Papers
Fri 5 Jun 2026
436 papers
- CIFQA: A Deterministic Tool-Grounded Multi-Agent LLM Framework for Financial Query AnsweringLLM agents and tool use → Financial trading and forecasting agents
- Latent Space Refusal Anchoring for Low-Resource African Languages: Mechanistic Safety Recovery Without RetrainingLLM safety and security → Safety alignment, refusal and guardrails +1
- Coarse-to-Fine Multi-Resolution Diffusion Models for Trajectory Generation in Urban SystemsDiffusion models → Diffusion and flow policies for robotics
- Position: The Alignment Community is Unintentionally Building a Censor's ToolkitLLM safety and security → Safety alignment, refusal and guardrails
- SAE-StatSteer: Statistical Consensus Feature Selection for Optimization-Free Activation Steering of Large Language ModelsMechanistic interpretability → Activation steering methods
- GraphContainer: A Unified Platform for Comparing and Debugging Graph RAG MethodsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- From Tools to Teacher-Built Teammates: No-Code Pedagogical Plugin Authoring with LearnAdapt Agentic Studio and PedOS 1.1 LuminaLLM agents and tool use → Educational agents and math problem solving
- Sifei at SemEval-2026 Task 8: Hybrid Retrieval and Query Rewriting for Multi-Turn RAGRetrieval-augmented generation → Generation and context integration
- Why Memory Components Fail: Eight Years of License and Sustainability Events in Open-Source Data InfrastructureLLM agents and tool use → Software engineering coding agents
- SPARC: A Multi-Agent System for Electrical Circuit Question AnsweringLLM reasoning → Reasoning for agents, planning and code +1
- Continuous Audio Thinking for Large Audio Language ModelsLLM reasoning → Audio-language model reasoning
- Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous NetworksLLM agents and tool use → Agentic AI for wireless networks
- NAVI-Orbital: First In-Orbit Demonstration of a Zero-Shot Vision-Language Model for Autonomous Earth ObservationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Is My Vision-Language Data in Your AI? Membership Inference Test (MINT) Demo 2LLM safety and security → Membership inference attacks
- C-MambaPose: A Physics-Informed Complex Mamba Framework for Cross-Environment WiFi Human Pose EstimationState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- On the Controllability-Fidelity Frontier in Diffusion EditingDiffusion models → Image generation, text-to-image and editing
- Less Context, More Accuracy: A Bi-Temporal Memory Engine for LLM Agents Where a Lean Retrieved Context Beats the Full HistoryLLM agents and tool use → Agent memory systems
- When Attribution Patching Lies: Diagnosis and a Second-Order CorrectionMechanistic interpretability → Knowledge and representations inside LLMs
- Contract2Tool: Learning Preconditions and Effects for Reliable Tool-Augmented LLM AgentsLLM agents and tool use → Tool learning and function calling
- TBD-VLA: Temporal Block Diffusion Vision Language Action ModelVision-language-action models → Efficient VLA inference and adaptation
- Strained Coherence: A Pre-Failure Signal in Coding Agent Execution TrajectoriesLLM agents and tool use → Software engineering coding agents
- Still: Amortized KV Cache Compaction in a Single Forward PassEfficient LLM inference and serving → KV cache optimization
- VisualFLIP: Do Predictions Depend on Task-Critical Visual Evidence in Multimodal Reasoning?LLM reasoning → Multimodal reasoning +1
- The Cold-Start Safety Gap in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- The Last Visible Pixel: Probing Fine-Scale Perception in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Teacher-Free Self-Training Amplifies but Does Not Compound: A Pass@K Crossover on a Free-Verifier DomainSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Path Planning Using Deep Deterministic Policy Gradient: A Reinforcement Learning ApproachDeep reinforcement learning methods → RL for robot navigation and UAV control
- Cost-Aware Speculative Execution for LLM-Agent Workflows: An Integrated Five-Dimension MethodLLM agents and tool use → Software engineering coding agents
- GRPO Does Not Close the Multi-Agent Coordination GapLLM reasoning → Reinforcement learning for reasoning +1
- RACT: Retrieval Augmented Column-Table Learning and Prediction for Multi-Table Schema MatchingRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Mitigating the Contractivity Trap in Diffusion ODEs via Stein StabilizationDiffusion models → Diffusion foundations and sampling
- Beyond Pass/Fail: Using Process Mining to Understand How LLMs Resist (and Fail) Red Team AttacksLLM safety and security → Prompt injection and agent security
- Representational Similarity and Model Behavior in Multi-Agent InteractionLLM agents and tool use → Social simulation and multi-agent debate
- Where Instruction Hierarchy Breaks: Diagnosing and Repairing Failures in Reasoning Language ModelsLLM reasoning → Reasoning benchmarks and evaluation +1
- Beyond Goodhart's Law: A Dynamic Benchmark for Evaluating Compliance in Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Improving Multimodal Reasoning via Worst Dimension OptimizationLLM reasoning → Multimodal reasoning
- Byzantine Cheap Talk: Adversarial Resilience and Topology Effects in LLM Coordination GamesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Evaluating RAG Reliability under Clean, Misleading, and Mixed RetrievalRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Why Limit the Residual Stream to Layers and Not Tokens? Persistent Memory for Continuous Latent ReasoningLLM reasoning → Test-time compute and efficient thinking
- A case study of evaluating AI agents on a neuroscience data-to-discovery pipelineLLM agents and tool use → Web, search, and research agents
- MatMind: A Structure-Activity Knowledge-Driven Generative Foundation Model for Materials ScienceDiffusion models → Flow matching, time series and science
- Rosetta Memory: Adaptive Memory for Cross-LLM AgentsLLM agents and tool use → Agent memory systems
