Papers
Thu 6 Aug 2026
428 papers
- Why Do LLMs Fail at OCL Generation? A Graph Reasoning PerspectiveLLM reasoning → Reasoning benchmarks and evaluation
- DTOC: Dynamic Tool Output Compression for Adaptive Context Management in AI AgentsLLM agents and tool use → Agent memory systems
- Research Assistant: AstraZeneca's Agentic System for R&DLLM agents and tool use → Medical and scientific domain agents
- OpenPM: Auditable Point-in-Time Evaluation for LLM Portfolio-Management AgentsLLM agents and tool use → Financial trading and forecasting agents
- LIRA: Local Cross-Layer Information Routing for Vision-Language-Action DecodingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Scaling Inherently Interpretable Language ModelsDiffusion models → Discrete and text diffusion
- CyberLLM: A Multi-Agent LLM Framework for Autonomous Detection and Guarded Response in Automotive CybersecurityLLM agents and tool use → Agent threats, guardrails and governance
- MI-MIDI: Mechanistic Interpretability of Text-to-MIDI Generation Models via Probing, Lenses and SteeringMechanistic interpretability → Activation steering methods
- Shape Your Feed: An LLM-based Agentic System for Conversational RecommendationLLM agents and tool use → Agentic recommender systems
- Retrofitting Linear Attention into Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- Flowing Through States: Neural ODE Regularization for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- CrystalGRPO: Target-Aligned and Coverage-Preserving Reinforcement Learning for Flow-Based Crystal Structure PredictionDeep reinforcement learning methods → RL for energy, networks and operations
- Bootstrap-Conditioned Action Selection with Tabular Foundation ModelsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Cascade: Exploiting SLO-Aware latency budget for fair and high goodput LLM inference servingLLM agents and tool use → Software engineering coding agents +1
- TaskSense: Focusing on What Matters in World ModelsWorld models → Latent predictive world models
- Confidence Estimation for Financial Vision-Language Models in Chart and Document UnderstandingMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Lost in Interpolation: Why Predictive Feedback Fails in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- GRASP: Reinforcing Language Model Anonymizers with Group Relative Policy OptimizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Agentic AI: User Empowerment or Foreclosure?LLM agents and tool use → Social simulation and multi-agent debate
- Toward Reliable Context Compression for Long-Horizon Agents: An Empirical Study of Execution InstabilityEfficient LLM inference and serving → Efficient reasoning and agent inference
- Do AI Personas Grow? Analyzing and Benchmarking Personality Evolution in LLM Agents After Life EventsLLM agents and tool use → Social simulation and multi-agent debate
- StepJack: Benchmarking Computer-Use Agent Safety Against Multi-Step Indirect Prompt InjectionLLM agents and tool use → Agent threats, guardrails and governance +1
- WebGrader: Training LLMs for Web Development with Self-Evolving Programmatic GraderSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- CyberForge: Verified Vulnerability Injection at Repository Level for Cybersecurity Agent TrainingLLM agents and tool use → Agent threats, guardrails and governance
- Game-Theoretic Inverse Reinforcement Learning for Modeling Competitive Human Driving: A Cut-in Prediction StudyEnd-to-end autonomous driving → Imitation-learning end-to-end planners +2
- Fast and Accurate: An Adaptive VLA Inference Framework through Environment-aware Model SelectionVision-language-action models → Efficient VLA inference and adaptation
- Learning When to Trust via Selective Context Preference OptimizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- ω-0: A Latent Predictive World Action Model for Concurrent Humanoid Loco-ManipulationWorld models → Humanoid and legged locomotion world models
- DyPES-VLA: Learning Shared Dynamics Priors and Embodiment-Specific Control for Cross-Embodiment ManipulationVision-language-action models → Human-video and latent-action pretraining
- The Bitter Lesson of Tool CallingLLM agents and tool use → Tool learning and function calling
- AV-AIVAT: 74x Cheaper Agent Evaluation with Certified Anytime-Valid Stopping in Imperfect-Information GamesLLM agents and tool use → Reinforcement learning for LLM agents
- RP-OPSD: Reasoning-Pivot-Guided On-Policy Self-Distillation for Multilingual Reasoning TransferLLM reasoning → Prompting and chain-of-thought reasoning +1
- TRAJDEBUG: Tracing Error Lifecycle to Identify Critical Failures in Long-Horizon Agent TrajectoriesLLM agents and tool use → Software engineering coding agents
- GeniWorld: A Generalizable Interactive World Model for Robotic Manipulation via Visual ActionsWorld models → Embodied and robot world models +1
- Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- RRC: Unlocking Generative Reward Models in LLM Reinforcement Learning via Ranking-Based Reward ConstructionLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic OperationsRetrieval-augmented generation → Multimodal RAG +1
- HarnessOpt-Bench: Evaluating LLMs at Harness OptimizationLLM agents and tool use → Software engineering coding agents
- Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation VectorsMechanistic interpretability → SAE features and their applications
- On-Policy Self-Distillation without Any SupervisionLLM reasoning → Prompting and chain-of-thought reasoning +1
- NeSy-RAG: Neuro-Symbolic RAG for Explainable Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Stochastic Dynamics on Persistence Diagram Space via Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- The Illusion of Visual Tool-Use: A Causal Audit of Thinking with ImagesLLM reasoning → Multimodal reasoning +1
