Papers
Mon 6 Jul 2026
452 papers
- Agentic Scaffolding Amplifies Sycophantic Behavior in Large Language ModelsLLM agents and tool use → Social simulation and multi-agent debate
- On the Role of Citations in Preference DataLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Multimodal Hybrid Retrieval-Augmented Generation for Scientific Document Understanding using Open-Source SLMsRetrieval-augmented generation → Multimodal RAG
- Leveraging Offline Supervision for Efficient and Generalizable Reinforcement Learning in Large-Scale Vision-Language-Action ModelsVision-language-action models → Reinforcement learning and post-training +1
- BatteryLake: Agentic, Physics-Grounded Curation of Heterogeneous Battery Aging Data and BenchmarkingLLM agents and tool use → Medical and scientific domain agents
- When Agents Remember Too Much: Memory Poisoning Attacks on Large Language Model AgentsLLM agents and tool use → Agent threats, guardrails and governance
- AI for Cultural Heritage Textiles: Fine-Tuned Latent Diffusion for Novel Ulos Motif SynthesisDiffusion models → 3D, point cloud and scene generation
- Robust Face Super-Resolution and Recognition Through Multi-Feature Aggregation in Diffusion ModelsDiffusion models → Inverse problems and image restoration
- Beyond Heuristic Tuning: Power-Calibrated LLM WatermarkingLLM safety and security → Watermarking generated content and models
- Memory in the Loop: In-Process Retrieval as Extended Working Memory for Language AgentsLLM agents and tool use → Agent memory systems
- Deep Reinforcement Learning for Dynamic Battery Management of Autonomous Order PickersDeep reinforcement learning methods → RL for energy, networks and operations
- FirstResearch: Auditable Question Formation for LLM Scientific Discovery AgentsLLM agents and tool use → Web, search, and research agents
- From Conversation to Contribution: Characterizing Coding Agent in Open-Source SoftwareLLM agents and tool use → Software engineering coding agents
- Uncertainty-Aware Velocity Correction for Proprioceptive Vehicle Localization using Evidential MambaState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- What Do AI Agents Actually Change? An Empirical Taxonomy of Mutation Patterns in Performance-Improving Pull RequestsLLM agents and tool use → Software engineering coding agents
- Agents with Feelings? Personality and Emotion in Multi-Agent Software TeamsLLM agents and tool use → Software engineering coding agents
- Sensor-Adaptive Infrared Spectral Reconstruction with Plug-and-Play Diffusion PriorsDiffusion models → Inverse problems and image restoration
- A Coin Flip Per Token: Bernoulli Sparse Steering of Large Language ModelsMechanistic interpretability → Activation steering methods
- BaFCo: A Document Understanding Benchmark for Complex Bangla Form ComprehensionMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Dynamics and Convergences for Markov Coevolutionary Opinion Formation Games in Dynamic Social NetworksDeep reinforcement learning methods → RL for games and combinatorial optimization
- Narrative World Model: Narratology-Grounded Writer Memory for Long-Form FictionWorld models → World models for language agents
- Foundation Models for Automatic CAD GenerationMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart GridsDeep reinforcement learning methods → RL for energy, networks and operations
- Self-Review Reinforcement Learning (SRRL) with Cross-Episode Memory and Policy DistillationDeep reinforcement learning methods → RL training of language and agent models
- aiAuthZ: Off-Host, Identity-Bound Authorization for AI AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Light-Omni: Reflex over Reasoning in Agentic Video Understanding with Long-Term MemoryLLM reasoning → Multimodal reasoning +1
- Ground3D-LMM: Fine-Grained 3D Point Grounding and Spatial Reasoning with LMMLLM reasoning → Spatial and embodied reasoning
- PatchOptic for Shared-State LLM Workflows with Projected Views and Verified Structured UpdatesLLM agents and tool use → Software engineering coding agents
- TypeGo: An OS Runtime for Embodied AgentsLLM agents and tool use → Multimodal and embodied agents
- Decision Protocols in Multi-Agent Large Language Model ConversationsLLM agents and tool use → Social simulation and multi-agent debate
- KAT-Coder-V2.5 Technical ReportLLM agents and tool use → Software engineering coding agents
- Learning 4D Geometric Priors for Inference-Efficient World Action ModelsWorld models → Embodied and robot world models
- BioSecBench-Refusal: A paired metric for performance and alignment in agentic biosecurity risk assessmentLLM agents and tool use → Medical and scientific domain agents
- From Fixed to Free Cameras: Calibration-Free View-Robust Vision-Language-Action ModelVision-language-action models → 3D and spatial-aware VLA
- Weak-to-Strong Generalization via Direct On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- LLM-as-a-Verifier: A General-Purpose Verification FrameworkLLM reasoning → Test-time compute and efficient thinking
- Deform360: A Massive Multi-view Visuotactile Dataset for Deformable World ModelsWorld models → Embodied and robot world models
- Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual GenerationLLM agents and tool use → Multimodal and embodied agents
- What Does a Discrete Diffusion Model Learn?Diffusion models → Diffusion foundations and sampling
- CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon AgentsLLM agents and tool use → Reinforcement learning for LLM agents +1
- Cortex: A Bidirectionally Aligned Embodied Agent Framework for Long-horizon ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA +1
- MV-Forcing: Long Multi-View Video Generation via 4D-Grounded Spatio-Temporal Self-ForcingDiffusion models → Video generation