- WhiFlash: Accelerating Speculative Decoding with Token-Level Cross-Paradigm RoutingLLM agents and tool use → Software engineering coding agents +1
- MLingualFC: Evaluating Jailbreak Vulnerabilities in Multilingual Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- SAW: Stage-Aware Dynamic Weighting for Multi-Objective Reinforcement Learning in Large Language ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Adversarial Robustness of Activation Steering in Large Language ModelsMechanistic interpretability → Steering and probing for LLM safety
- Struct-Searcher: Agentic Structural Thinking Advances Multimodal Deep Information SeekingLLM reasoning → Knowledge- and tool-augmented reasoning +1
- TRACER: Token ReAssignment for Concept ERasure in Generative RecommendationLLM safety and security → Membership inference attacks
- What Makes Video World Model Latents Action-Relevant: Prediction over ReconstructionWorld models → Video-generation world models and simulators
- How reliable are LLMs when it comes to playing dice?LLM reasoning → Test-time compute and efficient thinking
- Agentopia: Long-Term Life Simulation and Learning in Agent SocietiesLLM agents and tool use → Social simulation and multi-agent debate
- MemDreamer: Decoupling Perception and Reasoning for Long Video Understanding via Hierarchical Graph Memory and Agentic Retrieval MechanismLLM reasoning → Multimodal reasoning +2
- Affordance-Based Hierarchical Reinforcement Learning for Quadruped PedipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Unsupervised Continual Clustering via Forward-Backward Knowledge DistillationKnowledge distillation → Distillation for continual learning
- Whisper Hallucination Detection and Mitigation via Hidden Representation Steering and Sparse AutoEncodersMechanistic interpretability → Hallucination detection from model internals
- Planning-aligned Token Compression for Long-Context Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies +1
- Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research LifecycleLLM agents and tool use → Web, search, and research agents
- TEVI: Text-Conditioned Editing of Visual Representations via Sparse Autoencoders for Improved Vision-Language AlignmentMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Agentic Very Much! Adoption of Coding Agent in New GitHub ProjectsLLM agents and tool use → Software engineering coding agents
- Skill-3D: Evolving Scene-Aware Skills for Agentic 3D Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Watch, Remember, Reason: Human-View Video Understanding with MLLMsLLM reasoning → Multimodal reasoning +1
- Sparsely gated tiny linear expertsMixture-of-experts → MoE large language models
- Socratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent SkillsLLM agents and tool use → Software engineering coding agents +1
- A Comprehensive Anatomy of Human and DeepSeek-R1 LLM Mathematical ReasoningLLM reasoning → Mathematical reasoning
- Reversible Foundations: Training a 120B Sparse MoE through State-Preserving ScalingMixture-of-experts → MoE large language models
- M3Exam: Benchmarking Multimodal Memory for Realistic User-Agent InteractionsLLM agents and tool use → Agent memory systems
- Generative Modeling of Discrete Latent Structures via Dynamic Policy GradientsDeep reinforcement learning methods → RL with diffusion and flow models
- Simulation-Driven Imitation Learning for Biosignals-Free Shared-Autonomy Prosthetic GraspingOffline RL and imitation learning from data → Robot manipulation imitation learning
- RhinoVLA Technical ReportVision-language-action models → Generalist VLA models and benchmarks
- Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized TestsLLM agents and tool use → Software engineering coding agents
- Self-evolving LLM agents with in-distribution OptimizationLLM agents and tool use → Reinforcement learning for LLM agents +1
- Dash2Sim: Closed-Loop Driving Simulation from in-the-wild Dashcam VideosEnd-to-end autonomous driving → Generative simulation for driving
- Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory KineticsLLM safety and security → Jailbreaking
- AnchorWorld: Embodied Egocentric World Simulation with View-based Evolution CustomizationWorld models → Video-generation world models and simulators
- Certifiable Semantic Agreement Among LLM Agents: What the Admissibility Instrument DecidesLLM agents and tool use → Agent threats, guardrails and governance
- QBugLM: An Agentic Benchmarking Framework for LLM-based Quantum Software DebuggingLLM agents and tool use → Medical and scientific domain agents
- SV-Detect: AI-generated Text Detection with Steering VectorsMechanistic interpretability → Activation steering methods
- DuMate-DeepResearch: An Auditable Multi-Agent System with Recursive Search and Rubric-Grounded ReasoningLLM agents and tool use → Web, search, and research agents
- SWE-Explore: Benchmarking How Coding Agents Explore RepositoriesLLM agents and tool use → Software engineering coding agents
- Where Flow Matching Leaks: Characterising Membership Signals Along the Interpolation PathDiffusion models → Flow matching, time series and science
- Clairvoyant: Predictive Shortest-Job-First Admission for Serial LLM InferenceEfficient LLM inference and serving → Serving systems and request scheduling
- When Large Language Models Fail in Healthcare: Evaluating Sensitivity to Prompt VariationsLLM safety and security → Safety alignment, refusal and guardrails
- FLOWREADER: Min-Cost Flow Optimization for Multi-Modal Long Document Q&ARetrieval-augmented generation → Multimodal RAG
- Robotic Policy Adaptation via Weight-Space Meta-LearningVision-language-action models → Reinforcement learning and post-training
- Towards Tight Bounds for Streaming AttentionEfficient LLM inference and serving → KV cache optimization
- Shield-Loco: Shielding Locomotion Policies with Predictive Safety FilteringDeep reinforcement learning methods → Safe and constrained RL