- MASS: Multiplayer World Models with Authoritative Shared StateWorld models → Video-generation world models and simulators
- A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI GovernanceLLM safety and security → Machine unlearning
- DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
- PRISM: Distribution-Gated Flow Matching for Controllable Unpaired Image TranslationDiffusion models → Flow matching, time series and science
- EmoWorld: A Decoupled Affective Field for Controllable Emotional Video GenerationDiffusion models → Audio, speech and music
- TS-RAG: Retrieval Augmented Generation for Time Series ForecastingRetrieval-augmented generation → Time series and agricultural RAG
- Robot Learning from Human Demonstrations: Handwritten Alphabet Trajectories and Human-Likeness EvaluationOffline RL and imitation learning from data → Robot learning from demonstration
- Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning EraLLM safety and security → Watermarking generated content and models
- VIDP: Variable Impedance Diffusion Policy for Compliant Robot Manipulation from Diverse DemonstrationsDiffusion models → Diffusion and flow policies for robotics
- EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement LearningWorld models → World models for language agents +1
- Comparative Approaches to Agent Retrieval over Large Skill LibrariesLLM agents and tool use → Web, search, and research agents
- SAGA: Score-Weighted Adaptive Generation Alignment for Low-Resource Nordic Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Routing Is Least Learnable Where It Is Most Valuable: Bounds on Representation Routing for Web AgentsLLM agents and tool use → Web, search, and research agents
- Prior-SG: Task and Prior Driven Region Segmentation for Scene Graphs in Arbitrarily-Structured EnvironmentsLLM reasoning → Spatial and embodied reasoning
- iARCS: Iterative Agentic RL for Controllable 3D Scene GenerationLLM agents and tool use → Multimodal and embodied agents
- Visual Grounding in Zero-Shot Vision-Language ControlMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Learning Globally Reusable Skills for Coding AgentsLLM agents and tool use → Agent skill learning and evolution
- PaDoc: Layout-Grounded Parallel Decoding for Document ParsingEfficient LLM inference and serving → Visual token pruning in multimodal models
- Hardware Keystores for AI Agent Signing Workflows: A Zero-Trust MCP Enforcement ArchitectureLLM agents and tool use → Agent threats, guardrails and governance
- Contextual Information Policy Optimization for Search AgentsLLM agents and tool use → Web, search, and research agents
- Sample-Adaptive Latent Rewards for Uncertainty-Guided Diffusion Post-TrainingDiffusion models → Diffusion and flow policies for robotics +1
- DCAS: Decoupling CLI Agent Scaffolding to Internalize Planning across ScaffoldsLLM agents and tool use → Software engineering coding agents
- ECHO: A Locally-Deployable Agentic Health Assistant with Temporal Memory, Safety Guardrails, and Speech AssessmentLLM agents and tool use → Medical and scientific domain agents
- Evaluating Investment Logic in Large Language Models: A Real-World Benchmark Towards Personalzied Financial AgentsLLM agents and tool use → Financial trading and forecasting agents
- Does Latent Context Help? A Controlled Evaluation of Inverse Reinforcement Learning in Arctic ShippingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +2
- Domain-Grounded Candidate Selection for Agentic Image Editing: A Shadow Removal CaseMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- The Next Screenshot Knows: Gated Hindsight Distillation for Mobile GUI AgentsLLM agents and tool use → GUI and mobile agents
- When History Lies: Evaluating and Improving Tool Use under Misleading Multi-Turn HistoriesLLM agents and tool use → Tool learning and function calling
- ASGE-RR: Agentic Service Graph Embedding with Revisable Reservations for Dynamic AI-Agent CallsLLM agents and tool use → Software engineering coding agents
- Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning InferenceDeep reinforcement learning methods → Deep RL algorithms and representations
- BioKD: Selective Physiology-to-Video Knowledge Distillation via Reliability Gate for Emotion RecognitionKnowledge distillation → Multimodal distillation
- From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World ModelsWorld models → World models for language agents +1
- Iterate or Widen? When Test-Time Refinement Helps LiDAR Scene Completion: A Controlled Study of Evidence Geometry, Training Coverage, and ComputeLLM reasoning → Spatial and embodied reasoning
- OneEmo: A Unified Multimodal Reasoning Model for Emotion Perception, Understanding, and InteractionLLM reasoning → Audio-language model reasoning +1
- Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion FeaturesWorld models → World models for autonomous driving +1
- TensorCast: The Missing Tensor Management Layer in Large Language Model InfrastructureEfficient LLM inference and serving → Serving systems and request scheduling
- Beyond Flat Policies: Hierarchical Post-Training for Embodied Agents in Robotic ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +3
- OPERA: Operator-residual feedback for reliable autonomous optical experiments with language-model agentsLLM agents and tool use → Multimodal and embodied agents
- Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous ControlDeep reinforcement learning methods → Deep RL algorithms and representations
- AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents +1
- Diff-VF: Training-free High-quality Long Video Generation via Diffusion ModelDiffusion models → Video generation
- SkillMemo: Expert-guided Skill Memory Framework for Compositional Embodied ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA +2