- Fitted Occupancy-Ratio Evaluation without Bellman CompletenessOffline RL and imitation learning from data → Offline RL algorithms +1
- PixWorld: Unifying 3D Scene Generation and Reconstruction in Pixel SpaceDiffusion models → 3D, point cloud and scene generation
- GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation TasksLLM agents and tool use → Multimodal and embodied agents
- Selective Disclosure Watermarking for Large Language ModelsLLM safety and security → Watermarking generated content and models
- Multiplayer Interactive World Models with Representation AutoencodersWorld models → Video-generation world models and simulators
- Beyond Isolated Objects: Relationship-aware Open Vocabulary Scene Understanding via 3D Scene Graph AnalysisMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- TREK: Distill to Explore, Reinforce to RefineLLM reasoning → Prompting and chain-of-thought reasoning
- PiSAs: Benchmarking Contextual Integrity in Multi-User Agentic SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Evaluating and Understanding Model Editing for Medical Vision Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- MetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill EvolutionLLM agents and tool use → Agent skill learning and evolution +1
- Untrusted Content Masking for Web Agents with Security GuaranteesLLM agents and tool use → Agent threats, guardrails and governance +1
- Erasing Without Collateral Damage: Precise Concept Removal in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Adaptive Inference Batching using Policy GradientsDeep reinforcement learning methods → RL for energy, networks and operations
- Is the Geometry Doing the Work? An Operating-Point Audit of Hierarchy in Hyperbolic Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- SteelBench: Evaluating Vision-Language Models in Real-World Industrial EnvironmentsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- FUSE: FK-Steered Multi-Modal Flow Matching for Efficient Simulation-Based Posterior EstimationDiffusion models → Flow matching, time series and science
- Branch-JEPA: Finite-Support Predictive Distributions for JEPA World ModelsWorld models → Latent predictive world models
- A Multimodal Reasoning Typology for Grounding Chart-Image Coherence in Science CommunicationLLM reasoning → Multimodal reasoning
- EvoAgentBench: Benchmarking Agent Self-Evolution via Ability TransferLLM agents and tool use → General LLM agent frameworks and benchmarks
- Reason, Reward, Refine: Step-Level Errors Corrections with Structured Feedback for Physics Reasoning in Small Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- When Claws Remember but Do Not Tell: Stealthy Memory Injection in Persistent Personal AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Latent Programming Horizons in Coding AgentsLLM agents and tool use → Software engineering coding agents
- Rethinking On-Policy Self-Distillation for Thinking ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
- VLM-CASE: Vision-Language Model Enabled Context-Adaptive Safety Envelopes for Anticipatory Safe Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World EnvironmentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- The Changing Role of Symbolic Methods in Artificial IntelligenceLLM reasoning → Reasoning benchmarks and evaluation
- Claim-Level Rubric Rewards for Video Caption Reinforcement LearningLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment +1
- DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive GenerationEfficient LLM inference and serving → Speculative decoding
- PDEFlow: Autonomous Agentic PDE Pipelines for Neural Operator Learning and Solver-Free InferenceLLM agents and tool use → Web, search, and research agents
- UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality GenerationWorld models → World models for autonomous driving
- When Agents Lie: Premeditation, Persistence, and Exploitation in Repeated GamesLLM agents and tool use → Social simulation and multi-agent debate
- TacReasoner: A Dynamic Tactile-Language Framework for Interactive Reasoning in Real-World ScenariosLLM reasoning → Spatial and embodied reasoning
- Green for Go, Red for No: Visual Grounding via Semantic Segmentation for VLA Navigation PoliciesVision-language-action models → 3D and spatial-aware VLA
- Agent Data Injection Attacks are Realistic Threats to AI AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Communication-Aware Placement and Pruning for Efficient Mixture-of-Experts InferenceMixture-of-experts → Efficient MoE training and inference systems
- Localized LoRA-MoE: Block-wise Low-Rank Experts With Adaptive RoutingMixture-of-experts → Mixture of LoRA experts
- TimeThink: Reasoning with Time for Video LLMsLLM reasoning → Multimodal reasoning
- RADIANCE: Relative Adaptive Denoising with IP-Adapter for Novel Concept EnhancementDiffusion models → Image generation, text-to-image and editing
- MIRAGE: Defending Long-Form RAG Against Misinformation PollutionRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Diffusion-Guided Uncertainty-Aware Delayed Policy OptimizationDeep reinforcement learning methods → Deep RL algorithms and representations
- KVpop -- Key-Value Cache Compression with Predictive Online PruningEfficient LLM inference and serving → KV cache optimization
- Consistent and Editable: A Balanced Framework for Text-Guided Video EditingDiffusion models → Video generation
- Toward Trustworthy Large Language Model Agents in HealthcareLLM agents and tool use → Medical and scientific domain agents
- RUFNet: Query-Guided Support Mask Refinement and Uncertainty Fusion based on Hybrid Mamba for Few-Shot Brain Tumor SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Your Agent's Memories Are Not Its Own: Forged Reasoning Attacks on LLM Agent Memory and DefensesLLM reasoning → Reasoning for agents, planning and code +1