- From Correctness to Utility: Gain-Based Prefix Evaluation for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- Seeing Without Exposing: Adaptive Privacy Control for Open-World, Context-Hungry MLLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Textual Supervision Enhances Geospatial Representations in Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- When Recovery Matters: The Blind Spot of Surrogate Privacy in MLLM EditingMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Test-Time Trajectory Optimization for Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Consistent-Inversion: Reverse Consistency Guidance for Structure-Preserving Visual EditingDiffusion models → Image generation, text-to-image and editing
- REMEDI: A Benchmark for Retention and Unlearning Evaluation in Multi-label Clinical Disease InferenceLLM safety and security → Machine unlearning
- MalSkillBench: A Runtime-Verified Benchmark of Malicious Agent SkillsLLM agents and tool use → Agent threats, guardrails and governance
- Learning Explicit Behavioral Models with Adaptive Questions and World-Model ProbesWorld models → World models for language agents
- The Three-Ring Architecture: Governing Agents in the Era of On-Platform OrganisationsLLM agents and tool use → Agent threats, guardrails and governance
- DyCon: Dynamic Reasoning Control via Evolving Difficulty ModelingLLM reasoning → Test-time compute and efficient thinking
- Coarse-to-Control: Action-Token Planning for Vision-Language-Action ModelsVision-language-action models → Reasoning and chain-of-thought in VLA
- LARA: Latent Action Representation Alignment for Vision-Language-Action ModelsVision-language-action models → Human-video and latent-action pretraining
All 436
- Dreaming when Necessary: Advancing World Action Models with Adaptive Multi-Modal ReasoningWorld models → Embodied and robot world models +1
- Predictive Style Matching: Natural and Robust Humanoid LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- On the Geometry of On-Policy DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- dots.tts Technical ReportDiffusion models → Audio, speech and music
- AsyncPatch Diffusion: spatially-flexible image generationDiffusion models → Diffusion foundations and sampling
- SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward GatingLLM agents and tool use → Web, search, and research agents
- mmPISA-bench: Do LLMs Reason Equally Well Across 43 Languages?LLM reasoning → Reasoning benchmarks and evaluation
- TRACE: Trajectory Reasoning through Adaptive Cross-Step Evidence Aggregation for LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- TrioPose: Native Triple-Stream Diffusion Transformers for Pose-Guided Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Beyond Rubrics: Exploration-Guided Evaluation Skills for Reward ModelingLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- STREAM: Stochastic Riemannian Flow Matching with Anisotropic Decoder for Digital Histopathology Image GenerationDiffusion models → Medical imaging and segmentation
- StainFlow: Entity-Stain Tracking and Evidence Linking for Process Rewards in GUI AgentsLLM agents and tool use → GUI and mobile agents +2
- MADE: Beyond Scoring via a Multilingual Agentic Diagnosing Engine for Fine-Grained Evaluation InsightsLLM agents and tool use → Medical and scientific domain agents
- The Sim-to-Real Gap of Foundation Model Agents: A Unified MDP PerspectiveLLM agents and tool use → General LLM agent frameworks and benchmarks
- Task Editing for Generalizable 3D Visuomotor Policy LearningLLM reasoning → Spatial and embodied reasoning
- A Geometric View for Understanding Concept Learning and Neuron Interpretation in Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- RASFT: Rollout-Adaptive Supervised Fine-Tuning for ReasoningLLM reasoning → Reinforcement learning for reasoning
- DataEvolver: Automatic Data Preparation for Large Language Models through Multi-Level Self-EvolvingSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
- Teaching the Way, Not the Answer: Privileged Tutoring Distillation for Multimodal Policy OptimizationLLM reasoning → Multimodal reasoning +1
- Exploring Agentic Tool-Calling Decisions via Uncertainty-Aligned Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Modeling U.S. Attitudes Toward China via an Event-Steered Multi-Agent SimulatorLLM agents and tool use → Social simulation and multi-agent debate
- GenPO++: Generative Policy Optimization with Jacobian-free Likelihood RatiosDeep reinforcement learning methods → RL with diffusion and flow models
- FinEvolveBench: A Benchmark for Self-Evolving Agents on Low-Repetition Tasks with Implicit RewardsLLM agents and tool use → Financial trading and forecasting agents
- Auditing Training Data in Domain-adapted LLMs: LoRA-MINTLLM safety and security → Membership inference attacks
- SS-TPT: Stability and Suitability-Guided Test-Time Prompt Tuning for Adversarially Robust Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Quantum-Inspired Trace-Augmented Evidence Selection for Reasoning over Structured Hypothesis SpacesLLM reasoning → Prompting and chain-of-thought reasoning
- When CLIP Sees More, It Fights Back Harder: Multi-View Guided Adaptive Counterattacks for Test-Time Adversarial RobustnessMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Personality Anchoring for Social Simulation: Linking Personality, Social Behavior, and Interaction Success with LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- From Sampled Outcomes to Capability Distributions: Rethinking Supervision for LLM RoutingLLM reasoning → Test-time compute and efficient thinking
- Declarative Skills for AI Agents in Knowledge-Grounded Tool-Use WorkflowsLLM agents and tool use → General LLM agent frameworks and benchmarks
- The Fine-Tuning Trap: Evaluating Negative Transfer and the Role of PEFT in Sub-1B Mathematical ReasoningLLM reasoning → Mathematical reasoning
- ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- ActionMap: Robot Policy Learning via Voxel Action HeatmapVision-language-action models → Efficient VLA inference and adaptation