- M3Prune: Hierarchical Collaborative Pruning for Efficient Multi-Modal Multi-Agent Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- AgentExecutor: Partial Code Execution via Agentic Context GenerationLLM agents and tool use → Software engineering coding agents
- Certifying Collective Reasoning in Multi-Agent Systems via Koopman Spectral AnalysisLLM reasoning → Reasoning for agents, planning and code +1
- Training a Conditioned Video Game Agent on a VLM Annotated DatasetLLM agents and tool use → Reinforcement learning for LLM agents
- Stabilizer Design for Policy Iteration in Stochastic Linear Quadratic Control: A Spectrum-Assignment ApproachDeep reinforcement learning methods → RL for games and combinatorial optimization
- VLMs for Videogame Data AnnotationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- GAUGE: A Measurement-Grounded Benchmark for Physical Fidelity in Simulation Engines and Video World ModelsWorld models → Latent predictive world models
- Respect Your Zero-Shot Uncertainty: Conservative Calibration for Test-Time-Adapted Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- BALANCE: Hybrid Autoregressive-Speculative LLM Inference at the Network EdgeEfficient LLM inference and serving → Speculative decoding
- Causal Episodic Memory for Feedback-Driven Agent RepairLLM agents and tool use → Agent memory systems
- Robust-WAM: Bridging Generative Pretraining and Semantic Foresight in World-Action ModelsWorld models → Embodied and robot world models
- AppDeltaWorld: Transition-Grounded Delta Code World Model for Mobile GUI AgentsWorld models → World model security and GUI agents +1
- CodeGrep: An RL-Trained Retrieval Agent for LLM Coding AgentsLLM agents and tool use → Software engineering coding agents
- The Vulnerability With No CVE: Managing Persistent Gaps Between Mandate and Authority in AI Coding AgentsLLM agents and tool use → Agent threats, guardrails and governance
- MAVISEG: Manifold Propagation and Visual Prototypes for Zero-Shot Open-Vocabulary Segmentation in Diffusion TransformersDiffusion models → Medical imaging and segmentation
All 428
- Personalized Deep Research Query Refinement with Graph-Scaffolded Evidence GroundingLLM agents and tool use → Web, search, and research agents
- Seeing Is Not Deciding: Can Multimodal LLMs Act as Effective CEOs?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Runtime Observability for Heterogeneous Attention MemoryEfficient LLM inference and serving → KV cache optimization
- Mapping Similarity Spaces across Embedding Models with Synthetic Query ProbingRetrieval-augmented generation → Generation and context integration
- ViSR-KGC: Visual Subgraph Reasoning with Vision-Language Models for Multimodal Knowledge Graph CompletionLLM reasoning → Multimodal reasoning +1
- Enhancing Social Intelligence in LLMs with Hierarchical Reasoning and Utterance-Level Goal RewardingLLM reasoning → Reasoning for agents, planning and code
- Agent-Based Test Assertion Generation via Diverse Perspective AggregationLLM agents and tool use → Software engineering coding agents
- Energy-Guided Flow MatchingDiffusion models → Flow matching, time series and science
- When Self-Evolution Backfires: Pre-Commit Gating against Skill Contamination in LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- Vorch-Omni: Multi-Task Orchestration of Sight and SoundDiffusion models → Audio, speech and music
- On-Policy Delta Distillation for Multilingual Math ReasoningLLM reasoning → Prompting and chain-of-thought reasoning +1
- XEWorld: Can Action-Conditioned World Models Generalize to Unseen Robot Embodiments?World models → Embodied and robot world models
- KVAE: Family of Tokenizers for Multimodal Generative ModelsDiffusion models → Diffusion foundations and sampling
- When Agentic AI Meets Integrated Sensing and CommunicationLLM agents and tool use → Agentic AI for wireless networks
- A Two-Tier Perspective on Inference-Time Parallelism in Multi-Agent LLM SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- ChainClaw: A Layered Agent Framework for Reliable On-Chain ExecutionLLM agents and tool use → Agent threats, guardrails and governance
- Task-Conditional Flow Matching for Balanced Multilingual Text Embedding AdaptationDiffusion models → Discrete and text diffusion
- Activity Frames: Deterministic Screen-Activity Compilation for Agent Memory and ReplayLLM agents and tool use → Agent memory systems
- GROM: Gradient-Free Rapid One-Shot Machine UnlearningLLM safety and security → Machine unlearning
- Vorch-Director: Interactive World Story Model via Noise-Aware Error RectificationDiffusion models → Video generation
- Flow-Map Distillation on Relation Manifolds for Image RestorationKnowledge distillation → General knowledge distillation methods
- Beyond Relevance: Bayesian Evidence Acquisition for Agentic Whole-Slide Image ReasoningLLM agents and tool use → Medical and scientific domain agents
- In-Context VLA: Endowing Vision-Language-Action Models with Language via In-Context Post-Training and Agentic Tool UseVision-language-action models → Reasoning and chain-of-thought in VLA +1
- Subliminal Learning is Non-Semantic DistillationMechanistic interpretability → Activation steering methods
- CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder CircuitsMechanistic interpretability → Activation steering methods
- SpaceVLA: Spatially Grounded VLA for Robotic Manipulation with User-Authored Grasp and Place AnchorsVision-language-action models → 3D and spatial-aware VLA
- Unified Agent: Managing Interactions across DevicesLLM agents and tool use → GUI and mobile agents
- PhyLatent: Learning Dynamics-Relevant Representations for JEPA World ModelsWorld models → Latent predictive world models