- Knowledge Knows, Verbalization Tells: Disentangling Latent Directions for Mathematical Solvability in LLMsLLM reasoning → Mathematical reasoning
- TACTIC-KG: Toward Small Agent Teams for Cyber Threat Intelligence Knowledge Graph ConstructionLLM agents and tool use → Agent threats, guardrails and governance
- Non-Convex Sparse Reinforcement Learning via Non-Monotone InclusionsDeep reinforcement learning methods → RL theory and sample complexity
- Joint Velocity Slope Diffusion Prior for Structurally Constrained Velocity Model BuildingDiffusion models → Flow matching, time series and science
- Qantara: Bridge-Flow Training for Multi-Paradigm JEPA ControlWorld models → Latent predictive world models
- A Comprehensive Study of Implementation Bugs in Multi-modal AgentsLLM agents and tool use → Software engineering coding agents
- STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent TrainingLLM agents and tool use → Reinforcement learning for LLM agents
- Look-Ahead-Freedom as Temporal Non-Interference: A Verifiable Correctness Property for Backtesting and Agentic Trading PipelinesLLM agents and tool use → Financial trading and forecasting agents
- Real-World Perturbation Testing of Autonomous Driving SystemsEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- You Frame It: How Conceptual Representations Shape LLM Detection and Reasoning about AntisemitismLLM reasoning → Hallucination detection and mitigation
- Lightweight ML-Based Automatic Sleep Staging Framework with Constrained CNN and Mamba for Small-Sample EEG DatasetsState-space sequence models (S4, Mamba) → Physiological signal modeling
- DSWAM: A Dual-System World Action Foundation Model for Fine-Grained Robot ManipulationWorld models → Embodied and robot world models +1
- Medi-Gemma: A Hybrid Clinical Decision Support System Integrating Deterministic EMR Analytics and Retrieval-Augmented GenerationRetrieval-augmented generation → Medical and biomedical RAG
All 452
- RL-Ballast: Ship Ballast Water Path Planning and Clog Prediction via Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and BetterMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- PRISM: Personalized Robotic Dataset Generation via Image-based Scene and Motion SynthesisVision-language-action models → Human-video and latent-action pretraining
- EventCoT: Event-centric Video Chain-of-thought for Reasoning Temporal LocalizationLLM reasoning → Multimodal reasoning
- PAGE: Towards Practical Human-level Gaze Target EstimationKnowledge distillation → Multimodal distillation
- CARL: Constraint-Aware Reinforcement Learning for Planning with LLMsLLM reasoning → Reasoning for agents, planning and code
- CAC-VLA: Context-Gated Action Conditioning for Vision-Language-Action ModelsVision-language-action models → Reinforcement learning and post-training
- TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Compressed Computation under L4 Loss is likely Computation in SuperpositionMechanistic interpretability → Sparse autoencoder training and evaluation
- An Exploration of Agentic Information Fusion for Test Maintenance PredictionLLM agents and tool use → Software engineering coding agents
- A Temporal Reasoning Benchmarking Framework for LRMs via Difficulty-controlled and Dynamic Test GenerationLLM reasoning → Test-time compute and efficient thinking
- Non-Asymptotic Error Bounds for SMC with Biased Proposals: Application to Conditional Diffusion SamplingDiffusion models → Diffusion foundations and sampling
- DGSeg: Dynamic Gating of Semantic-Spatial Guided Predictions for Reasoning SegmentationLLM reasoning → Multimodal reasoning
- Non-asymptotic Convergence of Stochastic Gradient Descent in Score-based Generative ModelsDiffusion models → Diffusion foundations and sampling
- Cam2Sim: Neural Scenario Reconstruction for Closed-Loop Autonomous Driving SimulationWorld models → World models for autonomous driving
- Multi-Turn On-Policy Distillation with Prefix ReplayLLM agents and tool use → Reinforcement learning for LLM agents +1
- AgenticPD: A Stage-Aware Agentic Framework for Physical Design QoR OptimizationLLM agents and tool use → Software engineering coding agents
- Trust Region Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- FM-ChangeNet: Learning Change through Pathwise Feature TransportLLM reasoning → Spatial and embodied reasoning
- Spatial Attention: Adapting Execution Horizons for Diffusion Policies via Observation SensitivityDiffusion models → Diffusion and flow policies for robotics +1
- When Does High-CFG Diffusion Inversion Fail? A Controlled Study of Prompt--Latent InteractionsDiffusion models → Image generation, text-to-image and editing
- RustMizan: A Compilable, Contamination-Aware Benchmarking Framework for Rust VulnerabilitiesLLM agents and tool use → Agent threats, guardrails and governance
- Turning Off-Policy Tokens On-Policy: A Plug-in Approach for Improving LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- FORGE: Research-Trajectory Hijacking Attacks on Deep Research AgentsLLM agents and tool use → Agent threats, guardrails and governance
- RSPO: Reward-Swap Policy Optimization for Multi-Turn LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Integrated Altruistic and Fairness Preference Induces Advanced Mutual Cooperation in Sequential Social DilemmasDeep reinforcement learning methods → RL for games and combinatorial optimization
- Strategic Buying AgentsLLM agents and tool use → Financial trading and forecasting agents
- AI Agent Pull Requests on GitHub: Frequency, Structure, and Merge Conflict RatesLLM agents and tool use → Software engineering coding agents