- Workflow-to-Skill: Skill Creation via Routing-Workflow-Semantics-Attachments DecompositionLLM agents and tool use → Agent skill learning and evolution
- Stream3D-VLM: Online 3D Spatial Understanding with Incremental Geometry PriorsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Diagnosing Visual Ignorance in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ARAPDiffusion: ARAP Regularization for Diffusion-Based Deformable Shape Space LearningDiffusion models → 3D, point cloud and scene generation
- FreeAnimate: Training-Free Human Image Animation with Preview-Guided DenoisingDiffusion models → Video generation
- Towards Retrieving Interaction Spaces for Agentic SearchLLM agents and tool use → Web, search, and research agents
- Unified Safe In-context Image Generation in Multimodal Diffusion Transformers via Restricting Unsafe Information FlowsDiffusion models → Robustness, privacy and adversarial aspects
- EgoPressDiff: Multimodal Video Diffusion for Egocentric UV-Domain Hand-Pressure EstimationDiffusion models → Diffusion and flow policies for robotics
- Evidence-Based Intelligent Diagnostic and Therapeutic Visualization System with Large Language Models: Multi-Turn Interaction and Multimodal Treatment Plan GenerationLLM reasoning → Clinical and biomedical applications
- LRMIL: Efficient Low-Resolution Multiple Instance Learning via High-Resolution Knowledge Distillation for Whole Slide Image ClassificationKnowledge distillation → Distillation for medical imaging
- Interpreting Brain Responses to Language with Sparse Features from Language ModelsMechanistic interpretability → SAE features and their applications
- MotionEnhancer: Leveraging Video Diffusion for Motion-Enhanced Vision-Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- CRAFT: A Unified Counterfactual Reasoning Framework for Tabular Question Answering and Fact VerificationLLM reasoning → Knowledge- and tool-augmented reasoning
- Characterize Then Distill: Mechanistic Reasoning in Large Output SpacesLLM reasoning → Prompting and chain-of-thought reasoning
- LLM Agent-Assisted Reverse Engineering with Quantitative Readability MetricsLLM agents and tool use → Software engineering coding agents
- SEAM: Shortcut-Aware Real-Time Detection of Scripted vs. Spontaneous Speech for Interview GuardrailsLLM safety and security → Safety alignment, refusal and guardrails
- Think Like a Pilot: Fine-Grained Long-Horizon UAV NavigationLLM reasoning → Spatial and embodied reasoning
- Translate-R1: Cost-Aware Translation Tool Use via Reinforcement LearningLLM agents and tool use → General LLM agent frameworks and benchmarks
- STRIPS-WM: Learning Grounded Propositional STRIPS-style World Models from ImagesWorld models → Embodied and robot world models
- AdaGRPO: A Capability-Aware Adaptive Enhancement for Flow-based GRPOLLM reasoning → Reinforcement learning for reasoning
- Progress-SQL: Improving Reinforcement Learning for Text-to-SQL via Progressive RewardsDeep reinforcement learning methods → RL training of language and agent models
- PandaAI: A Practical Agent CQ2 for Neuro-symbolic Data Analysis And Integrated Decision-Making in Quantitative FinanceLLM agents and tool use → Financial trading and forecasting agents
- SCALE: Scalable Cross-Attention Learning with Extrapolation for Agentic Workflow SchedulingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Lane Change Trajectory Planning for Personalized Driving Comfort and Mobility EfficiencyEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Exploring Reinforcement Learning for Fluid Transitions Between Clinical Mental Healthcare and Everyday Wellness SupportDeep reinforcement learning methods → RL for clinical treatment and surgery
- Korean Culture into LLM Alignment: Toward Cultural CoherenceLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health CommunicationRetrieval-augmented generation → Medical and biomedical RAG
- AdMem: Advanced Memory for Task-solving AgentsLLM agents and tool use → Agent memory systems
- Trajectools Demo: Towards No-Code Solutions for Movement Data Analytics
- RENDER: Controlling Reader-Facing Evidence in LLM Memory Evaluation
- Automatic bioinformatic software named entity recognition from literature
- Nine Emotion Centroids: A Label-Free Valence Axis That Transfers Across Four Modalities
- A Metamorphic Artificial Age Score Decision-Support Prototype for Flight-Log-Based Drone Propeller Health Monitoring
- SuTRA : Structurally-Unified Tokenization with Root Awareness
- Position: Current Model Cards Are Insufficient for Downstream Governance of Open-Weight Foundation Models
- Position: Want Better ML Reviews? Stop Asking Nicely and Start Incentivizing with a Credit System
- Multimodal Drivers' Emotion Recognition and Safety-Oriented Intervention for Intelligent Transportation Systems
- Measuring and Improving Behavioral Consistency in Large Language Models through Fact-Heuristic-Emotion State Enforcement
- Temporal Context Reinstatement Drives Episodic-Like Order Memory in Long-Context Language Models
- Too much evidence, too little time: From text to actionable recommendations through multi-objective evidence reasoning
- AdaRoPE: Not All Attention Heads Should Rotate and Scale Equally
- The Hidden Water Geography of U.S. Hyperscale Data Centers in the AI Era
- The Rising Unsustainability of AI Graphics Cards Production
- MediEncoder: Nonlinear Representation Learning for High-Dimensional Causal Mediation Analysis
- Bridging Multi-Valued Heuristics and Dimensionality Reduction in Multi-Objective Search
- A physical adaptive material motor unit neural network: a hygromorph composite material machine
- Pixel-TTS: Image based Text Rendering for Robust Text-to-Speech
- Automated 3D Kinematic Monitoring for Circadian Activity and Anomaly Detection in Juvenile Fish
- MMLongEmbed: Benchmarking Multimodal Embedding Models in Long-Context Scenarios
- Position: Hippocampal Explicit Memory Is the Cornerstone for AGI
- The Whale That Outswam Evolution: Swarm Intelligence Maximises Memory in Connectome Reservoirs