- Hijacking Robots with a Piece of Paper: A Systematic Study of Physical Prompt Injection in VLM-Controlled RobotsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- One Ranking, Any Budget: Matryoshka Evidence-to-Context Frame Selection for Long-Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World ModelsWorld models → Embodied and robot world models
- StreamArena: Toward Continuous, Interactive, and Long-Horizon Agentic Streaming Video UnderstandingLLM agents and tool use → Multimodal and embodied agents
- DreamGuard: Efficient Runtime Guardrail for LLM Agents via Risk-Aware World ModelWorld models → World model security and GUI agents +2
- Answer First, Reason Later: When Commitment Order Costs Accuracy in Diffusion Language ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
- Consistency Has a Computable Blind Spot: A Commutation Theory of Label-Free Reliability for Vision-Language Figure ReadingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action AlignmentVision-language-action models → Human-video and latent-action pretraining
- F2Agent: Financial Fusion of Agentic Intelligence for Multimodal TradingLLM agents and tool use → Financial trading and forecasting agents
- Reasoning Errors Have a Region and a Direction in the Residual-Stream Trajectory of LLMsLLM reasoning → Test-time compute and efficient thinking
- Breaking Customized LLMs for Coding: Automated Red Teaming for Instruction Backdoor AttacksLLM safety and security → Backdoor and data poisoning attacks
- Refining Over Resampling: Test-Time Self-Correction for LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- ChronoVision: Temporal Reasoning via Latent State ReconstructionLLM reasoning → Multimodal reasoning +1
- SkillHEX: Improving Agent Skills via Hypothesis-Driven Autonomous Exploration and ExploitationLLM agents and tool use → Agent skill learning and evolution
- TruthLens: Object Hallucination Detection via Self-Evaluating Truthfulness Scores in LVLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- SkillZip: Contract-Preserving Graph Compression for Scalable Agent Skill LibrariesLLM agents and tool use → Agent skill learning and evolution
- LC-GRPO: Bridging Train-Inference Gap for Flow-Based GRPO with Langevin CorrectionLLM reasoning → Reinforcement learning for reasoning
- Uncertainty-Aware World Model for Aerial Image-Goal NavigationWorld models → World models for navigation
- Beyond Frame Selection: Rethinking Long-Video Understanding with MLLMsLLM reasoning → Multimodal reasoning +1
- StepReflect: Structured UI Transition Reflection for Mobile GUI AgentsLLM agents and tool use → GUI and mobile agents
- SkillTV-Bench: Benchmarking How Well Judges Perform on Skill-Augmented Agentic ExecutionLLM agents and tool use → Agent skill learning and evolution
- Align-RAG: Alignment Is All You Need for TSFM In-Context LearningRetrieval-augmented generation → Time series and agricultural RAG
- When Experience Becomes Instruction: Trajectory Poisoning in Self-Evolving Agent Skill SystemsLLM agents and tool use → Agent threats, guardrails and governance +1
- From Sports to Safety: Benchmarking Proactive Risk Inference in MLLMsLLM safety and security → Safety alignment, refusal and guardrails
- Hierarchical Flow Matching for 3D Point Cloud GenerationDiffusion models → 3D, point cloud and scene generation
- Hyper-ES: Effective Evolution Strategies for LLM Reasoning via Descent Direction MergingLLM reasoning → Test-time compute and efficient thinking
- OmniMech: All-in-one Multimodal Mechanical Benchmark for 3D ReconstructionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- HERA: Historical Evidence Routing Adapter for Physical Prediction in Latent World ModelsWorld models → Video-generation world models and simulators
- Reasoning from Traces: Divergence-Guided Agentic Repair of WebAssembly DiscrepanciesLLM reasoning → Reasoning for agents, planning and code +1
- EcoAgent-Bench: Evaluating Economic Decision-Making in Budget-Constrained LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- DynaPix: Can Vision-Language Models Identify the Exact Future?Multimodal LLMs / vision-language models → Video understanding with MLLMs
- APQF: Agentic Profiling-Guided Structured Pruning and Mixed-Precision Quantization with Adaptive Fine-TuningLLM agents and tool use → General LLM agent frameworks and benchmarks
- PromptShield Home: Ambient Multimodal Prompt Injection Defense for Smart-Home AgentsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- Learning Context-Free Grammars for Grammar-Constrained Decoding via Declarative Agentic Programming with GuaranteesLLM agents and tool use → General LLM agent frameworks and benchmarks
- VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and EditingLLM agents and tool use → Multimodal and embodied agents
- When Big Data Becomes a Curse: Spatial Heterogeneity and the Limits of Learning from Passive Acoustic Monitoring Data
- Vorch-Human: Unified Multi-Task Human-Centric Generation via Long-Horizon Continuation
- FusionMMT: A Unified Multimodal and Multitask Learning Framework for Nuclear Fusion
- Match One, Learn with Graph: One-to-Graph Query Collaboration with Backward Sharing for Object Detection
- Summarize, Judge, Refine: Decoupled Content Understanding and Policy Learning for Multimodal Content Moderation
- Reading Anxiety or Reading the Label? Comparing Fine-Tuned and Frontier Models for Anxiety Detection on Social Media
- Safety-Flag: A Unified Benchmark for the Reliability and Calibration of LLM Content Moderators
- Performance, Efficiency and Collapse -- Advantages and Challenges in Offline Post-training of Code LLMs
- R2VC: Modular Fact-Checking with Retrieval, Verification, and Confidence Calibration
- Transformer Accelerator (TFA): A Macro-Op INT8 Hardware Chip for Transformer Inference and Machine Translation
- ARGUS: Theory-of-Mind Guided Argument Generation with Strategy-Aware Planning and Knowledge Grounding