- Solve the Missing First Step: Can VLMs Standardize Raw Heterogeneous Medical Data?Multimodal LLMs / vision-language models → Medical vision-language models
- A Reliable Context-Aware and Temporal Planning Framework for Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- ToolFailBench: Diagnosing Tool-Use Failures in LLM AgentsLLM agents and tool use → Tool learning and function calling
- Failing to See or Failing to Know? Attributing Errors in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Do Vision-Language-Action Models Mean What They Say? On the Role of Faithfulness in Embodied ReasoningLLM reasoning → Spatial and embodied reasoning +1
- FormalRx: Rectify and eXamine Semantic Failures in AutoformalizationLLM reasoning → Mathematical reasoning
- Enhancing Video Physical Consistency via Role-aware Joint Training and Modality-decoupled DenoisingDiffusion models → Video generation
- KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot ManipulationWorld models → Embodied and robot world models +1
- Retroactive Chain-of-Thought (RetroCoT): Forensic Reconstruction Prompts as a Safety Diagnostic Across Model GenerationsLLM reasoning → Reasoning for agents, planning and code +2
- Wrong Before Right: Late Rescue and Interface Failure in Aligned Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- PixelPilot: Scalable Vision-Language-Action Models for End-to-End Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +3
- Enhancing Large Multimodal Models in Key Information Extraction via Scene-Aware Document SynthesisMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Exploiting Structural Properties for Efficient Constraint-Aware HNSW Hyperparameter TuningRetrieval-augmented generation → Vector search and ANN indexes
- Hierarchical Evidence-Driven Reasoning for Long Document UnderstandingRetrieval-augmented generation → Multimodal RAG
- Can LLMs Really Recover Microservice Failures? A Recovery-Aware Evaluation of Diagnosis-to-Action ReasoningLLM reasoning → Reasoning for agents, planning and code
- StructuredEdit: Constraint-Aware Graphic Design Editing via Differentiable Parameter PropagationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- RoboVista: Evaluating Vision Language Models for Diverse Robot ApplicationsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SEAM: Smooth Execution of Action-Chunked Motion for Vision-Language-Action PoliciesVision-language-action models → Efficient VLA inference and adaptation
- Do All Visual Tokens Matter Equally? Object-Evidence Preserving Token Merging for Vision-Language RetrievalEfficient LLM inference and serving → Visual token pruning in multimodal models
- TORINO: Token Reduction via Interpretable Concept Overlap in Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +2
- Simple-to-Complex Structured Demonstrations for Vision-Language-Action LearningVision-language-action models → Human-video and latent-action pretraining
- Attention Limited Reward LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Progressive Disclosure for LLM-Maintained Wiki Knowledge Bases: a Preregistered AblationLLM agents and tool use → Web, search, and research agents
- A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-TrainingLLM agents and tool use → Reinforcement learning for LLM agents +1
- Context-Masked Truncated Reasoning Audits for Answer-Key Dependence in LLM TutorsLLM reasoning → Mathematical reasoning
- QSVideo: Query-Conditioned Semantic Temporal Retrieval for Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- EVTradeMatch: A Mobility-Aware Multi-Objective Matching Framework for EV--EV Energy Trading
- How Much Does Corpus Choice Change Dependency-Distance Estimates?
- RL-ADA: A World-Feedback Framework for Adversarially Robust Enterprise Dialogue Agents
- Dual-Form ASR: Semantics-Aware Inverse Text Normalization for Chinese Speech Recognition
- GROUND: Reducing Hallucinations in LLM-Based Enterprise Analytics Through Governed Semantic Definitions
- Bounded Sovereignty and the Control Tax: Pricing AI Oversight When the Deployer Does Not Own the Model
- How to Navigate Uncertainty About AI Consciousness
- Robust Metaheuristics under Uncertainty for Berth Allocation and Quay Crane Assignment: A Review
- An Investigation of the NeurIPS and ICML 2025 Position Tracks
- A Framework for Using and Evaluating LLMs as Surrogate Experts in Security Surveys: Reliability, Bias, and Implications
- Plausible but Not Valid: A Psychometric Audit of LLMs as Synthetic Survey Respondents
- BCMT: Blockwise Causal Memory Transformer
- AI Evaluation Should Work With Humans
- BCIJelly: An integrated ecosystem for brain-computer interface research
- EU-ETS under attack? The impact of carbon price suppression on the decarbonization of the power sector
- KumbhDoot: A Scale-Ready, LLM-Bounded Architecture for Mass-Gathering Public-Service Assistants
- Forgetting Is Not a Fix: Path Dependence in Sequential Engram Editing
- Bumblebee: Interleaved Mixed-Layer Building Blocks for Large-Scale Recommendation Systems
- SciClaimSeekers at CheckThat! 2026: Retrieving Scientific Sources for Social Media Claims with LLM Reranking
- SourceMinds at CheckThat! 2026: NLI-Grounded Citation Auditing in a Multi-Agent Pipeline for Full Fact-Checking Article Generation
- Influence of Prompt Engineering on Small Language Models for Guarded Query Routing
- When Thinking Before Retrieval Hurts: TraceBound Diagnostics for Adaptive Knowledge-Graph Retrieval
- AIR-BENCH Live: An Evolving Safety Benchmark for Foundation Models
- The Active Ingredient in Muon's Grokking
- When Does Consensus Beat Voting? A Critical Analysis of Statistical Label Fusion in Medical Image Segmentation
- Predictive single cell foundation model for gene regulation and aging with privacy-preserving tabular learning