- TRAPS: Treatment-Assignment Prediction via Pathway-informed Stratification
- Temporal Coverage over Density: Parsimonious Training-Set Design for ML Climate Downscaling
- Pander Score: A Continuous Measure of Sycophancy as Epistemic Deference
- Beyond the Thin-Layer Limit: Differentiable Volumetric Training for Visible-Range Diffractive Neural Networks
- Beyond Individual Personas: Aligning Synthetic Dialogue to Population-Level Behavior Distributions
- C3VD-DEFCOL: A Deformable Colonoscopy Dataset with Time-Resolved 3D Ground Truth and Realistic Appearance
- Partially Performative Prediction
- The Cross-Architecture Substrate: A Domain-Transcendent, Calibration-Surviving Geometric Invariant of Modern Vision Encoders
- Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency
- Whose Norms? Disentangling Cultural and Personal Alignment in Large Language Models
- Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators
- Overcoming the Regulatory Bottleneck via Agent-to-Agent Protocols: A Nuclear Case Study
- Instrumented data for causal scientific machine learning
- Model Multiplicity for Adversarial Detection in Small Language Model Training on Edge Devices
- Beyond English benchmarks: clinical llm evaluation in Brazilian Portuguese
- Large-scale empirical tuning and comparison of default optimizers for variational inference
- Does Persona Make LLMs K-pop Fans? A Pilot Study of LLM-Based Online Concert Audience Agents
- Agentic multi-fidelity learning of quasiparticle and excitonic properties
- Cherry-pick Override: LLM Judges Under-use the Non-Directional Verdicts Their Contract Authorizes
- Jas: AI-Paired Engineering as a Revival of N-Version Programming
- The ACUTE Protocol: Operationalizing Language Model Activations for Better Calibration, Utility, and Trust
- Joint Structural Pruning and Mixed-Precision Quantization for LLM Compression
- MinNav: Minimalist Navigation Using Optical Flow For Active Tiny Aerial Robots
- Scaling Participation in Modular AI Systems
- SLMJury: Can Small Language Models Judge as Well as Large Ones?
- Memetic Capture: A Pluralistic Policy Framework for Governing AI-Driven Cultural Disempowerment
- Reconstructing and forecasting disease trajectories of patients with Alzheimer's disease using routine data in resource-constrained settings
- MOLOT System Card: Malicious Operational Logic Observation Transformer
- Frequency-Scale Saliency for Spectral Descriptor Analysis in 3D Shape Retrieval
- A Framework for Evaluating and Benchmarking Concept Drift Detection Methods
- Non-Archimedean Polydisc Spaces and Applications to Optimisation
- Land cover and flood type govern the detection limits of satellite-based flood mapping across diverse global flood events
- Unlocking Latent Value: Taxonomy-Guided Recovery of High-Performing Data from Low-Tier Web Corpora
- DALE-CT: Depth-Aware 2D Slice Encoders Learn an Anatomical World Model of Chest CT
- Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model
- Contrast encodes inductive bias: separating slow noise from dynamics in predictive representation learning
- Quantum-Enhanced Similarity Measures for Polarimetric Materials Classification
- scCBGM: Interpretable Single-Cell Counterfactual Editing
- DroneDAR: Long-Range Drone Distance Estimation Using Monocular Vision and Bounding-Box Features
- ReadingMachine: A Computational Methodology for Structured Corpus Reading and Large-Scale Synthesis
- Characterizing the Discrete Geometry of ReLU Networks
- Benchmarking Quantum Algorithmic Resilience for CVaR Portfolio Optimization: The Expressibility-Coherence Trade-off
- Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity
- GNSS-FM: A Self-Supervised Foundation Model for Daily GNSS Displacement Time Series
- A Geometry-Aware Triplane Field Network for Vehicle Aerodynamic Prediction
- Some hypotheses on how chatbots work in problem-solution-driven conversations: Large Language Models as confirmation of the Innovation Illusion
- Automatic Extraction of Structured Information from Brain MRI Reports Using an Open-Weight Large Language Model
- Multi-planar 2D-U-Net Segmentation of 3D-CT Abdominal Organs augmented by Spatial Occurrence Maps
- SHIELD-IDS: Structurally Heterogeneous Ensemble with Integrated Layered Defense for Intrusion Detection Systems
- Beyond Accuracy: Interpreting Topic Representation in Suicide Ideation Detection Models
- Attention at the Theoretical Minimum: A Mathematics of Arrays Framework for Memory-Optimal Transformer Kernels
- Cross-View Urban Traffic Dataset: Drone-Supervised Ground Truth for Monocular Bird's-Eye View Localization
- Decoding Naturalistic Emotion Dynamics from the Brain: An LLM-Enhanced Regression Framework
- FunctionEvolve: Structure-Guided Symbolic Regression with LLMs
- How Much Dense Attention is Necessary? Oracle-Guided Sparse Prefill for Full/GQA Layers in Hybrid Long-Context Models
- EvoCSFL: Surrogate-Assisted Evolutionary Client Selection for Efficient and Robust Federated Learning
- EssentialGIN: a new approach for gene essentiality prediction based on graph isomorphism neural networks
- Pharmacogenomic Knowledge Graph Augmentation for Graph Neural Network-Based Drug-Drug Interaction Prediction
- TianJi-Environ: An Autonomous AI Scientist for Atmospheric Environmental Research
- DSFNet: Learning Dual-Domain Spectral Operators for Multi-Modality Spatio-Temporal Forecasting in Urban Transportation Systems
- Vessel Traffic Flow Prediction on Sparse Data via Spatio-Temporal Graph Neural Networks with a Learnable Tweedie Head
- Transfer learning for causal forest
- BCG-FM: A Foundation Model for Ambient Cardiac Health Sensing
- HARP: Efficient Data Selection for Finetuning Large Language Models
- Knowledge-Inclusive Adaptive Physics-Informed Neural Network for Microbial Interaction Modelling
- Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments
- Semantic Cache Distillation: Efficient State Transfer via Reuse and Selective Patching
- SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?
