in AI-to-AI Management: An Agentic Benchmark of Unprompted EscalationLLM agents and tool use → Social simulation and multi-agent debate
- DrawingVQA: A Real-World Benchmark for Multi-Depth Visual-Textual Reasoning on Construction DrawingsLLM reasoning → Spatial and embodied reasoning +1
- Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math ReasoningLLM reasoning → Reasoning for agents, planning and code
- Reasoning-Guided Part-Level Visual Grounding via Reinforcement LearningLLM reasoning → Multimodal reasoning +1
- AnovaX: A Local, Multi-Agent Voice Assistant with LLM Planning, Typed Executors, and Adaptive RecoveryLLM agents and tool use → General LLM agent frameworks and benchmarks
- Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World TrajectoriesVision-language-action models → Generalist VLA models and benchmarks
- Co-Design of Aeroelastic Systems with Deep Reinforcement LearningDeep reinforcement learning methods → RL with diffusion and flow models
- Hierarchical Denoising For Multi-Step Visual ReasoningLLM reasoning → Multimodal reasoning
- Partition, Prompt, Aggregate: Statistical Self-Consistency in Language ModelsLLM reasoning → Test-time compute and efficient thinking
- SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent CollaborationLLM agents and tool use → Web, search, and research agents
- HoloGeo: Mitigating Landmark Bias in Geo-localization via Evidence-Driven ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Bridge Evidence: Static Retrieval Utility Does Not Predict Causal Utility in Multi-Step Agentic SearchLLM agents and tool use → Web, search, and research agents
- AutoSynthesis: An agentic system for automated meta-analysisLLM agents and tool use → Web, search, and research agents
- ARMOR++: Agentic Orchestration of a Multi-Domain Primitive Set for Transferable Attacks on Deepfake DetectorsLLM agents and tool use → Agent threats, guardrails and governance
- When Words Are Safe But Actions Kill: Probing Physical Jailbreak Beyond Textual Jailbreak in Hidden-State Risk SpaceLLM safety and security → Jailbreaking
- Symbal: Detecting Systematic Misalignments in Model-Generated CaptionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- BadWAM: When World-Action Models Dream Right but Act WrongWorld models → World model security and GUI agents
- Self-Evolving Human-Centered Framework for Explainable Depression Symptom AnnotationSynthetic data and self-improvement for LLMs → Medical synthetic data and agents
- Mask-Aware Policy Gradients for Diffusion Language ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
- Plover: Steering GUI Agents through Plan-Centric InteractionLLM agents and tool use → GUI and mobile agents
- Benchmarking Multimodal Large Language Models for Scientific Visualization LiteracyMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- On-Policy Delta DistillationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning +1
- Setup Complete, Now You Are Compromised: Weaponizing Setup Instructions Against AI Coding AgentsLLM agents and tool use → Software engineering coding agents
- Improving Weak World Models Behind Strong Agents in Atari PongWorld models → Latent dynamics models and model-based RL
- Digital Pantheon: Simulating and Auditing Coalition Formation with LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate +1
- Evaluating covariate balance for long time horizon Markov decision processesOffline RL and imitation learning from data → Offline RL algorithms +1
- BrainPilot: Automating Brain Discovery with Agentic ResearchLLM agents and tool use → Medical and scientific domain agents
- DriftWorld: Fast World Modeling through DriftingWorld models → Embodied and robot world models
- Beyond Single Expert: Harmonizing Diverse Visual Priors in MLLMs for Spatial UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Weakly-Supervised RGB-D Salient Object Detection via SAM-driven Pseudo Annotation and State Space Interaction-based DiffusionDiffusion models → Image generation, text-to-image and editing
- CosFly-VLA: A Spatially Aware Vision-Language-Action Model for UAV TrackingVision-language-action models → Aerial and drone VLA
- SMC-ES: Automated synthesis of formally verified control policiesDeep reinforcement learning methods → Safe and constrained RL
- AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor FlightWorld models → World models for navigation
- OmniaBench: Benchmarking General AI Agents Across Diverse ScenariosLLM agents and tool use → General LLM agent frameworks and benchmarks
- On Success and Simplicity: A Second Look at Transferable Vision-Language Attack PipelineMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- U-shaped Multi-granularity Learning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image GenerationDeep reinforcement learning methods → RL with diffusion and flow models
- Optimal Self-Distillation for Rectified Flow via Linear ProbingDiffusion models → Flow matching, time series and science +1
- Steering Robustness into World Action Models via Mechanistic Interpretability and Optimal ControlWorld models → Embodied and robot world models +1
- TanGO: Training-Free 3D Editing via Tangent-Space Guidance and OptimizationDiffusion models → 3D, point cloud and scene generation
- Human-Robot Interaction in GenAI Architectures via the Agent-Client ProtocolLLM agents and tool use → General LLM agent frameworks and benchmarks
- Show Me How You Reason and I'll Tell You Who You Are: Reasoning Graphs for Robust LLM Authorship AttributionLLM reasoning → Knowledge- and tool-augmented reasoning
- FirmPilot: Evidence-Guided Multi-Agent Environment Recovery for IoT Firmware RehostingLLM agents and tool use → Software engineering coding agents
- FlashDecoder: Real-Time Latent-to-Pixel Streaming Decoder with TransformersDiffusion models → Video generation
- StructureClaw: Traceable LLM Agents and an Executable Benchmark for Structural Engineering WorkflowsLLM agents and tool use → Multimodal and embodied agents
- Leveraging Instruction Tuning and Merging for Reasoning Model AdaptationLLM reasoning → Reinforcement learning for reasoning
- Proof-or-Stop: Don't Trust the Agent, Trust the Evidence -- Loop Engineering for Verifiable Evidence-Gated Lifecycle ControlLLM agents and tool use → Agent threats, guardrails and governance
- PAC Learning in Turn-Based Stochastic Games with Reachability Objectives: A Decentralized Private Approach via Expected Conditional DistanceDeep reinforcement learning methods → RL for games and combinatorial optimization
- The Energy Society: A Simulation Environment for Studying Agent Cooperation under Survival PressureLLM agents and tool use → Social simulation and multi-agent debate
- Towards Human-like Physical Intelligence: Lifelong Vision-Language-Action Learning for Robotic ManipulationVision-language-action models → Reinforcement learning and post-training
- Is External Database Protection Static in Retrieval-Augmented Generation? Rethinking Privacy Preservation under Dynamic QueriesRetrieval-augmented generation → Privacy and security of RAG
- Transcoders for Investigating Deception in Language ModelsMechanistic interpretability → Probing deception, bias and beliefs
- SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents +2
- Rare Concept Generation via Counterfactual Inference in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- AI vs Human Expert Reasoning: Assessing Agreements in Building Typology Predictions based on Street View ImageryLLM reasoning → Spatial and embodied reasoning +1
- FoMoVLA: Bridging Visual Foresight and Motion Guidance for Vision-Language-Action ModelsVision-language-action models → World model-based VLA
- GeoDetect: Geometric Adversarial Detection for VLPsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- CoTu at EXACT 2026: Neuro-Symbolic Reasoning for Transparent Educational QALLM reasoning → Reasoning benchmarks and evaluation
- WorkDrive: Roadwork Chain of Causation for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- BridgeFlow: Fast and Robust SE(2)-Equivariant Motion Planning with Flow MatchingDiffusion models → Diffusion and flow policies for robotics
- Does Multi-Agent Debate Improve AI Feedback on Research Papers?LLM agents and tool use → Web, search, and research agents
- VideoSEMA: a scalable and efficient Mamba-like attention for video understandingState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Gold-Guided Programmatic Distillation for Financial Reasoning over Hybrid Tables and TextLLM reasoning → Reasoning for agents, planning and code