- Efficient Adaptation of LLMs for Hate Speech Detection in Low-Resource Languages: A Comparative Study on Roman Urdu
- A Reproducibility Study of Partial Residual Ablations in Pre-LN Transformers
- Why AI Detection Fails for Academic Integrity
- Symbolic Machine Learning for Vapor-Liquid Equilibrium Prediction in Cx-N2 Binary Mixtures
- FarSky: Task-Aware Latent-Space Coupling for Generative Intra-Hour Solar Forecasting
- Algorithmic statistics of retinal images
- MIDAS: Mutual Information Disentanglement with Uncertainty-Aware Fusion for Incomplete Multimodal Sentiment Analysis
- Exploiting chemical shift variability enables recovery of overlapping metabolites from 1H nuclear magnetic resonance spectra
- Hit Selection Using SSMD-Based Machine Learning Performance Metrics in High-Throughput Screening Assays
- Enhanced Real-Time 6-DOF Extended Reality Catheter Tracking for Evaluating Potential Improvement in Efficiency, Precision, and Depth Perception for Cardiac Interventions
- NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation
- Discovering Conceptual Metaphors Across Topics and Media Types
- SoRoMoX: Fast, Differentiable, and Parallelizable Soft Robot Models
- Characterizing the Quality Profile of AI-Generated C++ in Production
- Bypassing Krum: Selection-Aware Backdoor Attacks in Federated Learning
- Cryptanalytic Extraction of Isolated Bias-Free GLU Feed-Forward Blocks by Antipodal Separation
- The Sparsity Whisperer
- NxN E-valuation: Hypothesis Certification via a Conformal CRT Null
- Beyond Co-Movement: Locality by Exposures Enables a Joint Factor-Graph Framework for Portfolio Diversification
- Factorized Hypothesis Search for Evidence-to-Taxonomy Retrieval
- Do 3D Medical Foundation Models See Through MRI Artifacts? A Controlled Study of Representation Robustness
- SLED: Scalable Location Encoding via Distillation
- Automated item evaluation: Predicting item acceptance and rejection using LLM-generated critiques
- Pre-Inference Routing for Cost-Efficient Document Field Extraction
- Toward surface-based registration of a virtual preoperative cutting guide onto the mandible for reconstruction surgery
- Cascading Through the Hierarchy: Regularizer-Induced Feature Detection as Phase Transitions in Deep Linear Neural Networks
- Beyond "AI Language": The case for the idiolectal nature of LLM output
- SyncSBC: Decentralized Swarm Behavior Prediction for Synchronized Autonomous Control
- Improving Low-Resolution Face Recognition under Limited Data: How Synthetic Data Generation Can Close the Domain Gap
- From Behavior to Mechanism: Tracing Divergent Response Modes in Frontier Language Models
- Implicit Neural Speckle Denoising
- Vision-Language Model Confidence Is Not a Property of the Answer
- Which Decisions Low-Bit Quantization Breaks, and How to Predict Them
- Theoretical Foundations of Communication-Efficient, Robust, and Practical Distributed and Federated Optimization
- Wasserstein Mahalanobis Distances for Recovering Latent Geometry
- Newton-Schulz Retraction-Based Inference Enables Hidden Quantum Markov Models to Outperform Classical HMMs
- TradeVerse: A Longitudinal Benchmark of Political Negotiation in International Trade
- Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions
- Don't `Well, Actually' Me Unless You Know What You're Talking About: Weak Presupposition Verification Degrades General QA Performance
- Density-Functional Excited-State Gradients and Nonadiabatic Couplings on a Consumer GPU from a Contraction-DAG
- KNOWPLAN: Knowledge-Driven AI Agents for Smart Degree Pathway Planning
- Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks
- CertBind from Multimodal Connectivity to Certifiable Retrieval Decisions
- Target-Weighted Neyman Allocation: Experimental Design for Heterogeneous Treatment Effects under Population Shift
- Unmasking Removal-Budget Confounding: A Matched Operating-Point Evaluation Framework for Adaptive Data Cleaning
- Measuring the Cross-Lingual Comprehension Gap: How the language of the evidence shapes what language models understand
- Can MLLMs Decode the Creative Leap? Introducing C4 for Cross-Concept Understanding
- ConstructCIE: A Dataset for Extracting Causal Information from Construction Accident Narratives
- InsertFuse: A Unified Framework for Multi-Category Reference-Guided Image Insertion
- Beyond Attention: Signed Integrated Gradients Attribution in a BiomeGPT-Style Microbiome Transformer
- Safe and Robust Neural Policy Learning with Statistical Verification for Sim-to-Real Deployment in Robotics
- Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning
- Test-Time Adaptation with Online Personalized Energy-Based Cache for Fine-Grained Video Expression Recognition
- ED-CSP: Crystal Structure Prediction from Electron Diffraction
- FedTransKD-IDS: Robust Federated Transfer Learning with Knowledge Distillation for Intrusion Detection in IoT
- SNI-GNN: SmartNIC-Assisted Full-Graph GNN Training with In-Network Embedding Prediction
- Tracing the Heart: An Evidence-Linked Pipeline for Heart-Failure Feature Engineering
- Investigating Artificial Intelligence Digital Sovereignty in Mobile Shopping Apps: A Case Study of Nigeria
- An Optimal Agnostic PAC Algorithm
- The Low Frequency Trap: Video Language Models Fail at Simple Event Bookkeeping
- Resourced Authority A Mechanism-Design Model for Participatory Governance of Deployed AI Agents
- CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks
- Challenges in Evaluating Explanation Methods for Static and Evolving Data
- Scalable estimation of VARMA models
- Optimal Rates for Learning with Monotone Adversaries
- Tytan: Interactive Neurosymbolic Construction of Analytic Semantic Schemas from Relational Data
- Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents
- Does FLAIR super-resolution erase or hallucinate small white-matter lesions?