- QDEvo: A Multi-Objective Quality-Diversity Framework for Automated Heuristic Design
- Physics-Informed Structure Anchoring With Capture-Aware Prototype Calibration for Cross-Environment RF Fingerprinting
- ReflectWorld-MM: An Entity-Oriented Multimodal Memory System for Open-Ended Video Streams
- LLM-Driven Evolutionary Generation of Multi-Objective Bayesian Optimization Algorithms
- Collective Intelligence with Foundation Models
- SPL: Orchestrating Workflows with Declarative Deterministic-Probabilistic Composition
- Non-contact, Real-time, Heart-rate Measurement using Image Processing with Commodity Cameras and AI Agents
- Reconfigurable Radiology Labels Without Relabeling
- Calibration-Family Overfit: Why Trusted Sabotage Monitors Don't Transfer Across Lineages
- LipSSD: Lipschitz-Constrained Single-Shot Detection for Adversarially Robust Object Detection
- IMR: Iterative Mode-World Weighted Regression for Multi-Agent Trajectory Prediction
- Curating Same-Family Neural Networks for LLM-Guided Model Improvement: A Controlled Case Study
- Exact computation of posterior distribution of mixture weights in hierarchical Bayesian models
- Where to cut, how deep: BPE and Unigram-LM on chemistry SMILES
- UCSC NLP at SemEval-2026 Task 10: Boundary-Aware Span Extraction and RoBERTa Classification for Conspiracy Detection
- Depression Symptoms and Relational Patterns in 187k ChatGPT Histories
- Beyond Accuracy: How Humans Evaluate Legally Correct but Socially Controversial Legal Advice from Machines
- RPAM: A Principled Metric for Evaluating Associations in Language Models with High Predictive Validity in Downstream Outputs
- Clustered Codebook Quantization for 2D Gaussian-based Image Compression
- Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors
- Integrating GNSS-Derived Zenith Wet Delay into a Weather Foundation Model Improves Precipitation Forecasting
- Orthogonal Dendritic Intrinsic Networks: An Architecture for Significance-Ordered, Orthogonal Latent Spaces
- REVIVE: A Multi-Modal Framework for Vandalism Detection and Recovery in Autonomous Vehicles
- Domain-Adaptive Climate Downscaling Under Temporal Distribution Shift
- Do It Right! A Methodology for Successful NLP System Development
- VEIL: How Visual Encoding Hijacking Induces Bias In Vision Models
- EvalLoop: A Methodology for Evaluation-Driven Iterative Improvement of Business AI Systems
- Recovering Cloud Microstructures with Cascaded Diffusion Inversion
- Intuitionistic Fuzzy Graph Embedded Random Vector Functional Link with Multiview Learning
- Taxlifier: Leveraging Disease Taxonomy for Enhanced Multi-Label Classification in Chest Radiography
- Population-Level Profiling of DSM-5 Depressive Symptoms Among Self-Reported ADHD and ASD Users on Twitter: An Exploratory Study Using Advanced NLP and Statistical Analysis
- Cross-Contextual Vision-Language Adaptation with LoRA for Personalized Severe Adverse Event Detection in Clinical Wound Monitoring
- NAVER LABS System Re-implementation for the IWSLT 2026 Instruction-Following Task
- Safe Bayesian Optimization with Counterfactual Policies
- SafeImpute: Reliable Clinical Data Imputation via Conformal Selection
- Revisiting the Relation Between Language Model Perplexity and ASR Word Error Rate for Modern End-to-End Speech Recognition
- To Retain or to Adapt? Generalizing Continual Learning
- Patch Knowledge Transfer for Efficient AI-Generated Image Quality Assessment
- SSA-3DGS: Unsupervised Removal of Screen-Space Artifacts for 3D Gaussian Splatting
- DBNN: Neural Spike Classification Using a Deep Binarized Neural Network
- Hierarchical Classification via Cascading Feature Elimination: Application to Human Phenotype Ontology-Aligned Facial Phenotyping (FaceMesh2HPO)
- ResonatorLM: Causal Resonant Field Mixing for Efficient Long-Context Language Modeling
- Whose fairness? Structural concentration in AI bias research
- CSTutorBench: Benchmarking Small Language Models as Tutors for Block-Based Programming
- Prompting Image Generators for Training-free Primitive Shape Abstraction
- From Graphs to Gradients: Physics-Inspired Structural Attribution for Cyber-Physical IoT Systems and Beyond
- EquiFiLM: Charge-Conditioned Equivariant Force Fields via Feature-wise Linear Modulation
- Prompt Robustness Is Task-Dependent: Comparing Objective and Belief-Style Questions in LLM Evaluation
- The yes-no bias of large language models reflects answer order and wording, not shifts in moral judgment
- Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity
- Most LLM Conformity Needs No Speaker: Measuring the Speaker-Free Floor in Peer-Pressure Benchmarks
- GEM-Occ: From Visual Geometry Evidence to Embodied Semantic Occupancy Memory
- Higher-Order Certified Robustness for Regression
- Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models
- λ-VAE: Variance Equalization for Posterior Collapse
- Rendering-Aware Bayesian 3D Gaussian Splatting with Native Uncertainty and Adaptive Complexity Control
- Statistical Adversaries: Natural Backdoor-like Adversarial Features in Clean Vision Datasets
- Lean-Quantum: Toward AI-Assisted Formalization of Quantum Information
- Black Hole Black Boxes: Numerical Black Hole Metrics via AInstein Neural Networks
- SHARC: SHAP-Based Interpretability in Machine Learning Risk Models for Regulatory Capital under ICAAP and CCAR
- Full-range Binary Classifier Calibration for Stable Model Updates in Production
- Privilege and confidentiality in generative AI workflows
- InvWeaver: Deductive Feedback for Invariant Synthesis in Interacting-Loop Programs
- Parameter-Free Encoders Remain Viable for RDB Foundation Models
- Is Your NPU Ready for LLMs? Dissecting the Hidden Efficiency Bottlenecks in Mobile LLM Inference
- Binocular Gaze Estimation with Single Camera and Single Light Source