- Reinforcement Learning for the Full Strawberry Harvesting Process: Obstacle Separation, Detachment, and PlacementDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Lights, Camera, Malfunction: When Illumination Robustness Leaves VLA Models Blind to ColorVision-language-action models → Safety and adversarial attacks
- Reflex: Real-Time VLA Control through Streaming InferenceVision-language-action models → Efficient VLA inference and adaptation +1
- ReBind: Multi-Reference Video Editing via Structured Instructions with Explicit Reference RelationshipsDiffusion models → Video generation
- TopoAgent: A Self-Evolving Topological Agent for Multimodal Scientific ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +2
- Trajectory-Aware Flow Matching for Topology OptimisationDiffusion models → Flow matching, time series and science
- MemPoison: Uncovering Persistent Memory Threats and Structural Blind Spots in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- D-cut: Adaptive Verification Depth Pruning for Batched Speculative DecodingMixture-of-experts → Efficient MoE training and inference systems +1
- NavCMPO: Critic-Guided MeanFlow Policy Optimization for Adaptive NavigationDeep reinforcement learning methods → RL with diffusion and flow models
- MCPEvol-Bench: Benchmarking LLM Agent Performance Across Dynamic Evolutions of MCP ServersLLM agents and tool use → Tool learning and function calling
- Analytic Abduction: Causal Decomposition and Governed Commitment for Human--AI CoordinationLLM reasoning → Reasoning benchmarks and evaluation
- Action QFormer: Structured Representation Shaping under Action Supervision in Vision-Language-Action ModelsVision-language-action models → VLA architectures and generalization
- Bad Memory: Evaluating Prompt Injection Risks from Memory in Agentic SystemsLLM agents and tool use → Agent threats, guardrails and governance +1
- MagicPrompt: Ultra-Lightweight Prompt Tuning for Video GenerationDiffusion models → Video generation
- Multi-LLM Collaborative MRI Report Generation for Visual Instruction Tuning in Brain OncologyMultimodal LLMs / vision-language models → Medical vision-language models
- Advanced Image Generation: Negative Prompt Optimization and Latent Classifier GuidanceDiffusion models → Diffusion foundations and sampling
- Sharp Stability Threshold and Certification for Designing Stable Residual ArchitecturesState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Collaborative Spatial Learning with Multi-LLM Agents in Networked Social ExperimentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Alipay-PIBench: A Realistic Payment Integration Benchmark for Coding AgentsLLM agents and tool use → Software engineering coding agents
- A Modern Multimodal Assistant on a 6 GB 2011 GPU: Stage-Validated, All-GPU CUDA Inference for FermiMixture-of-experts → Efficient MoE training and inference systems
- MARS: Multi-hop Adaptive Retrieval and SPARQL Generation for KGQALLM reasoning → Knowledge- and tool-augmented reasoning
- Seeing the End at Step Zero: Accelerating Diffusion MLLMs via MLP Sparsity-Aware TruncationLLM reasoning → Diffusion reasoning and test-time scaling +1
All 350
- Answer-Conditioned Chains of Thought Degrade Verifiable-Reasoning Distillation in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
- HyMobileAgent: Data-Environment Co-Scaling for Efficient GUI AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- AdaTurn: Budget-Aware Test-Time Scaling for Active Visual Perception AgentsLLM reasoning → Multimodal reasoning
- SafeRelBench: A Spatial-Relation-Aware Benchmark for Process-Level Safety in VLM-Driven Embodied AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- xHC: Expanded Hyper-ConnectionsMixture-of-experts → Expert routing strategies
- A Continuous-Time Reinforcement Learning Framework for Fine-Tuning Discrete Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
- VTM-Nav: Harnessing Cross-Episode Experience for Object-Goal Navigation with Hierarchical Visual-Topological MemoryMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- RetroAgent: Harnessing LLMs to Search Over Structured Memory for Agentic Retrosynthesis PlanningLLM agents and tool use → Medical and scientific domain agents