- UQ-Loc: Uncertainty-Aware LiDAR Scene Coordinate Regression
- QuanTiMedAI: Quantum-Enhanced Time-Series Model guided by Agentic AI for Cardiac Arrest Mortality Prediction
- FastKron: Efficient Quantization with Kronecker-Factored Hessians
- Learning Latent Memory States from Longitudinal Athlete Monitoring Data
- Surv-IPTB: An Attention-Based Model for Estimating Individual Probability of Treatment Benefit with Survival Data
- The Tamed Subgradient Unadjusted Langevin Algorithm beyond Convexity
- TLNM: Externally Validated Tooth Detection, Numbering and Segmentation from Smartphone Photographs Using Mask R-CNN
- Improving the Realism of Synthetic Clinical Benchmarks Under Utility Constraints
- OTLesMix: Wasserstein Barycenter and Optimal Transport Map for Synthetic Lesion Generation with Diverse Shapes and Locations
- Hypothesis Testing with Conditional Queries: Learnability and the Value of Interaction
- RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction
- MetaboLLM: a metabolomics-specialized large language model for biochemical knowledge integration and predictive metabolite graph construction
- Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model
- Minimax Optimal Early-Stopped Gradient Descent for Gaussian Mixture Classification
- Timestep-Conditioned Transformers for Global Weather Forecasting
- Depth-Guided Video Object Counting in Crowded Scenes
- From Passive Mirrors to Active Agents: Holonic Digital Twins for Physical AI over Networks
- Muon on the Stiefel Manifold Admits an Exact Closed-Form Update
- Continual Learning in Transition
- Beyond Marginal Validity: Finite-Sample Guarantees for Localized Conformal Prediction
- CFGPNet: Cross-Attention-Based Fused Gradient Programmed Network Framework for Multispectral Object Detection
- What Current AI Benchmarks Leave Unmeasured: Modality, Search, Citations, and Implications (for Safety Evaluations)
- Handling Missing Data in Probabilistic Regression Trees
- HOPE: Hand-Object Pressure Estimation from Monocular Videos
- EvReflection: Event-Driven Micro-Dynamics for Reflection Removal
- MicroEvo: Knowledge-Guided LLM Sampling for Efficient Microarchitecture Design Space Exploration
- On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities
- Threshold-Based Early Stopping of Accumulations in Neural Networks with Binary Activation
- Support Operation Factorization: Compositional Readout of Frozen Vision Encoders under Controlled Interventions
- Schema-Guided Hierarchical Information Extraction and Semantic Evaluation Using Generative AI
- Audio-to-Score Transcription using Pre-trained Features, Data Augmentation, and the New SheetSage-A2S Dataset
- BendTwin: Robust Dense-to-Sparse Physical Reconstruction with Bending-Aware Differentiable Spring-Mass Models
- Verifiable Regularity Criterion for Conditional Expectation Operators and Conditional Mean Embeddings with Applications to Nonparametric Regression, Bayesian Inverse Problems, and Koopman Operators
- Reducing belief in conspiracy theories as they unfold using large language models
- CogVis: Must Open-Vocabulary Change Detection Perceive the Scene Anew for Every Query?
- FinEvo-Bench: A Longitudinal Benchmark for Self-Evolving Agents in Professional Financial Workflows
- Learning visual representations for compositional analysis of artworks and photographs
- Decolonizing Linguistic Policies in Automated Speech Recognition: A Framework for Cross-Culturally Competent Speech AI
- SkillTFM: Gated Skill Evolution for Training-Free Adaptation of Tabular Foundation Models
- LLM Inference Under Bursty Workload Distribution: Modifying the WAIT Algorithm
- Patient Pose Assessment Using a CT-Based Framework for Synthetic Data Generation
- Poli-Bias: Understanding and Measuring Large Language Model Biases in International Political Conflicts
- Is Self-Pretraining really useful to improve diagnosis in medical Time Series?
- Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction
- Mind the Gaps: Mixture-of-Minds for Human Simulation
- From Siloed Algorithms to Compliance-First Agentic Platforms: A Multi-Layered Architecture for Hospital AI Systems
- Beyond Sequence Order: Syntax-Informed Positional Embeddings for Transformers
- Kastor: An efficient fine-tuning strategy for generative emulation of PDE simulations
- Signal or Spurious Cue? A Randomized Audit of Survey-Country Metadata in LLM Social Inference
- Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting
- Training-Free Token-Level Steering for LLM Personalized Co-Writing
- Bar-JEPA: Extracting Values from Bar Chart with Joint-Embedding Predictive Architecture
- Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval
- DARAD: Dual Adapters and Ranking-Aware Distillation for Continual Remote Sensing Image-Text Retrieval
- ML-for-ML
- LangChoiceBench: Measuring and Explaining Programming-Language Choice in LLMs
- Integrating Implicit and Explicit Relational Biases through Graph-Based Multiple Instance Learning: A Case Study in Skin Lesion Diagnosis
- Dynamic Graph Prompting via Topology-Routed Mixed-Curvature Experts
- PaCoNet: Deep Data Extraction for Parallel Coordinates
- FormBharo: Designing and Evaluating a Voice Agent for Conversational Form Filling in Rural India
- EpiBench: Can LLMs Understand Epitopes for Antibody Drug Discovery?
- ProDVI: Programmatic Dynamics Priors for Value Network Initialization
- HERALD: Counterfactual Audits and Minimal Repairs for Proof-of-Retrieval Rewards
- Wan-Animate-2: Pushing the Application Boundaries of Character Animation
- Do Tabular Foundation Models Agree with Themselves?