- UniSHARP: Universal Sharp Monocular View Synthesis
- Streaming Video Generation with Streaming Force Control
- Differences in Detection: Explainability Where it Matters
- Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings
- Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning
- Implicit Data Synthesis for Contrastive Unsupervised Data Augmentation
- Accelerated Decentralized Stochastic Gradient Descent for Strongly Convex Optimization
- Second-Order Path Kernel Interpolation Formulas in Machine Learning
- Bradley-Terry Rankings for Recommender Systems Across Dataset Taxonomies
- Twelve quick tips for designing AI-driven HPC workflows
- How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope
- CoMetaPNS: Continually Meta-learning Personalized Neural Surrogates for Cardiac Electrophysiology Simulations
- Network Recovery from Cascade Data: A Debiased Jacobian-Based Machine Learning Approach
- Drifting Models for Surrogate Flow Modeling
- Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification
- Graph Neural Network leveraging Higher-order Class Label Connectivity for Heterophilous Graphs
- Amortized Neural Optimization for Pre-Layout Signal Integrity Design Space Exploration using Differentiable Surrogates
- Time series Foundation Models based on Physics-Informed Synthetic Histories for Cold-Start Photovoltaic Forecasting
- PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams
- Sycophantic Praise: Evaluating Excessive Praise in Language Models
- Re-imagining ISO 26262 in the Age of Autonomous Vehicles: Enhancing Controllability through Transferability and Predictability
- The Lipreading Gap: Do VSR Models Perceive Visual Speech Like Human Lipreaders?
- OpenGlass: Ultra-Low-Power On-Device AI Eyewear with Event-based Vision
- Discovering Multiscale Deep Formulas in Complex Systems via Neural-Guided Lambda Calculus
- The Masked Advantage: Uncovering Local-Language Access to Cultural Knowledge in LLMs
- DisPOSE: Projected Polystochastic Diffusion for Self-Supervised Multi-View 3D Human Pose Estimation
- Video-Based Prediction of In-Flight Particle Characteristics in Atmospheric Plasma Spraying
- The Proxy Benders Decomposition
- RealDocBench: A Benchmark for Field-Level QA and Layout Understanding on Real-World Regulated Documents
- Are Good Generators Good Decision-Makers? Policy Learning for General Interventions via Retargeted Counterfactual Generation
- Mind the Gap: Disentangling Performance Bottlenecks in Video Instance Segmentation
- Online Pandora's Box for Contextual LLM Cascading
- Making the Most of Limited Data: Score-Aware Training for Text-to-Music Generation
- Unified Geometry-Guided ML-FTLE for Tracking Transient Chaos from Scalar Time Series
- Covariance Shrinkage via Stochastic Interpolation
- Impact of Synthetic Lesional MR Images in Automated Focal Cortical Dysplasia Detection in Low-Data Scenarios
- Beyond Backscatter: InSAR coherence from detected SAR images
- Mitosis Detection in the Wild: Multi-Tumor and Context-Aware Generalization in the MIDOG 2025 Challenge
- A robust PPG foundation model using multimodal physiological supervision
- Breaking the Ice: Analyzing Cold Start Latency in vLLM
- DirectAudioEdit: Inversion-Free Text-Guided Audio Editing via Diffusion Prediction Contrast
- Spatial-Temporal Decoupled Adapter for Micro-gesture Online Recognition
- SleepExplain: Explainable Non-Rapid Eye Movement and Rapid Eye Movement Sleep Stage Classification from EEG Signal
- TabSwift: An Efficient Tabular Foundation Model with Row-Wise Attention
- LLM-Guided Evolution for Medical Decision Pipelines
- VeriDrive: Verifiable Counterfactual Supervision for Cost-Efficient Vision-Language Planning
- How Far Can Chord-Symbol Time-Series Adaptation Carry Genre Identity? Capabilities and Boundaries in Multi-Genre Chord-Symbol Modeling
- Varifold Moment Invariants for Sustainable and Explainable Contour Feature Extraction
- A Temporal Spatial Minimax Rate for Smoothly-Varying Distributions in Wasserstein Space
- CultureScore: Evaluating Cultural Faithfulness in Video Generation Models
- Acoustic Cue Alignment in Audio Language Models for Speech Emotion Recognition
- Off-Policy Evaluation with Strategic Agents via Local Disclosure
- Bootstrap Theory of Representational Emergence (TBER): Explanatory Insufficiency, Transition Regimes, and the Emergence of New Representational Levels
- Phun-Bench: Evaluating LLMs on Phonological Understanding in Chinese
- TargetSEC: Plug-and-Play In-the-Wild Speech Emotion Conversion via Arousal-Conditioned Latent Style Diffusion
- Trio: Learning Time-Series Forecasting with Temporal-Spatial-Sample Attention and Structural Causal Priors
- Closed-Form Spectral Regularization for Multi-Task Model Merging
- ExMesh: Explicit Mesh Reconstruction with Topology Adaptation
- Geometric-Aware Hypergraph Reasoning for Novel Class Discovery in Point Cloud Segmentation
- The Capacity of Information-Theoretic Secure Aggregation in Federated Learning
- CaliPPer: quantifying, predicting and improving AI model performance for binding prediction
- On the conditional equivalence of phase retrieval algorithms
- A Held-Out Transition-Pair Falsifier for Long-Horizon Non-Abelian State Tracking
- TOPSIS-RAD: Ranking According to Desires