- Breaking Structural Isolation: Scalable Graph Clustering via Community-Aware Sampling and Structural Entropy
- A Task-Driven Evaluation of UAV Detection and Tracking under Synthetic Fog
- CanvasAgent: Enabling Complex Image Creation and Editing via Visual Tool Orchestration
- Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes
- AdaStop: Cost-Aware Early Stopping for DNN Test Selection
- Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification
- SynCity 3000: Bootstrapping Scene-Scale 3D Diffusion
- InFlux++: Real and Synthetic Data for Estimating Dynamic Camera Intrinsics
- TabPack: Efficient Hyperparameter Ensembles for Tabular Deep Learning
- SPEARBench: A Benchmark for Naturalness Evaluation in Streaming Speech-to-Speech Language Models
- REDDIT: Forgetting-Resistant Correction of Timestamp Drift in ASR via Replay-Based Distribution Editing
- SovereignPA-Bench: Evaluating User-Owned Personal Agents under Evolving Intent, Platform Mediation, and Consent Constraints
- Graph Sparse Sampling: Breaking the Curse of the Horizon in Continuous MDP Planning
- ReCal3R: Reliability-Calibrated Learning Rates for Streaming 3D Reconstruction
- Faithfulness to Refusal: A Causal Audit of Neuron Selectors
- Geometric Reciprocity: Unlocking Self-Supervision for Stereoscopic Video Generation
- WildSplat: Feedforward Gaussian Splatting from Unposed In-the-Wild Images
- OptiAgent: End-to-End Optimization Modeling via Multi-Agent Iterative Refinement
- How Far is Too Far? Defining the Distance Threshold for Verification Siamese Networks
- CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection
- Steering Optimisation Trajectories in Diffusion Representation Learning
- Shape Over Intensity: Directional Topological Encoding for False Positive Reduction in Intracranial Aneurysm Detection
- How Much is Left? LLMs Linearly Encode Their Remaining Output Length
- Locally Private Online Quantile Regression: Estimation and Inference
- Deep Learning for Semen Analysis in Male Infertility: Computer Vision, Multimodal Fusion, and Clinical Translation
- Quantum Spectral Anomaly Detection
- Biologically Informed Deep Neural Networks for Multi-Omic Integration, Pathway Activity Inference and Risk Stratification in Cancer
- Learning Only What Valid Adapters Can Express: Subspace-Constrained Adaptation Against Fine-Tuning Poisoning
- Air Quality Downscaling with Station-Guided Pseudo-Supervision
- ChatImage: Navigating Long-Form LLM Answers through Interactive Images
- Wavelet Scattering Transform for Interpretable Schizophrenia Biomarker Discovery and Classification from Resting-State EEG
- Routing Anonymity and Identifiability of Noisy Quantum Hardware
- Advances in Neural Controlled Differential Equations
- Emputation: Identification-Guided Neural Imputation Framework
- ProPS: Prompted Profile Synthesis for Natural Language-Conditioned Speaker Embedding Distributions
- Target-Guided Selective Reweighting for Physics-Informed Neural Network Inverse Problems: A Transfer Learning Approach
- Learning Probabilistic Embeddings for Unsupervised Action Segmentation
- FlowMark: Mask-Guided Video Watermarking
- Shifting from Discrete to Continuous Reference Data: QSM-Derived Horizontal Tree Biomass Distribution for Deep Learning Biomass Estimation
- SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis
- GeoFlow: Geo-Aware Modeling of Inter-Area Relationships in Origin-Destination Flow Prediction and Generation
- Repurposing CLIP to Localize at Pixel Level
- Privacy-Preserving Robustness Verification for Neural Networks
- Streaming Neural Speech Codecs through Time-Invariant Representations
- Vision Pretraining for Dense Spatial Perception
- GUSH3R: Everyone Everywhere All at Once as Gaussians
- CanniUplift: A Holistic Framework for Mitigating Seller and Incentive Cannibalization in E-commerce Uplift Modeling
- Optimizing ML Workload Partitioning between CPUs and CIM Accelerators for Heterogeneous Computing
- Video-based detection of cessation of breathing in pre-term infants using machine learning
- msPCA: An R Package for Sparse PCA with Multiple Components
- The Exact Worst-Case Tail Probability under Bounded Kurtosis
- Progressive Refinement: An Iterative Pseudo-Labeling Approach for Mandarin-English Code-Switching ASR
- Curated retrieval versus open web search in public AI information services: a coverage-trust trade-off
- Probing Geospatial SSL Representations with Environmental Signals
- An Event-Driven Framework for Fly-Inspired Visual Motion Detection
- Causal-RetiGraph: Cross-Cohort Retinal Support and Same-Subject Pathway Analysis for Diabetic Retinopathy
- FlatManifold: Robust Continual Learning under Severe Label Noise and Domain Shifts via Intrinsic Manifold Flattening
- Noisy-Channel Minimum Bayes Risk Decoding
- Unified Audio Intelligence Without Regressing on Text Intelligence
- SMART: A Machine Learning and Monte Carlo Framework for Rapid Analysis of Stochastic Transistor Aging and Process Variation in Digital Circuits
- ClassicLogic: A Knowledge-Driven Benchmark of Classic Puzzle Games for Evaluating Compositional Generalization
- Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets
- CP-WSP: A Declarative CP-SAT Framework for Configurable Multi-Constraint Workforce Scheduling
- FSDC-DETR: A Frequency-Spatial Domain Collaborative DETR for Small Object Detection
- Platonic Projection Structures: Operator-Induced Observability in Representation Learning
- RABBiT: Rapidly adaptive BOLD foundation model via brain-tuning for accurate zero-shot and few-shot prediction of speech-elicited responses in the brain
- MeGA-MP: Metric Graph Advection Message Passing -- A Physics-Informed Message Passing Operator for Advection-Dominated Metric Graphs
- Physiological Noise Augmentation Improves Non-Invasive Brain-to-Speech