- Hybrid Machine Learning Framework for Herd-Level Cattle Growth Pattern and Weight Gain Forecasting in Grazing-Based Production Systems
- A Ground-Truth Framework for Uncertainty Disentanglement with Posterior Risk
- Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies
- Universal Concept Disruption for SAM3 Image Segmentation
- THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction
- Temporal Bridges for Spatial Resolution: Enhancing Climate Data Super-Resolution with Bidirectional Alignment
- How Far Do Simple Transformations Translate Across Text Embedding Models?
- Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modality
- TRACE: Learned Proprioceptive Odometry for Legged Robots under Unreliable Contact Conditions
- Topology-Aware Neighborhood Learning for Source-Free Cross-Scene Hyperspectral Image Classification
- Big, Bright, or Invisible: A Frozen-Feature Benchmark of 3D CT Foundation Models
- Stability of Ranking-dependent Pair-wise Comparison Patterns in the Analytic Hierarchy Process
- Operating Multi-Node Full Fine-Tuning on NVIDIA B300: A Field Report on Telemetry-Based Triage, Negative Results, and Operational Hardening
- MirrorNet: Can Medical Image Anonymization Really Protect Patient Identity?
- Deep Generalised Mixed Models: a Novel Neural Network Structure for Analysing Hierarchical Data
- BioM-JEPA: joint-embedding prediction of graph-connected gene blocks in single cells
- Floating Radiance Networks
- Mapping Armenian Paris: Extracting and Geocoding Commercial Advertisements from the 20th-Century Diaspora Press
- CourseGraph: Finding overlaps and differences in Computer Science courses across universities
- CohortHijack: Robustness of Single Cell Annotation to Companion Cell Removal
- GSBF: Gaussian Splatting for Environment-Aware Beamforming
- ECG-LENS: Lead-Aware Clinical Context Enriched ECG Report Generation and Evaluation
- Alternating Levenberg-Marquardt Training of Physics-Informed Neural Networks with Fourier-Enhanced Features
- The em-dash em-beds in Congress: A population-level rise in em-dash frequency in U.S. congressional press releases at the dawn of the large-language-model era, 2021-2025
- Beyond Feature Importance: A Comparative Analysis of Pattern Detection Methods in Cluster Interpretation
- To See a World in a Living Context: Unified Indoor-Outdoor Urban World Generation
- D-CLOT: Double Closed Loop Optimal Transport for Unsupervised Action Segmentation
- MACRO: Markov Chain Routing of Transformer Layers
- Improving Interoperability among Defence and National Security Ontologies: Analysis and Evaluation Tasks
- Evidential Rule Learning for Interpretable Classification with Abstention
- Shape-Aware Oriented Bounding Box (OBB) to Horizontal Bounding Box (HBB) Conversion
- MameLoshnLM: Yiddish Language Model and Evaluation Benchmark
- DTRNet: Dual Text-Radical Decoding for Handwritten Chinese Text Recognition with Faked Character Detection
- Curia-MAE: Multi-Modal Multi-Anatomy MAE Pre-Training for 3D Medical Image Segmentation
- Overcoming Attention Drift: Homogeneity-Heterogeneity Guided Feature Aggregation for Low-Light Remote Sensing Image Enhancement
- Accurate Localization of Road Traffic Objects on the Road Plane Using Surveillance Camera Imagery
- A neural operator view on U-Nets for inverse imaging problems
- Controllable Clothing: Precise Labels and Generation for Virtual Try-On with Latent Diffusion Models
- MoCA: Implicit Social Context Analysis
- Decomposed Entailment for Factuality Checking and Hallucination Detection
- Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation
- M3R-Bench: A Unified Benchmark for Evidence-Grounded Multimodal Metaphor Understanding
- Bayesian adaptively-weighted ensembles for few-shot abdominal segmentation
- Cautious Context Steering for Language Model Personalization
- STAIL: Semantic Text-Anchored Incremental Learning for Medical Imaging via Large Language Models
- Hierarchical Latent Prediction for Language Models
- Ordered Diffusion for 3D Human Registration
- Predicting Task Difficulty Without Rollouts
- Fuzzy network jump models for soft dynamic clustering of graph-structured data
- VSMP-IMU: Video-Grounded Semantic Motion Programs for Sensor-Aware Synthetic IMU Generation
- Evidence-Driven Dynamic Visual Selector for Efficient Long Video Understanding
- When Do Prompt-Side Agent Playbooks Transfer? Accuracy, Cost, and Runtime Shift in Agent Deployment
- SR-JEPA: Learning Predictive Latent State in 3D Scenes
- Neuro-Symbolic Closed-Loop Control of Laser Powder Bed Fusion with an In-Loop Ontology
- HyTBE: Hyperbolic Target-Background Expert Model for Cross-Domain Infrared Small Target Detection
- Accelerating nanodrug development in continuous flow systems using informed prediction models based on low-cost surrogate nanoparticles
- How to Recognize New Words: A Comparison Between Context Biasing Methods and Speech LLMs
- GST-Bench: Can VLMs Develop Global Spatial Awareness from Video?