- Reconstructing Multi-Decadal Forest Disturbances: A Spatio-Temporal Transformer Approach
- Theory of learning of high-dimensional controlled non-linear dynamical systems (I): models and methods
- AI Sovereignty: A Qualitative Model of Strategic Competition as AI Becomes an Instrument of National Power
- Beyond Waypoints: A Trajectory-Centric Waypointing Paradigm for Vision-Language Navigation
- KIT's Submission to Cross-Lingual Voice Cloning in IWSLT 2026
- Generative Molecular Morphing for Flexible-Size Design via Unbalanced Optimal Transport
- Does Appearance Help? A Systematic Study of Image-Based Re-Identification in Online 3D Multi-Pedestrian Tracking
- MMAE: A Massive Multitask Audio Editing Benchmark
- DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios
- DualGate-Net: A Prior-Gated Dual-Encoder Framework for Histopathology Cell Detection
- Adversarial Creation and Detection of AI-Generated Social Bot Content
- HKVM-RAG: Key-Value-Separated Hypergraph Evidence Organization for Multi-Hop RAG
- Principal Component Analysis for Multivariate Extremes
- An Abstract Architecture for Explainable Autonomy in Hazardous Environments
- Entropy as a Structural Prior: How a Log-Barrier on DiT Belief Space Drives Musical Diversity and Development
- Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging
- AdaTok: Self-Budgeting Image Tokenization with Quality-Preserving Dynamic Tokens
- Geometry of Semantic Space: Comparative Study of Discrete and Continuous Models
- RETROSPECT: RETROsynthesis via Sequential Prediction, and Chemically Transformed-ranking
- OPTIMUS-Prime: Minimal and Sufficient Concept Explanations for Deep Vision Models
- EvoGS: Constructing Continuous-Layered Gaussian Splatting with Evolution Tree for Scalable 3D Streaming
- UrduMMLU: A Massive Multitask Benchmark for Urdu Language Understanding
- TraRA: Trajectory-level Recognition Aggregation for Video Text Spotting in Urban Surveillance
- No-Harm Physics-Informed Inverse Learning with Residual-Calibrated Uncertainty
- Geodesics of Dynamic Graphs for Regime Change Detection
- From Privacy to Workflow Integrity: Communication-Graph Metadata in Autonomous Agent Interoperability
- Decision-Aware Evaluation of Physics-Informed Surrogates
- Explaining Unsupervised Disease Staging in Huntington's Disease: Insights into Model Representations and Clusters
- α-PFN: Fast Entropy Search via In-Context Learning
- Explicit Evidence Grounding via Structured Inline Citation Generation
- A machine-learning-assisted progressive digit-randomness screening framework for detecting non-random patterns in raw numerical research data
- Information-Theoretic Bounds for Sparse Covariance Estimation in the Vertical-Split Distributed Model
- Learning Perspectivist Social Meaning via Demographic-Conditioned Fusion Embeddings
- Beyond Linear and Overcomplete Regimes: A Mean-Field Analysis of Bottleneck Autoencoders
- Native3D: End-to-End 3D Scene Generation via Unified Mesh-Texture Modeling and Semantic Alignment
- OffQ: Taming Structured Outliers in LLM Quantization by Offsetting
- 3DMorph: Single-Image-Guided Local 3D Shape Editing and Morphing
- DIFFRACT: Neuralized Utility Maximization for Wireless Networks by Differentiable Programming
- Beyond Post-hoc Explanation: Toward Glassbox AI via Probabilistic Mediation
- Style or Content? Evaluating Style Classifiers with Controlled Content Overlap
- GP-Adapter: Gaussian Process CLIP-Adapter for Few-Shot Out-of-Distribution Detection
- SigmaScale: LLM Compression with SVD-based Low-Rank Decomposition and Learned Scaling Matrices
- MetaConfigurator: AI-Assisted RDF Authoring from JSON Data
- The discovery of the effects of women employment participation on the fertility of developing countries: A panel data approach
- Detecting Temporally Localized Manipulations in Authentic Video Streams
- Residual-Controlled Multiplier Learning for Stochastic Constrained Decision-Making
- An Adaptive Data cleaning Framework for Noisy Label Detection
- Bias in Filter Feature Selection Evaluation: A Meta-Analysis of Datasets, Baselines, and Experimental Design Choices
- Modeling semantic association in self-paced reading with language model embeddings
- Beyond Universality: The GCC-FER Dataset and Culture-Aware Adaptation for Dynamic Facial Expression Recognition
- Constructing VAE Latent Spaces with Prescribed Topology
- Meaning in Order, Order in Meaning: Semantic R-precision for Keyphrase Evaluation
- Front-to-Attractors: Modifying the Front-to-Front Heuristic in Bidirectional Search
- Hierarchical Forecast Reconciliation for Urban Rail Transit Demand Prediction under Operational Disruptions
- ForensicConcept: Transferable Forensic Concepts for AIGI Detection
- Hierarchical Semantic-Constrained Heterogeneous Graph for Audio-Visual Event Localization
- Never Seen Before: Benchmarking Genuine Zero-Shot Composed Image Retrieval with Consistent Video-Sourced Datasets
- CF-JEPA: Mask-free forward prediction with asymmetric encoder utilization for time-series representation learning
- Phonetic Error Analysis of Raw Waveform Acoustic Models
- GuideCAD: A Lightweight Multimodal Framework for 3D CAD Model Generation via Prefix Embedding
- An Integrated Roadside Sensing and Communication Framework for Vulnerable Road User Safety at Signalized Intersections
- Towards Unified Song Generation and Singing Voice Conversion with Accompaniment Co-Generation
- Principles of Concept Representation in Sentence Encoders
- Don't Pause: Streaming Video-Language Synchrony for Online Video Understanding
- Accelerating Reproducible Research in Synthetic EHR Generation
- Heterogeneous Effects of Green Finance on Urban Decarbonization: Evidence from 285 Cities in China
- Contrastive Training with LLM-generated Near-Misses for Robust Code-Switching Speech Recognition
- Accelerating Multi-Objective Bayesian Optimisation via Predictive-Gradient Catalysts
- DaX: Learning General Pathology Representations Across Scales
- CL-CLIP: CLIP-Based Continual Learning Framework with Cost-Volume Category Decoupling for Object Detection
- Accounting for Context: Shaping Moral Credences for Value Alignment
- From Vision to Text: A Compact Multimodal Approach for Robust, Cross-Domain Presentation Attack Detection on ID Cards
- OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios
- MVSegNet: A Lightweight Boundary-Aware Network for Fetal Lateral Ventricle Segmentation and Atrial Width Estimation in Prenatal Ultrasound
- Deep Single-Index Fr'echet Regression
- When is 3D Worth It? A Resource-Performance Frontier for CNNs and Transformers in Lung CT
- Didact: A Cross-Domain Capability Discovery System for Defence
- Uniform Stability and Generalization Error of GD and SGD on Fixed-Point Parameters
- SVHighlights: Towards Extremely Long Sport Video Highlight Detection
- DRIFT: From Robustness Gaps to Invariance Manifolds for AI-Generated Image Detection
- polyDAG: Polynomial Acyclicity Constraints for Efficient Continuous Causal Discovery in Visual Semantic Graphs
- SpectCount: Spectrotemporal Counting via Synthetic Signals Improves Large Audio Language Models
- EASE-TTT: Evidence-Aligned Selective Test-Time Training for Long-Context Question Answering
- Beyond Skeletons: Learning Animation Directly from Driving Videos with Same2X Training Strategy
- TALAN: Task-Aligned Latent Adaptation Networks for Targeted Post-Training of Large Language Models
- LUCID: Learning Unified Control for Image Deflaring and Exposure Mastery in Nighttime Photography
- Lighting-Aware Representation Learning under Controllable Lighting Variation
- Blockchain Infrastructure for Intelligent Cyber--Physical--Social Systems:Post-Quantum Security, Interoperability, and Trustworthy Data Economies in the Era of Embodied AI
- GRASP: Geometry-aware Residual Alignment for Scalable Pretraining Data Attribution
- Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws
- GlucoFM-Bench: Benchmarking Time-Series Foundation Models for Blood Glucose Forecasting
- An Expanded Synthetic Conversation Dataset for Multi-Turn Smishing Detection
- A Cross-view Fusion Framework for Robust 6-DoF Grasp Pose Estimation
- Neuro-Symbolic Learning for Long-Horizon Task Planning Under Complex Logical Constraints
- Evidence-Grounded Ensemble Diagnosis of 802.11 Packet Captures: A Multi-Stage Pipeline with Deterministic Reliability Scoring
- Multi-FRuGaL: Multimodal Flexible Redundancy-aware Decomposed Gated Learning for Cancer Diagnosis and Prognosis
- Product units in gated recurrent units improve nuclear-mass prediction
- Are Large Language Models Suitable for Graph Computation? Progress and Prospects
- Modeling Nonlinear Feature Interactions with Product-Unit Residual Networks
- FS-DVS: A Frequency-Selective Dynamic Visual Sensing Paradigm for Enhancing Information Completeness
- Stability beyond Bounded Differences: Sharp Generalization Bounds under Finite Lp Moments
- The Geometry of Last-Layer Model Stealing
- CFRNet: Cycle-Consistent Fixed-Point Training for Real-Time Blind Face Restoration on Consumer Embedded NPUs
- Physics-Driven Semantic Scattering Structure Understanding of Aircraft Target in SAR Images
- The Dark Regulome: Disentangling Predictability from Regulation in Genomic Foundation Models
- Hearing the Unspoken: Language Model Priors for Acoustic Adversarial Attacks
- Learning Fair Demand Models
- Architecture Shapes Transfer Specificity in Implicit Neural Representations
- VideoSEG-O3: A Multi-turn Reinforcement Learning Framework for Reasoning Video Object Segmentation
- Terastal: Layer-Variant-based Scheduling for Real-Time Multi-DNN Workloads on Heterogeneous Accelerators
- AMD-FCG: An Enhanced Function Call Graph Dataset with Integrated Topological Features for Malware Detection and Classification
- The Effect of Training Task Diversity on In-Context Learning through the Lens of Low-Dimensional Subspaces
- Breaking the Lock-in: Diversifying Text-to-Image Generation via Representation Modulation
- Quantifying Media Representation Dynamics Across 25 Years of News Reporting on Policing-related Deaths
- Interpreting Learning Under Competing Models: Joint and Stepwise Approaches for Dynamic Cognitive Diagnosis
- Learning All-Terrain Locomotion for a Planetary Rover with Actively Articulated Suspension
- Explain Like I'm 5 or Whatever I Choose: Evaluating the Potential for Interactive Complexity in Language Model Responses
- Federated Foundation Models over Vehicular Networks
- Empirical Transfer Operators and Finite-Sample Change Detection for Noisy Expanding Interval Maps
- What Your Posts Reveal: A Benchmark and Agentic Framework for User-Level Privacy Leakage on Social Media