- Open Problems in AI Incident Governance
- EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments
- Geometric Causal Models
- Fully Rotation-Equivariant Spectral-Spatial Learning for Multispectral Object Detection
- Physically-Relevant Information Learning in High-Dimensional Time-Derivatives Spaces
- Three-Phase Evaluation of AI-Assisted Software Development Life Cycle
- ASSEMCAD: Production-Ready CAD Assembly Generation from Natural Language
- Rating the Pitch, Not the Product: User Evaluations of LLMs Reflect Expectations More Than Performance
- Grokking Is Conditional and Fragile: A Fully-Tractable, Multi-Seed Study at 12K Parameters
- Choosing a parallel heterogeneous ensemble method for tabular classification
- Counterfactual Methods for Detecting Unfairness in Anti-Money Laundering Algorithms
- AIFS-SUBS: Extending Data-Driven Forecasting to Sub-Seasonal Timescales
- Directly Optimizing Mean Demographic Parity for Nonlinear Regression
- FAST: A Holistic Framework for Optimizing Memory-I/O, Computation, and Sampling in Temporal GNN Training
- Video-Text Temporal Localization via Multi-Scale Convolution and Dynamic Routing
- Be Indiscrete: The Benefits of Learning Continuous Spine Degeneration Severity Scores
- Computing Monetary Risk Measures in Linear Time
- LangLoc: "Tell Me What You See"
- Beyond Independent Labels: Schwartz-Geometry Decoding for Human Value Detection
- CollabEval: Statistically Efficient Collaborative Model Evaluation via Matrix Completion
- Multi-Large Language Model Orchestrated Severity Assessment of Clinical Records (MOSAIC)
- LLM-Based Test Oracles: Source-of-Authority Taxonomy -- A Systematic Literature Review
- Uncertainty-aware damage identification in short-span bridges via physics-informed variational autoencoder
- Beyond Modality Fusion: Deep Ensembles for Multimodal Classification
- Hyperparameter Transfer in Graph Neural Networks
- ImputeECG: Deep Learning Reconstruction of Complete 12-Lead Electrocardiograms from Incomplete Recordings for Cardiac Assessment
- Comparison of Loss Functions for Robust Deep Learning-based Echocardiography Segmentation when Learning with Partially Labelled Data from Multiple Domains
- Quantum-Inspired Harmonic Decision Models: A Computational Framework for Music Generation
- Unsupervised Pixel-Level Semantic Left-Right Understanding of In-the-Wild Images
- Geometry-aware Depth-guided Representation Learning for Structure-preserving Low-light Image Enhancement
- Canonical quantization of neurons
- The Map Behind the Flow: Finite-Step Gradient Descent as a Dynamical System
- Data-Driven Soft Labeling Scales DNA Read Classification to Whole-Body Cell-Type Deconvolution
- The syntax of wh-agreement in Yemeni Ibbi Arabic
- Virtual Category-Guided Continual Generalized Category Discovery
- LLM for the development of FCM
- Geometry-Aware Bayesian Quantification via Compositional Data Analysis
- Multi-Robot Open Adaptive Teaming Across Unseen Environments, Partners, and Scales
- Train Smarter, Not Longer: Memorization-Guided Data Reuse for Efficient LLM Training
- Who's Behind It? Annotating and Extracting Conspiratorial Actors from German Telegram Posts
- Identification and Bounding of Central Moments of Causal Effects Using Marginal Moments Information
- When Words Predict Workload
- Sensitivity Sampling with Predictions for k-Means Clustering
- Using Process Mining to Generate AI Agents from Software Engineering Process Records
- DuplexChat: Constructing Speaker-Separated Full-Duplex Dialogue Speech at Scale for Spoken Dialogue Language Modeling
- MemPose: Category-level Object Pose Estimation with Memory
- Input Pathways Shape Few-Shot, Not Zero-Shot, Binding in Tiny Transformers: A Fully-Enumerable Study
- UniSpine-GS: An Efficient Physics-Aware Gaussian Framework for Cross-Modality Multi-view Spine Image Synthesis
- Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing
- When Do Foundation Models Pay Off? A Break-Even Analysis of Pretrained Time Series Forecasters
- Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction
- 3DMPE: 3D Multi-Perspective Embedding
- Ossetic-COT: Designing a morphologically annotated corpus and morphological analyzer for Ossetic
- ProCon: Projection-Consistency Memory for Training-Free Anomaly Detection
- Evaluating Large Language Models for Antisemitic Incident Classification
- Unsupervised Detection of Underground Tunnels in Ground-Penetrating Radar Using Depth-Restricted Reconstruction Scoring
- On the Complexity of Low-Rank Matrix Signing and Entrywise Power Matrix Factorization
- Active Learning on Adversarially Corrupted Graphs
- Enhancing the Forecasting Capability of Multi-Model Blending Algorithms for Extreme Precipitation via Joint Use of Station and Gridded Observations
- Framework for Grouping Local Process Models
- SleepBand: Single-Source Domain Generalization for Sleep Staging via Physiologically Structured Spectral Modeling
- SynSFX: Multi-Model Sound Effects Synthesis Dataset for Deepfake Detection and Evaluation
- Pretraining Curricula Enable Selective Fine-tuning
- Energy Accuracy Is Not Enough: A Structure-Aware Benchmark and Evaluation Protocol for Quantum Architecture Search
- Representing and Detecting Label Ambiguity in IMU-Based Exercise Evaluation
- Semantic Homogenization in Italian Popular Music: A Diachronic Analysis
- Probably Correct Optimal Stable Matching under Two-Sided Uncertainty
- KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning
- Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers
- Evaluating the Effect of Linguistic Relatedness on Cross-Lingual Transfer in Large Multilingual Automatic Speech Recognition
- Hybrid Deep Learning for Traceability and Classification of Industrial Slate Tiles
- Context-Constrained Transfer Learning for Tabular Foundation Models via Data Distillation
- Predicting Drafted Deck Strength for "Magic: the Gathering"
- Towards Personalized Differentially Private Learning for Decentralized Local Graphs
- MARLIN: De Novo Molecular Structure Elucidation from Tandem Mass Spectra without a Ground-Truth Formula
- SLAM: Structured and Localized Analytic Manifold Adaptation for Forgetting-Immune and Domain-Robust Lifelong VPR
- DeGenseGS: Geometrically and Semantically Decoupled Surgical Scene Understanding in 4D Gaussian Splatting
- Continual Model Merging with Test-Time Adaptation for Whole-Slide Image Analysis
- MergeSurv: Merging-Based Continual Learning for Survival Analysis on Whole-Slide Images
- Route-MHT: Multimodal Transformer Guardrails for Thermal Visual Place Recognition
- Stabilized Higher-Order Influence Functions: Statistical Theory of a Class of Bilinear Forms
- DriftST: One-Step Generative Inference of Spatial Transcriptomics from H&E Histology
- Wasserstein Residuals: Learning Gradient Flows from Population Dynamics
- Identifiability of Relational Queries in Multi-View Pretraining
- LP-SFT: Keeping Plausible Alternatives Alive in Supervised Fine-Tuning
- SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction
- Dashboard2Code: Evaluating Multimodal Models on Reconstructing Interactive Dashboards
- What You See Is What You Get: Observation-Aligned Supervision for Chart-to-Code Generation
- Reference-Induced Consensus for Selective Posed-Reference Visual Localization
- Geometry-Aware Motion Latents for Learning Robust Manipulation Policies
- Learning Probabilistic Prompt for Continual Learning
- Hierarchical Scaffolding Enables Human-Like Cognitive Selectivity under Data Scarcity
- F-ACVAE: A Federated Adaptive Conditional Variational Auto-Encoder for Privacy-Preserving Intrusion Detection in IoT Networks
- Probe-EM: Targeted Neuron Tracing via Training-Free Semantic Verification
- From Open Loop to Closed Loop: A Test-Time Iterative Optimization Framework for Reference-Consistent Image Generation
- PAST-TIDE: Prototype-Anchored Statement Tuning with Topic-Invariant Normalization for Stance Detection
- URSA: Chemistry-Aware Benchmark for Utilitarian Retrosynthesis Assessment
- TubeLite: Lightweight Multi-Actor Spatio-Temporal Action Detection
- A Physics-Regulated Neural Framework for Learning 3D Grain Growth Dynamics
- AnyStyle: A Single LoRA is Sufficient for Image-Guided Style Transfer
- ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing
- Video Generation Models Are Inherent Lighting Estimators
- GlaKG: A Biomarker-Centric Fundus Knowledge Graph for Explainable Glaucoma Diagnosis and Risk Assessment
- Elastic Gang: Per-Token Membership Change for a Hard-Barriered LLM Inference Gang Co-Scheduled with OS Processes
- DiCE-CIR: Direct Composition Learning for Efficient Zero-Shot Composed Image Retrieval
- Targeted Structure Completion for Sparse-View 3D Reconstruction in Autonomous Driving
- Decomposition for Bayesian Networks: Local and Parallel Inference
- Machine Learning for Depression Screening and Intervention: an Original Circadian Rhythm Score-based Methodology
- Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data
- Learning Flexible Generalization in Video Quality Assessment by Bringing Device and Viewing Condition Distributions
- Learning Structured Visual Compositional Representations for Weakly Supervised Referring Expression Comprehension
- Aperture-aware Dispersion 5-D Light-field Imaging Spectrometer
- Formal Disco: Scalable Open-Ended Generation of Formally Verified Programs
- Reliability and Identifiability in Persona-Trained Monte Carlo: Variance Decomposition, Stability Bounds, and the Identifiability of Heterogeneous News Reaction
- CARD: Cross-component Audio Representation Distillation for Encoder-Free Audio Captioning
- MRMS: A Multi-Resolution Memory Substrate for Long-Lived AI Agents
- SILO: Simulation-in-the-Loop Sim-to-Real Transfer for Multi-Stage Cable Routing
- Governed Individuation: Cryptographically Decoupling an Agent's Learning from Its Authority
- Integrated Forward-Inverse Network for Lensless Image Reconstruction
- G2VD: Generalizable AI-Generated Video Detection via Counterfactual Intervention and Causal Disentanglement
- CompressedVQA-AEV: Full-Reference and No-Reference Quality Assessment Models for Asymmetric Encoded Videos
- LCPNet: Latent Consistent Proximal Unfolding Network for Infrared Small Target Detection
- Measuring What Matters: A Unified Evaluation Framework for GNN Explainability
- Displacement Preserving Relational Distillation for Robust Medical Segmentation
- Breaking the One-Dimensional Expressibility-Trainability Tradeoff
- Minimum Block Width for Universal Approximation by Residual Neural Networks with Inner Width One
- Score Distributions, Not Cells: Evaluating Single-Cell Perturbations Under Class Overlap
- RAF: Reliability-Aware Fusion of Camera, LiDAR, and 4D RADAR for Robust 3D Object Detection in Adverse Weather
- MTEB-BR: A Text Embedding Benchmark for Brazilian Portuguese
- LLM-Driven CI-CD Workflow Intelligence for Cyber Systems Engineering
- Beyond the Need for Speed: Energy-Aware Code Generation via Simulation-Guided Reinforcement Learning
- Characterizing the Temporal, Emotional, and Social Patterns of Adolescent Substance Use Discussions on Reddit
- Fidelity-Diversity Metrics for Text
- Heaviside Continuity of Rolling Coefficients for Eliminating Epistemic Entropy in Large Language Models
- Can temporal article-level credibility signals improve domain-level credibility prediction?
- EEG-SpikeAgent: Agentic Closed-Loop Program Synthesis for Automated EEG Spike Detection
- Predicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation Representations