- VLT: A Vision-Language-Time Series Multimodal Foundation Model for Industrial IntelligenceMixture-of-experts → MoE for time series and graphs
- Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable RewardsLLM reasoning → Reinforcement learning for reasoning
- Contextualized Evaluation of Vision Language Models through Dynamic, Multi-turn InteractionsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Reinforcing Egocentric Spatial Perception in Multimodal Large Language Models via Ego Scene AugmentationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL GenerationLLM agents and tool use → Web, search, and research agents
- Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation EvaluationLLM safety and security → Prompt injection and agent security
- Safe Execution of RL Policies Via Acceleration-Based CBF-QP Constraint Enforcement for Real-World Robotic DeploymentsDeep reinforcement learning methods → Safe and constrained RL
- Step-Level Preference Learning for Generative Agents in Social SimulationsLLM agents and tool use → Reinforcement learning for LLM agents +1
- Lower-Resource, Higher Scores: Language Bias in LLM EvaluatorsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Beyond Generalist LLMs: Specialist Agentic Systems for Structured Code Workflow ExecutionLLM agents and tool use → Software engineering coding agents
- Motion Planning with Model-Based Diffusion via Constraint Optimization and Adaptive SchedulingDiffusion models → Diffusion and flow policies for robotics
- Tactile: Giving Computer-Using Agents Hands and FeetLLM agents and tool use → GUI and mobile agents
- The Automaton Underneath: The Additive Input Pathway Is a Parasitic Attractor for State Tracking in Householder Linear RNN
- BadQubits: An LLM-Based Framework for Static Pre-Execution Detection of Structurally Harmful Quantum Circuits
- No Usable Linear "Capitulation Direction" in Two Small LLMs: A Validation Protocol for Activation-Steering Claims, and a Cross-Family Behavioral Study of Sycophancy Under Pushback
- Talking Head Synthesis with Facial Landmark Guidance via 3D Gaussian Splatting
- Transformer-Based Token Fusion and Dynamic Graph Planning for Audio-Visual Navigation
- Novel hybrid protein scaffold gap filling using weighted machine learning ensemble, beam search, and mass-constrained reranking
- Refusal Is Not Robustness: Auditing Confident Fabrication in Large Language Models on a Provably Uninformative Clinical Pain Speech Transcript
- RoboShape: Information-Theoretic Point Cloud Representations for Privacy-Aware Robot Perception
- Global Index on Responsible AI 2026 : Conceptual Framework and Methodology
- Which CS1 Students Will Fail? Identifying Digital Markers from Learning Analytics in Computer Systems and Architecture Using Weighted Academic Momentum and Interaction Logs
- DINOv3-MIL: Per-Kidney Multi-Label Tumour and Cyst Detection from Foundation-Model Patch Tokens on KiTS23
- LaCache: Exact Caching and Precision-Adaptive Inference for Diffusion Large Language Models
- DMFNet: Dual-Backbone Multiscale Fusion Network for Urban Scene Classification
- Intentional Electromagnetic Interference Attacks on Facial Recognition
- An Auto-Scaling Approach for Serverless Environments Based on a Multi-Expert Consensus Mechanism
- LLM-Driven AutoML for Cross-Lingual Handwritten OCR: Closed-Loop Neural Architecture Search with GPT-5, GPT-4o, and Claude Sonnet 4
- Fast and Scalable Caputo Fractional Gradient Descent via Perturbation-Preserving Memory Compression
- Verbalizable Representations Form a Global Workspace in Language Models
- Trajectory-aware Cross-view Geo-localization with Sequential Observations
- Inpainting Insights: Elevating Visual XAI with Photorealistic Perturbations
- A Critical Analysis of Trustworthy AI Tools, Mark Frameworks, and the Implementation Chasms
- Deep Learning Approaches for Sleep Apnea Classification from Polysomnographic EEG Signals
- Ptolemy's Equant Equates to a Universal Dynamical Clock via Machine Learning
- FLINT: Fingerprinting Federated Learning Architectures from 5G PHY-Layer Side Channels
- Looped Latent Attention: Cross-Loop KV Compression for Looped Transformers
- Design-Based Supervised Learning with Noisy Human Labels
- Relevant and Irrelevant: A Renormalization Group Analysis of Transformer Attention
- LLM4EHR: Aligning Clinical Time Series with Medical Event Sequences via Large Language Models
- Who Became Financially Vulnerable After COVID-19? A Population-Level Machine Learning Analysis Using MEPS Data
- Stochastic Reset Pathfinding: Path-Level Regret for Cascading Bandits over Graph Paths
- From hyperplanes to hyperellipsoids: a pedagogical bridge from linear classifiers to single-qubit mixed-state classifiers
- Proactive Inpatient Bed Requests for Emergency Department Admissions
- qZACH-ViT: Quantization-Aware Intrinsic Explanations with Recursive Attribution-Stabilized Optimization
- Dataset-Origin Signatures and Shortcut Learning in Screening Mammography AI: A Cross-Dataset Case Study
- AI Trading: Evaluating Large Language Models for Technical Market Analysis
- Regularity-Aware Stochastic MGDA with Adaptive Conflict-Avoidant Update Direction Control
- Explicit Over Implicit: Enhancing CNNs Via Complex Structure Tensor Representations for Periocular Recognition
- Closed-Loop Bayesian Bandit Encoder with GRAND Receiver for a Bursty Interference Channel
- GS-RealBlur: A Flexible Data Acquisition Framework for Real-World Image Deblurring
- Unsupervised Keypoints for Real-Time Fall Detection: Comparative Analysis Under Real-world Conditions with Predictive Bandwidth Reduction
- Partial Information Decomposition as a Multi-Contrast 3D MRI Selection Strategy for Resource-Constrained Deep Neural Network Training in Brain Tumor Segmentation
- Interpretable and Calibrated Classification of Clinical Data Using Supervised Feature Binarization
- Improving Network Anomaly Detection via Choquet-Integral-Based Feature Aggregation
- Large Language Models as Unified Multimodal Learners for Clinical Prediction
- On the Impact of Entropy-based Features
- Training-Free Open-Vocabulary 3D Point-Cloud Segmentation on the Generalized Few-Shot Benchmark
- Lazy Arithmetic using Systolic Arrays for Closing the Verification Gap on Embedded Systems
- Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection
- RoboTTT: Context Scaling for Robot Policies
- MeanFlowNFT: Bringing Forward-Process RL to Average-Velocity Generators
- SciDiagramEdit: Learning to Edit Scientific Diagrams from Paper Revisions
- Online Neural Space Time Memory for Dynamic Novel View Synthesis
- New Snake-in-the-Box Records via Snakepit Surgery and Learned Construction
- Motion-Conditioned Multi-View Fusion for Myocardial Infarction Localization from Echocardiography
- Pretraining Data Can Be Poisoned through Computational Propaganda
- SceneBind: Binding What and Where Across Vision, Audio and Language
- Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents
- Decoding Market Emotion from Blockchain Activity: A Data-Driven Sentiment Classifier
- teLLMe Why (Ain't Nothing but a Jam): Exploratory Causal Analysis of Urban Driving Data
- Mutable Low-Rank Sketches for Retrain-Free Recommendation
- Beyond the Leaderboard: Design Lessons for Trustworthy Multimodal VQA
- TikStance: A Multimodal and Hierarchical Dataset for Multi-target Stance Analysis in TikTok Political Conversations
- Language Identification via Compositional Data Analysis: A Linear-Time Classifier Based on Log-Ratio Geometry
- In-Place Tokenizer Expansion for Pre-trained LLMs
- CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift
- Data Driven Block Replacement Scheduling
- Divergent Gaze Patterns in Artistic Viewing: Spatial and Temporal Signatures of Attention Across Autistic Individuals, Artists, and Neurotypical Observers
- Structural-Semantic Reciprocal Learning for Unsupervised Visible-Infrared Person Re-Identification
- NeuronSoup: Evolving Asynchronous, Shared-Neuron Temporal Graphs without Backpropagation
- MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos
- Expanding the Lexicon of Ge'ez Based African Languages: A Comparative Study of Amharic and Tigrinya
- Delocalization of bias in unadjusted Hamiltonian Monte Carlo and underdamped Langevin
- MM-IssueLoc: A Controlled Benchmark for Evaluating Visual Evidence in Multimodal Repository-Level Issue Localization
- Subjective Risk Decomposition: A New View for Uncertainty Quantification
- Can We Trust Item Response Theory for AI Evaluation?
- RTS Smoother-Guided Learning of Physics-Based Neural Differential Models
- T^2MLR: Transformer with Temporal Middle-Layer Recurrence
- Linear representations of grammaticality in neural language models
- MedFailBench: A Clinician-Built Open-Source Benchmark for Medical AI Safety Boundary Inspection
- The Industrialization of Research ; On AI-Driven Science and Its Consequences
- Scaling Behavior Foundation Model for Humanoid Robots
- Grokipedia vs Wikipedia: An LLM-Based Audit of Political Neutrality along Ideologies
- Ray-based phase error correction for miniaturized DOE projector-based FPP under single-directional hyperbolic projection
- DAPGNet: Dynamic Adaptive Physics-Guided Graph Diffusion Network for Hyperspectral Image Classification
- NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference
- Learning in Infinitesimal Non-Compositional Sketches
- Long-Context Fine-Tuning with Limited VRAM
- QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration
- AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning
- Rubrics on Trial: Evolving Rubrics from a Single Query via Synthetic Pairwise Evidence
- Quantifying Training Membership Information in the Hyperspherical Embedding Geometry of Face Recognition Models
- Towards Hierarchical Structure Understanding of Newspaper Images
- An Introduction to Sparse Identification of Nonlinear Dynamics for Engineering Applications
- ESAR: Event-Based Synthetic Aperture Reconstruction
- Kernel weighted importance sampling for off-policy evaluation in contextual bandits
- SUFLECA: Scaling Up Feature Learning for CAD-to-image Alignment
- ANet Patu-1: The Value of Connection in the Agent Network
- RoGS: Adaptive Meshgrid Gaussian for Large-Scale Road Surface Mapping
- Parameter-efficient Prompt Tuning of Vision Foundation Model With Adaptive Focal Loss for Interpretable MCI Screening
- Video = World + Event Stream
- Man, Machine, and Masterpiece: Artistic Ownership in the AI Era
- cGAP: Generalized Association Plots with HOMALS-Guided Heatmaps for Visualization of High-Dimensional Categorical Data
- When AI Blurs the Boundaries of Contribution: An Empirical Study of Authorship Calibration
- LQCDMaster: Agentic Scientific Computing for Lattice Quantum Chromodynamics Research
- Moral Attitudes of Sentient ASI towards Humanity and Implications for AGI Development
- Multimodal Semantic-Aware Contrastive Learning For False Negative Mitigation in 3D Medical Imaging
- JADE-GS: Joint Allocation of Deblurring Evidence for Event-Assisted 3D Gaussian Splatting
- Demographically-Conditioned Synthetic Medical Images for Bias Mitigation and Bias Detection in Disease Classifiers
- From Draft to Draft-Free: One-Step Video Object Removal via Privileged Distillation and Fast Planting
- CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models
- Explaining Process Control Optimisation Recommendations via GradientSHAP and Implicit Differentiation
- Stitch-Inferencer: Enhance Endoscopic Video Segmentation and Tracking via Panoramic Reconstruction
- Latent Trajectory Discrimination for AI-Generated Text Detection
- Contextualized Early Detection of Online Firestorms: A Sequential LLM-Based Approach
- LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget
- DINE: Distance Is Not Enough -- Learning Global Deformation Priors for Robust Soft-Tissue Point Cloud Registration
- Introspective Attention Modulation for Safe Text-to-Image Generation
- Frequency-Structured Field Learning for Light-Field Disparity Estimation
- Causal Inference for Sequential Settings under Interference and Latent Confounding
- A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems
- VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding
- Still image and spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels
- Benchmarking Face Recognition without Real Faces
- Random Logit Scaling: Defending Deep Neural Networks Against Black-Box Score-Based Adversarial Example Attacks
- Selectivity Drives Efficiency: Dataset Pruning for Visual Place Recognition
- Domain Adaptation of Mismatched Proximal Denoiser for Plug-and-Play Image Reconstruction
- Analytical study of the optimal combination of binary classifiers based on classifiers-induced partitioning of the training set
- Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs
- Reachability-Aware Pretraining for Efficient Target-Oriented Path Exploration in Temporal Knowledge Graph Reasoning
- Does generative AI supersede supervised XMLC? A Benchmark Study on Automated Subject Indexing with German Scientific Literature
- Measuring Spatial Clustering via Metropolis-Hastings Diffusion Distance
- Rotational Motion-Induced Error Compensation for Phase-Shifting Profilometry-Based Eye Reconstruction
- Asymmetric Peak-Aware Loss for Peak-Critical Time Series Forecasting
- Tamed Stochastic Gradient Hamiltonian Monte Carlo
- Subgrid-Scale Parameterization in Burgers' Equation Using Structure-Preserving Neural Networks and Entropy Variables
- RW-Voice-EQ Bench: A Real World Benchmark for Evaluating Voice AI Systems
- Physics-Informed Diffusion for Biomechanically Plausible 3D Sign Language Generation
- Interventional Causal Circuits for Safe Robot Action Testing and Failure Recovery
- Blurring Modal Boundaries: A Unified Survey from Single- to Multi-Modal Person Re-ldentification
- Can LLMs Build a MaxSAT Solver from Papers? The CoreForge Experience
- Evaluating Epistemic Uncertainty: Beyond OOD Detection and Active Learning
- Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality
- Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection
- An LLM-Based Automatic Sportscast Solution for Robot Soccer Matches
- TAMF-VTON: Texture-Aware Mask-Free Virtual Try-On via High-Fidelity Image Synthesis
- CrimeNER Demo: Named-Entity Recognition in the Crime Domain
- Global Index on Responsible AI: 2026 Report
- ChronoQG: Towards a Temporally Expressive and Hop-Bounded Benchmark for Temporal Knowledge Graph Question Generation
- Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition
- Clean-Reference Streaming Detection of Lens Occlusion and Photometric Transitions for Camera Tamper Monitoring
- Large Audio Language Models for Spoofing-Aware Speaker Verification
- WanSong v1.0 Technical Report
- Toward Energy-Efficient and Low-Power Arrhythmia Detection for Wearable Devices
- On the Disagreement in Perturbation-based xAI -- Benchmarking Perturbation Choices for Flood Detection from SAR Images
- GAttNHP: Group Attention Neural Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs
- What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity
- The Misclassification of Autistic Writing as AI-Generated
- VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios
- AE-UAV: An Air-to-Air Event-Based UAV Tracking Benchmark and a Real-Time Frequency-Domain Tracker
- Multimodality as Supervision: Self-Supervised Specialization to the Test Environment via Multimodality
- Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading
- Counterfactuals for Feature-Weighted Clustering
- Variational Inference for Bird's Eye View Segmentation in Autonomous Driving
- Harnessing LLMs for Reliable Academic Supervision: A Comparative Study
- MESHA: Mechanism-Enforced Sequential Halving for Strategic Linear Bandits
- Grad2Fair: A Gradient-driven Approach for Graph Fairness without Demographics
- Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Models
- Team RAS in 11th ABAW Competition: Multimodal Ambivalence Recognition Approach
- GlobalForge: Towards Robust AI-Generated Image Detection
- InCarEmo: A Multimodal Dataset for In-Cabin Emotion Recognition and Driver State Monitoring
- Stop Thinking, Start Looking: Efficient Post-Training for Multimodal Document Question Answering via Reasoning-Free Alignment
- An Intelligent-Cloud Edge Multimodal Interaction System for Robots
- Project Kaleidoscope: Contextual, Human-Aligned Evaluation for Real-World AI Applications
- Scalable Training of Continuous-Time Spiking Neural Networks with Differentiable Spike-Time Discretization
- SmartRAG: Native Graph-Based RAG for Mobile Device
- VIABench: A Comprehensive Video Benchmark Collected from Blind Individuals for Visual Impairment Assistance
- LLM-Driven Approach to Modeling Tool Interoperability in Automotive Domain
- Autoregressive Modeling of Film with Applications in Video Montage
- TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation
- Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling
- Knowing You at First Glance: Inferring Apparent Personality from Faces
- Routing Ceilings Are Domain-Independent: Structural Prior Injection in Code Security Vulnerability Detection
- ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM
- PolyQ: Codesigning End-to-End Quantization Framework for Scalable Edge CPU LLM Inference
- SportD: How do VLMs physically strategize?
- Beyond Entropy: Correctness-Aware Advantage Shaping via Contrastive Policy Optimization
- Angular Gaussian Supervised Contrastive Learning for Long-Tailed Electrocardiogram Arrhythmia Diagnosis
- Auditing Fairness-Privacy Trade-offs: Subpopulation-Level Effects of Fairness-Enhancing Algorithms
- Investigating first-language bias in LLM-based automated essay scoring: A cross-prompt evaluation of an open-weight AI-model on TOEFL essays
- Accelerating A/B-Tests with Counterfactual Estimation: Reducing Variance through Policy Overlap
- Hough-SIFT: Robust Image Registration for Linear Structures via Hough Space
- Memory-Driven Self-Disclosure and Relational Turning Points: A Longitudinal Multimodal Study of Human-AI Interaction
- How Well Does AI-Generated Feedback Work? Intrinsic and Extrinsic Evaluation across more than 20,000 EFL Essay Drafts
- Qubes OS Security in the Public Record
- Governing Artificial Intelligence: Public Preferences and Regulatory Options
- MathCoPilot: An Interactive System for Human-AI Symbiotic Paradigm of Mathematical Research
- Skeleton: Visual Authoring of Non-visual Data Experiences
- Penny: Transition Network Analysis of Learner-Chatbot Interactions in Scaffolded EFL Writing
- What Does Model Growth Really Add? Functional Capacity Beyond Parameter Count
- Democratizing Agent Deployment Safety: A Structural Monitoring Approach
- Probabilistic Physics-Informed Neural Networks for Estimating Heterogeneous Elastic Properties from Low-Resolution and Noisy Displacement Data
- Breaking the Model Forgetting Cycle in Long-Incremental 3D Object Detection
- Towards an Intention Abstraction Layer for Autonomous Industrial Systems
- CASP: Learning-Augmented Offline Approximation with Verifiable Certificates and Bounded-Loss PAC Guarantees
- 3D Geometric Tooth Alignment Planning via Deep Reinforcement Learning
- CityLLM: A framework for natural-language querying of semantic 3D city models
- Are LLM-Generated GPU Kernels Production-Ready? A Trace-Driven Benchmark and Optimization Agent
- MIDI-RAE-JEPA: Hierarchical Representation Learning and Generation for Symbolic Music
- Muse: Representation Geometry of Muon Beyond Normalized Momentum
- SwinAD: Multi-stage feature reconstruction for unsupervised industrial anomaly detection
- Controlled Reformulation Testing for Logical Consistency in Large Language Models
- Riesz-Kernel Stein Variational Gradient Descent: Renormalized Entropy and Long-Time Particle Limits
- WrAFT: a Modularized Automated Writing Evaluation System for Argumentative Essays
- Uni-AdaVD: Universal Concept Erasure for Visual Generation via Orthogonal Value Decomposition
- Adaptive Runge-Kutta Step Control Buys Training Loss, Not Generalization: An Honest Compute-Matched Study of RK-Adam Optimizers
- Compression of 3D Gaussian Splatting Data Using GPU-friendly Graphics Texture Coding
- Multi-Scale ViT Inference with Habitat-Fit Priors and kNN Retrieval for Multi-Species Plant Identification
- Manufactured Divisiveness: Decomposing the Hostile Content of Seven Social Media Influence Operations
- EdgeFaaS: A Function-based Framework for Edge Computing
- Full-data accuracy with fewer labels for training and fine-tuning machine-learning force fields
- Immediate 3D Gaussian Splat Reconstruction of Unordered Input with Global Consistency
- One-Shot Generative Design for Disordered Metamaterials via Self-Organizing Neural Cellular Automata
- Can Tokens Compete? Token Representations against Supervised CNN Backbones for BirdCLEF+ 2026
- G2SR: Geometric Methods for Fast and Memory-Efficient Gaussian-based Surface Reconstruction
- Interleaved Noise Injection Improves Clean, Corrupted, and OOD Performance
- Depth-Dependent Hidden-State Collapse in Dynamical System Autoencoders for LiDAR Point-Cloud Classification
- Precise sample covariance spectral norm error -- an RDT view
- Cotton-SF YOLO: Learning Structural and Frequency Cues for Early Cotton Square Detection in Complex Field Environments
- Active Real-World Factor-Based Evaluation for Generalist Robot Policies
- Global drivers and barriers to the public acceptance of autonomous vehicles: Evidence from 17 countries