- UniVVT: A Unified End-to-End Framework for High-Fidelity Video Virtual Try-on
- Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines
- ConceptADapt: Concept-guided Adaptive Feature Reconstruction with Dynamic Attention for Few-Shot Industrial Anomaly Detection
- Multivariate Time Series Forecasting needs Cross Variable Loss
- Once a Response, Always a Response: Detecting LLM-generated Text via Latent Prompt Restoration
- LiteKD-Net: Lightweight Knowledge-Distilled Network for Mobile Image Denoising
- ABC: Numerical Data Collection under Local Differential Privacy without Prior Knowledge
- Engram-E2VID: Reference-Based Event-to-Video Reconstruction via Generative Activation of Appearance Engrams
- LILAC: An Idempotent Neural Speech Codec
- Mitigating Scoring Bias in LLM-as-a-Judge via Random Number Generation
- Sparse PPMI Graph Averaging for Random Indexing Embeddings
- Iterative Hybrid Discrete-Continuous Viewpoint Planning for UAV Photogrammetry
- BlockPython: A Process-Aware Agent-Supported Platform for the Transition from Block-Based to Python Programming
- RA-CAD: Learning Post-Execution Critique for State-Aware Text-to-CAD Generation
- Shaping Human-AI Interactions to Provide Improvement Pathways and Balance Competing Objectives
- Spectral Aliasing Pretext: A novel task for Self-Supervised fault diagnosis in rotating machinery
- G2ARD-GS: Geometry-Guided Anchor-Regularized Gaussian Splatting Distillation
- SEAM: Global consistency beyond local accuracy in scientific machine learning
- TAU-Bench: From Anomaly Instance Tracking to Fine-Grained Video Anomaly Understanding
- A Low-Power Wearable Respiratory Sensor for Non-Invasive Stress Monitoring
- SciQNet: Two-Stage Multimodal Adaptation for Scientific Image Quality Assessment
- Provably Efficient Self-Calibrating Quantum Fault Tolerance
- Grounded Well-Condition Anomaly Detection on the Volve Field: Constructed Labels, a Baseline, and a Dual-Head Model
- Nonvisual Classification of Ground-Condition by Artificial Proprioception in an Amoeba-Inspired Autonomous Walking Robot
- DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation
- A Unified Framework for Trajectory Prediction with Explicit Planning and Reaction Decomposition
- URNet: A Unified Reparameterized Network for Efficient RGB-D Semantic Segmentation
- When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering
- SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation
- Potential Matching Optimal Transport: Continuous Normalizing Flows for Exact p-Wasserstein Dynamics
- Dual-Attention and Adversarial Transfer Networks for Sim-to-Real Cross-Orientation Wireless Sensing
- Vorch-Streamer: Extending Human Audio-Visual Generation to Real-Time Long-Form Streaming
- Studying People to Study AI: Expert Perspectives on the Epistemic Fit and Barriers of Human Research in AI Safety & Ethics
- Relay, Don't Route: Adaptive Population Handoff for Cost-Efficient LLM-Driven Evolution
- Vorch-IR: Long-Form Unified Multimodal Identity Replacement Video Generation
- RASP-QAOA: Resource-Aware Per-Instance Selection for Exact QAOA Simulation
- Bayesian Expected Uncertainty Reduction (B-EUR) Model: A Computational Account of What Makes Design Options Worth Trying
- Human-Like Anaphor Resolution in Large Language Models
- SCI-CLIP: Segment-Centric Inference with Reference Memory for Training-Free Open-Vocabulary Segmentation
- Dual-Output Multi-Exposure HDR Reconstruction via SDR Fusion and Gain Map Inverse Tone Mapping
- Measuring and Detecting Harmful AI Sycophancy
- ALTER: Modeling Longitudinal Changes via Regional Differencing for 3D CT Report Generation
- FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities
- LC-Implicit-QAOA: Active-Workspace-Capped Exact Objective-and-Gradient Evaluation for Training over Bounded QUBO Light Cones
- GAUGE: Granularity-Adaptive Counterfactual Gating of Evidence for Incomplete Multimodal Classification
- Structured Dimension-Matched Joint Variational Transdimensional Inference
- Enhancing Anomaly Resilience in Research Networks: A Large-Scale Forecasting Benchmark for Dynamic Security Baselining
- Epistemic Trustworthiness in Generative AI: A Normative Framework for Warranted Reliance in High-Stakes Workflows
- How Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits
- Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations
- The Judgment-Consequence Gap: LLM Moral Reasoning in Healthcare Decisions
- Where Models Converge and Humans Diverge: A Coverage Framework for Distributional Pluralism in Open-Ended Generation
- A Multi-Layer System for Ultra-High-Resolution Static 360-Degree Telepresence
- CoordRefer: Coordinate-Aware 3D Visual Grounding from Multiview Images
- EffectLearner: World-Aware Object-Effect Reasoning for Real-World Video Object Removal
- Turing's First Imitation Game: Design Concepts and a Human-Approximates-Machine Reading
- Behavioral Residualization for Unsupervised Intrusion Detection in Automotive CAN Networks
- Vibe Compiler: A Research-Logic Synthesis Tool That Runs without Prompt Engineering -Toward Enhancing Metacognition for Sustaining Agency in the Age of Generative AI-
- Equation-Free Period-Aware Forecast-Error Contraction for Estimating Negative Largest Lyapunov Exponents from Short Trajectory Ensembles
- Different Perturbations, Different Mechanisms: Understanding Continued Pre-training for Zero-Shot Dialect Robustness
- An Inertial Block Proximal Linearized Method with Adaptive Momentum for Nonconvex and Nonsmooth Optimization
- Innovation-Residual Auditing of Autonomous Analysis Agents: Localization, Detection Limits, Error Control, and Identifiability
- CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer