Papers
Wed 7 Oct 2026
669 papers
- Why LLM Agents Favor Their Group: Stakes, Observed Norms, and ReputationLLM agents and tool use → Social simulation and multi-agent debate
- Curating Always-Loaded Context for LLM Agents: A Capacitated Assortment Model with Censored FeedbackLLM agents and tool use → Agent memory systems
- How Narrative Wrapping Affects LLM Refusal: A Cross-Language Benchmark and DefenseLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Invariant-Measure Reasoners: Stable Representations for Latent ReasoningLLM reasoning → Test-time compute and efficient thinking
- Back in Style: A Sociolinguistic Approach to Authoring and Measuring Persona Fidelity in User SimulationLLM agents and tool use → Social simulation and multi-agent debate
- iAm.md: Robot Skill Self-Assessment through Agentic Introspection for Unknown Open-Vocabulary DomainsLLM agents and tool use → Multimodal and embodied agents
- Cross-Provider Review as a Runtime Contract for Coding Agents: A Controlled Pilot and Fault-Injection StudyLLM agents and tool use → Software engineering coding agents
- RH-Detect: A Unified Benchmark for Reward Hacking DetectionLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- StoreBench: A Live-Commerce Environment for Evaluating and Training Autonomous Operator AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- World-Model Policy Arbiter for Goal-Conditioned Reinforcement LearningWorld models → Latent dynamics models and model-based RL +1
- Speedbumps: Rejection Attacks on Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Power Side-Channel Membership Inference Attack on Embedded Machine LearningLLM safety and security → Membership inference attacks
- Less from More: Reinforcing Sparse Video Reasoning from Dense ReferencesLLM reasoning → Multimodal reasoning
- SPLIT-RL: Staged Perception-Language Reasoning Training with Claim-Level AdvantagesLLM reasoning → Multimodal reasoning
- Stochastic Teacher Intervention for Agentic On-Policy DistillationLLM reasoning → Reinforcement learning for reasoning +1
- Enabling Preference-driven Unlearning in Few-step Distilled Text-to-Image Diffusion ModelsDiffusion models → Diffusion foundations and sampling +2
- RFChipAgent: Multi-Agentic AI Flow for Analog/RF Chip DesignLLM agents and tool use → Agentic AI for wireless networks
- Cross-Embodiment Robot Foundation World Models with Latent ActionsWorld models → Embodied and robot world models
- Velocity Scaling in Flow MatchingDiffusion models → Flow matching, time series and science
- Skill-SLM: Agent Skill-driven Small Language Models for Reliable Robot OperationLLM agents and tool use → Agent skill learning and evolution
- NavGPT-3: Harnessing Context in a Hierarchical Navigation RuntimeLLM agents and tool use → Multimodal and embodied agents
- Plan-and-Patch: Diffusion Language Models for Agentic PlanningDiffusion models → Diffusion and flow policies for robotics +1
- VICO: Visual Environments Co-Evolving for Vision-Language Model ReasoningLLM reasoning → Multimodal reasoning +1
- MemoWM: How World Models Change What Agents Need to RememberWorld models → World models for language agents
- BRANCH: Bypassing Multi-Scanner AI GuardrailsLLM reasoning → Reasoning for agents, planning and code +1
- Nullify: Null-Space Activation Steering for Training-Free LLM UnlearningLLM safety and security → Machine unlearning
- Coverage-Aware Reasoning with Medical Tokens for Diagnosis PredictionLLM reasoning → Clinical and biomedical applications
- How Many Directions Must a Truncated Diffusion Sampler Retain? Matching Bounds Under Power-Law SpectraDiffusion models → Diffusion foundations and sampling
- Visible Reasoning Is Not a Universal Optimizer: Persona- and Thinking-Dependent Effects in Analytics Code GenerationLLM reasoning → Prompting and chain-of-thought reasoning
- Speaking the Navigator's Language: Trajectory-Grounded Instruction Translation for Frozen Aerial VLN AgentsLLM agents and tool use → Multimodal and embodied agents
- The Harness as the Only Mutable Surface: Compliance-Bounded Self-Evolution of LLM Agents in Credit Pipelines, with a Measured Admission GateLLM agents and tool use → Software engineering coding agents +1
- Agent4RE: A Self-Refining Multi-agent Framework for End-to-End Software Requirements Engineering and BenchmarkingLLM agents and tool use → Software engineering coding agents
- Safe at One Loop, Risky at Another: Aligning Safety Across Recurrent Depths in Looped Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Recurrent Self-Improvement: Dynamic Cross-Loop On-Policy Distillation for Looped Language ModelsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- TestJack: Should you trust the results in coding benchmarks? Agentic Coding Benchmarks Auditing via Evaluator EvolutionLLM agents and tool use → Software engineering coding agents
- When Routing Reveals Membership: Privacy Leakage from MoE Router TelemetryMixture-of-experts → Expert routing strategies +1
- Verification and Self-Improvement in Agentic AI: Foundations and LimitsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Code Understanding is a Bottleneck for Coding AgentsLLM agents and tool use → Software engineering coding agents
- From Investigation Failures to Reliable SOC Agents: Understanding and Improving LLM-Based Alert TriageLLM agents and tool use → Agent threats, guardrails and governance
- Beyond Type-checking: Towards Holistic Evaluation of Formal Specification GenerationLLM agents and tool use → Software engineering coding agents
- RoboPrompt: Intuitive Robot Policy Steering with Sparse Human InputDiffusion models → Diffusion and flow policies for robotics +1
- Long-WAM: Scaling the Context of World-Action ModelsWorld models → Embodied and robot world models
- Rephrase Before You Act: Characterizing and Mitigating Language Sensitivity in Vision-Language-Action ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- GRACE: Generation-aware latent compression for efficient video generationDiffusion models → Video generation
- Why Forget-Only Unlearning Needs MemorizationLLM safety and security → Machine unlearning
- RoboJEPA: Scaling Robotic Latent World ModelsWorld models → Embodied and robot world models
- Agentic RSR: Real-to-Sim-to-Real through Scene Reconstruction and Execution-Grounded Robot PoliciesLLM agents and tool use → Multimodal and embodied agents
- Before They Can Solve: Predicting Post-Training Coding-Agent Performance from Base ModelsLLM agents and tool use → Agent skill learning and evolution
- A Society of Researchers: Designing Institutions for Populations of Autonomous Research AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- MORCA: Offline-to-Online Reinforcement Learning for Adaptive Cache Reuse in Video Diffusion AccelerationDiffusion models → Video generation
- PHRBench: A Behavioral Evaluation of Post-Hallucination Reasoning in LLMsLLM reasoning → Hallucination detection and mitigation
- RFPO: Rectified Flow Policy Optimization for Embodied ControlDiffusion models → Diffusion and flow policies for robotics
- Detecting Adversarial Images through Response Profiles of Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Conditional Flow Matching for Generation of 3D Multi-variable Instantaneous Urban Microclimate FieldsDiffusion models → Flow matching, time series and science
- Training Parallel Speculative Draft Models by Directly Minimizing Expected Decoding RoundsEfficient LLM inference and serving → Speculative decoding
- SOTA: Stock Options Trading Agents Guided by Option-Implied Return DistributionsLLM agents and tool use → Financial trading and forecasting agents
- Reasoning-Token Spikes Under Prompted Untruthful Responding in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Self-correction Optimization for Interleaved Multimodal GenerationMultimodal LLMs / vision-language models → Image editing and quality assessment
- Explicit Geometric Chain-of-Thought for Vision-Language-Action in Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- RoboQuest: Generalist Physical Agents that Search, Inspect and TestLLM agents and tool use → Multimodal and embodied agents
- ResidualQuant: KV Cache Quantization for Looped Transformers with 2-Bit ResidualsEfficient LLM inference and serving → KV cache quantization
- TaoD2C-Bench: Benchmarking MLLMs for Industrial UI Code Generation Beyond Visual FidelityMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Koopman Observers for Diffusion Acceleration: Correcting Feature Forecasts with Shallow MeasurementsDiffusion models → Diffusion foundations and sampling
- Open-MMUnlearning: Unifying Methods and Evaluation for MLLM UnlearningMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- SLDR: Defending Against Malicious Fine-tuning via Selective Layers Recovery and Dynamic RoutingLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Real-Time Joint Audio-Video Generation by Parallel Adapter CompositionDiffusion models → Audio, speech and music
- HAN-Mamba: Hierarchical Selective State Space Networks for Multi-Scale Financial Volatility ForecastingState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- SemanticFold: Latent Sequence Compression SeparatesLanguage Modeling, Decodability, and ReasoningLLM reasoning → Test-time compute and efficient thinking
- DeltaRepresentation: Geometry Supervised Representation Learning of Phenotypes via Counterfactual Reasoning for Medical VLMsLLM reasoning → Clinical and biomedical applications +1
- PatchBench: Measuring Collateral Damage in Activation PatchingLLM safety and security → Jailbreaking
- Sparse Planning in Visual World Models via Cost GradientsWorld models → Latent predictive world models
- Video Prediction Policy 2: Predict Better, Act BetterWorld models → Embodied and robot world models +1
- Geometry-Supervised Visual Representation Learning for Multi-Phenotype Lesion Interpretation in Medical VLMsMultimodal LLMs / vision-language models → Medical vision-language models
- Why Software Engineering Is Indispensable in the Age of Coding AgentsLLM agents and tool use → Software engineering coding agents
- How to train your model organismLLM safety and security → Safety alignment, refusal and guardrails
- Universal Local Error and Realized Amplification for the First-Order EDM PredictorDiffusion models → Diffusion foundations and sampling
- Kinetic Langevin Meets Split Gibbs: Accelerated Posterior Sampling for Imaging Inverse Problems with Diffusion PriorsDiffusion models → Inverse problems and image restoration
- Agentic AI-Assisted Modeling for Production Scheduling: Assessment in Constraint ProgrammingLLM agents and tool use → General LLM agent frameworks and benchmarks
- VideoEvolve: Co-Evolving Memory and Retrieval for Long Video UnderstandingLLM agents and tool use → Agent memory systems
- Beyond Outcome Rewards: Constructing and Assigning Retrieval Credit for Search AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Do Vision-Language-Action Models Understand Instructions? A Mechanistic Interpretability Study on Language GroundingVision-language-action models → VLA architectures and generalization
- Does Document Structure Help Dense Retrieval? A Placebo-Controlled Ablation of Four Mechanisms Across Two CorporaRetrieval-augmented generation → Generation and context integration
- UniSkill: Learning Actor-Aligned Skill Proposals for an Evolving PolicyLLM agents and tool use → Agent skill learning and evolution
- HeiCo-FOCUS: A Clinically Grounded Dataset for Long-Context Video UnderstandingMultimodal LLMs / vision-language models → Medical vision-language models
- HarnessIR: Harnessing Multimodal Foundation Models for Universal Real-World Image RestorationLLM agents and tool use → Multimodal and embodied agents
- When Algorithmic Exploration Becomes Cheap: A Case Study of Agentic Research in EDALLM agents and tool use → Educational agents and math problem solving
- Know the Shape, Find the Fault: Topology-Conditioned Diagnosis of Multi-Agent LLM FailuresLLM agents and tool use → Software engineering coding agents
- RealtimeWAM: How Fast Can I Run My World Action Model?World models → Embodied and robot world models
- HGP:An on-device personalized agent memory via hybrid graph storageLLM agents and tool use → Agent memory systems
- From Pixel to Coding: Evaluating the Figure Reproduction Capabilities of MLLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Loud Failures, Quiet Failures: Fault Detection and Recovery in Tool-Using Language Model AgentsLLM agents and tool use → Tool learning and function calling
- The Long Road to the Same Answer: Cognitive Bias Under Escalating Reasoning Budgets in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Efficient Patch-Based Anomaly Detection Fused with Diffusion Driven Generative Modeling for Semiconductor Wafer Bin Map Open Set Anomaly DetectionDiffusion models → Flow matching, time series and science
- From Expected Harmfulness to Likelihood: A Probabilistic Reformulation of Jailbreaking LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Successive Training Stages and Large Language Model Persuasion: Effects of Misalignment, Supervised Fine-Tuning, and Preference OptimizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Diagnosing Diversity Collapse and Validating Mask-Conditioned Diffusion for Labeled Microtubule MicroscopyDiffusion models → Medical imaging and segmentation
- AgentTime: Can Agents Estimate and Control Their Own Runtime?LLM agents and tool use → General LLM agent frameworks and benchmarks
- Many Ways to Succeed: Diversity-Driven RL Fine-Tuning for VLA GeneralizationVision-language-action models → Reinforcement learning and post-training
- Purifying Backdoored Large Vision-Language Models by Removing Hijacked DirectionsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Juno: Taming Predictive Latents for Vision-Language-Action ModelsVision-language-action models → World model-based VLA
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- RollVerify: Bridging Efficiency and Accuracy in Long-Tail Rollout Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
- FedSSMCoOp: SSM Encoders for light-weight Federated Prompt Learning for Few-shot ClassificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
- Constrained-Action AI Remediation for SIEM/XDR via a NeMo-Guardrails ProxyLLM safety and security → Prompt injection and agent security
- Defensive Sufficiency in a Stackelberg Model of AI SecurityLLM safety and security → Prompt injection and agent security
- A Scoping Review and Experimental Study on Reinforcement Learning from Human Feedback for Human-Robot CollaborationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Think Before You Paint: Recursive Latent Reasoning for Diffusion ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
- LiveMACE: Process-Aware Evaluation of LLM Agent Capabilities in Evolving MarketsLLM agents and tool use → Financial trading and forecasting agents
- Training Advisors for LLM Agents from Task OutcomesLLM agents and tool use → Reinforcement learning for LLM agents
- Self-Evolve With a Reference:Anchored Training of Tool-Integrated AgentsLLM agents and tool use → Agent skill learning and evolution
- ORCA: Hunting Compositional Failures in Text-to-Image DiffusionDiffusion models → Image generation, text-to-image and editing
- SkillForge: Co-Evolving Skills and Agents via Dynamic Skill LifecyclesLLM agents and tool use → Agent skill learning and evolution
- Dual-QK: Sharp Queries and Flat Keys for Prunable 2-bit KV CachesEfficient LLM inference and serving → KV cache quantization
- Backdooring Acoustic Foundation Models for Physically Realizable TriggersLLM safety and security → Audio jailbreaks and speech backdoors
- BoT-GRPO: Efficient Process-Reward RL for Reasoning via Bag-of-Token AggregationLLM reasoning → Reinforcement learning for reasoning +1
- Judging in Latent Space: Efficient Generative Reward Modeling via Semantics-Preserving CompressionLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- UltraWorld: Learning Interactive Ultrasound World Models from Untracked Clinical Videos with Acoustic Sampling MapWorld models → Medical and surgical world models
- Relational Abstractions for Spatial Reasoning with Diffusion ModelsLLM reasoning → Spatial and embodied reasoning +1
- Decoupling Logic from Persona: Structural Immunity of Edge LLM Agents to Context PollutionLLM agents and tool use → Social simulation and multi-agent debate
- Beyond Policy Support: Interaction Constrained Offline Reinforcement Learning for Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Unrolled Flow Models for ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- EntroPrefill: Renyi-Guided Context Pruning with Conditional Stability Guarantees for Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
- Diffusion-Generated Image Watermarking: A Two-Axis Taxonomy and Three Protocol-Bounded Case StudiesLLM safety and security → Watermarking generated content and models
- Flow-of-Thought: A Framework for Visual ReasoningLLM reasoning → Spatial and embodied reasoning
- DeltaWAM: Distilling Action Tangent Fields into World Action ModelsWorld models → Embodied and robot world models
- Bridge Routing Heads: Where Multilingual Multi-hop Reasoning Lives in LLMsLLM reasoning → Reasoning benchmarks and evaluation
- MeshCarve: Artisan Mesh Generation with Flow Matching in Compact Latent SpacesDiffusion models → 3D, point cloud and scene generation
- YUBI-STAG: Contact and Semantic-Rich Alignment for VLAs via Automated Video-Language GroundingVision-language-action models → Human-video and latent-action pretraining
- EC-EarthFlow: Probabilistic emulation of daily transient global climate model simulations with flow matchingDiffusion models → Flow matching, time series and science
- Understanding and Mitigating Token-Pruning-Induced Vulnerabilities in VLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Latent Watermarks under Generative Editing: A Benchmark and Analysis of Detection SurvivalLLM safety and security → Watermarking generated content and models
- What Makes Synthetic Hard Negatives Work in Vision-Language Pretraining?Multimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Do Better Visual Representations Always Lead to Better End-to-End Autonomous Driving?End-to-end autonomous driving → End-to-end system architecture
- From Pareto to Preference: Personalized Test-Time Scaling via Amortized Agentic Policy DiscoveryLLM reasoning → Reasoning for agents, planning and code +1
- System Switch: When Should a Fast Decision Model Stop and Think?LLM reasoning → Reasoning for agents, planning and code
- Cost-Efficient Theorem Proving via Agent Orchestration in Program VerificationLLM agents and tool use → Software engineering coding agents
- InsClaimBench: Benchmarking Insurance Claim Adjudication Across the Decision ChainLLM reasoning → Reasoning for agents, planning and code
- Shared and structured inputs undermine collective random choice by reasoning AI agentsLLM agents and tool use → Social simulation and multi-agent debate
- Closed-Form Noise Calibration Against Membership Inference for Random-Allocation DP-SGDLLM safety and security → Membership inference attacks
- CircuitATLAS: Agentic reasoning over a systems neuroscience knowledge graph for target discovery in circuitopathiesLLM reasoning → Clinical and biomedical applications +1
- Coding-Agent Benchmarks Should Match Their Users' Task FlowsLLM agents and tool use → Software engineering coding agents
- How Do Agentic LLMs Decide to Call Tools? A Tool-Call Vector Shaped by SuppressionLLM agents and tool use → Tool learning and function calling
- Which Language Should a Skeleton Speak? Language Choices in Multilingual ReasoningLLM reasoning → Mathematical reasoning
- SafeEvo: Deciphering the Safety Alignment Mechanism and Evolution in Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Learning Situation-Conditioned Thinking Policies for Long-Term LLM AgentsLLM reasoning → Test-time compute and efficient thinking +1
- Collaborative Reasoning Distillation via Cross-Feedback and Coherent CurationLLM reasoning → Prompting and chain-of-thought reasoning
- Targeted Modality Dropout for Real-Robot Manipulation Robust to Intermittent Vision LossOffline RL and imitation learning from data → Robot manipulation imitation learning
- Visual Evidence Under Cross-Examination: Evaluating and Controlling Decision-Level Evidence Use in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Contact-Aware Imitation Learning Through Contact FactorizationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Not All Uncertainty Matters: Simulation-in-the-Loop Fast-Slow Reasoning for Decision-Critical Autonomous Driving SystemLLM reasoning → Chain-of-thought reasoning for driving +2
- It Is Not Seeing the Hazard: A Frozen Vision-Language Safety Score Measures Its Caption BankMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- STRIKE: Learning Visual State Transitions for Physical World ModelingWorld models → Video-generation world models and simulators
- Sparse Feature Policy Unlearning Mitigates State Hallucination in Vision-Language-Action ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +2
- The Attribution Blind Spot: Layerwise Trajectory Diagnostics for Source Reliance in Retrieval-Augmented Language ModelsRetrieval-augmented generation → Agentic RAG, agents and memory
- Goldsmith: Gold-Loss-Guided Definition Optimization with an Agentic Annotation HarnessLLM agents and tool use → Agent skill learning and evolution
- MIMESIS: Learning User Simulators as Training Environments for Interactive AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Secure-CUA: Controlling Untrusted Influence in Computer-Use AgentsLLM agents and tool use → Agent threats, guardrails and governance
- LLM-Enabled UAV Dispatch: A System-Level Survey and TaxonomyLLM reasoning → Reasoning for agents, planning and code
- TMT: Runtime Backdoor Detection for Vision-Language-Action Policies on Unseen TasksVision-language-action models → Safety and adversarial attacks
- GeoPrior-Mamba: Structured Process Priors with Mamba for Fine-Resolution XCO2 ReconstructionState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- TempoBridge: Language-Guided Tempo Control for Vision-Language-Action PoliciesVision-language-action models → Reasoning and chain-of-thought in VLA
- Iris-3B: Going Beyond the Latent with Pixel-Space Diffusion Training, Conversion and Fine-TuningDiffusion models → Inverse problems and image restoration
- Beyond Token Revision: Investigating Mask-and-Replace Diffusion for Zero-Shot Text-to-SpeechDiffusion models → Discrete and text diffusion
- Mixture of Layers: Dynamic Layer Routing for Visual ReasoningLLM reasoning → Multimodal reasoning
- Controllable Crowd Generation through World-Model PlanningWorld models → Embodied and robot world models
- Event-Aligned Visual Action Reasoning for World Action ModelsWorld models → Embodied and robot world models +1
- Democratizing MoE inference on commodity GPUs with CoMoEMixture-of-experts → Efficient MoE training and inference systems
- Efficient Reasoning with Flow Language ModelsLLM reasoning → Test-time compute and efficient thinking +1
- Finding the Right Balance: Relevance and Diversity in LLM RetrievalRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Noise, Denoise, Correct: MCMC Posterior Sampling with Diffusion Priors in Three StepsDiffusion models → Inverse problems and image restoration
- One Frame, Full Heartbeat: ECG-Free Cardiac Cine MRI Synthesis via Phase-Conditioned Flow MatchingDiffusion models → Medical imaging and segmentation
- From Plausible Hierarchies to Useful Taxonomies: Evaluating Agentic Harnesses on Customer FeedbackLLM agents and tool use → Web, search, and research agents
- Unified Multi-plane Autoregressive Diffusion for 3D Multi-contrast MRI SynthesisDiffusion models → Medical imaging and segmentation
- From Retrieval to Customer Context: Evaluating Frontier-Model Systems for Voice-of-Customer AnalysisLLM agents and tool use → Social simulation and multi-agent debate
- DUDA-Bench: Benchmarking LLM Agents on Multimodal Data-Driven Urban DiagnosisLLM agents and tool use → Multimodal and embodied agents
- Expert Coupling in MoE Pretraining: Reducing All-to-All Overhead with Correlated Placement and Token ShufflingMixture-of-experts → Efficient MoE training and inference systems
- Immiscible Diffusion Policy: Preserving Multimodal Robot Actions through Label-Free Noise AssignmentDiffusion models → Diffusion and flow policies for robotics
- From Chunks to Functional Evidence: Function-Aware Retrieval for EDA Documentation QARetrieval-augmented generation → RAG pipeline design and evaluation
- Multimodal LLMs Can Learn to Read Brain Signals: A Vision--Language Model for Unified Multi-Task EEG DecodingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Learning Unknown Constraints without Unsafe Data via Optimality and Counterfactual RegularizationOffline RL and imitation learning from data → Inverse reinforcement learning
- Relevance Is Not Sufficiency: What Actually Closes the Evidence Gap in Long-Term Memory QALLM agents and tool use → Agent memory systems
- Shared Low-rank Basis Factorization for Data-free Mixture-of-Experts CompressionMixture-of-experts → MoE large language models
- SearchWorld: Spatial Value-Grounded Imagination for UAV Object Search via World ModelsWorld models → World models for navigation
- Constrained Diffusion for Data-Scarce Orbital Monte Carlo in Constellation TaskingDiffusion models → Diffusion and flow policies for robotics
- Why VLMs Miss Small Objects, and When Zooming In Is SafeMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Denoising Blocks, Not Tokens: Efficient Compressed Continuous Diffusion with Branching Token RealizationDiffusion models → Discrete and text diffusion
- Predicted Futures Are Not Enough: Learning Executable Goals for Robot ManipulationWorld models → Embodied and robot world models
- Kuration SDK: Addressing the Virtual2Real Gap via Data CurationWorld models → Video-generation world models and simulators
- RT-Safe: Benchmarking Agent Safety in Real-Time Embodied EnvironmentLLM agents and tool use → Agent threats, guardrails and governance
- LeCuration: A Tiny World Model as a Data Curation Multi-ToolWorld models → Latent predictive world models
- Package Hallucination Attacks on Coding Agents through Prompt Injection in Rule FilesLLM agents and tool use → Agent threats, guardrails and governance +1
- Adaptive Visual Token Reduction for Accelerated Image UnderstandingMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Efficient Best-of-N policy evaluation for inference-time alignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- We Query, Therefore We Compute: On Oracle Computation beyond the Machine, with an Application to AgentsLLM agents and tool use → Software engineering coding agents
- Adversarial Images Hijack Web Agents from Visual Grounding to Browser ExecutionLLM agents and tool use → Multimodal and embodied agents +1
- The Winner's Curse in LLM Self-Improvement Loops: Selection Noise, Lock-in, and Acceptance RulesSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Prompts versus Rules: Auditing and Controlling Speech Naturalness Behaviors in Voice User Simulators
- Distillation for Incrimination and Distillation for Capabilities
- PCAsplat: Gaussian Splatting with Local PCA Regularization
- Reconstruction of Multiscale Plasma Dynamics Across Operating Regimes
- Low-rank tensor structure of precipitation and its application to satellite-reference merging
- F3NO: Frequency-Decomposed Finite-Time Flow-map Neural Operators with Cross-Scale Conditioning
- Region-Aware CLS Token Augmentation for Fine-Grained Image Retrieval
- Omni-Diffusion-Distill: Few-Step Distillation of Unified Multimodal Diffusion Large Language Models
- Multi-Bandwidth Distribution Matching Distillation: On the Equivalence of Distribution Matching Distillation and Drifting Models
- Fluid-Gen-Zero: Grounding Pretrained Video Generators in Physics without Training
- Probabilistic Sensing, Deterministic Authority: Admitting Model-Produced Observations into Sufficiency-Checked Governance Contracts
- Optimizing Large Language Models with Chained LMOs
- Budgeted Multi-Source Counterfactual Annotation for Off-Policy Evaluation
- Transferability of Learned States in Neural PDE Solvers
- When Citations Mislead? A Claim-Level Benchmark for Legal Hallucination Detection
- ASPIRE: Saddle-Point Discovery through Set Prediction and Physical Refinement
- Spectrally Targeted Muon
- LVSPM: Long Sequence View Synthesis and Pose Estimation Model
- GPU-Accelerated Computation of Persistent Homology for Topological Analysis of Image Data
- TRACE: A Governance Framework for Measuring Explainability Debt in Production AI Systems
- Learning How to Search for Plans with Exponentially Less Space
- SPD-MetaFormer is what you need for small-data brain decoding
- AI4Fire: Evaluating Large Language Models on Wildfire Tasks
- GHARP: Real-time Gaussian Head Animation from Large-scale Reconstruction Prior
- Higher-Order Morphology Priors for Quadruped Reinforcement Learning Under Actuator Degradation
- Rethinking the Tradeoff Between Temporal Encoding and Nonlinear Computation in Spiking Language Models
- Coefficient Calibration as Selection Pressure in Symbolic Regression
- Adaptive Multi-Discriminator WGAN Framework for Resource-Constrained Internet of Vehicles Using Reinforcement Learning and Game Theory
- The Missing Fourth Term for the Emulation Tensor Memory Equilibrium (TME) Model: The Residue Deconstruction Cost
- Language Models for Page-Level Layout Decisions in E-commerce Search
- Implementation Guidelines for Data Quality Metrics
- Large Language Models for Machine Translation Quality Annotation: Humans and Models Are Both Challenged
- When Listening Becomes Easier: Scrubbing Visual Cues for Shortcut-Free VLAs
- Reading the Room: Foundations, Design, and Challenges of Normative Competence in LLMs
- How Hackable Is Your Speech Quality Metric? A Corrected Protocol, a Benchmark, and What Patching Buys
- Gen-PINNs: Generative Adversarial Physics Informed Neural Networks for solving partial differential equations
- Barron Optimal Transport I: Generative Modeling
- Sparse Attention Is Matrix Approximation, Not Choosing from a Bag of Values
- Transformed Samplers with Variance Reduction
- Conversational Voice Aesthetic Model with Reinforcement Learning from Human Listeners
- Shape irregularity of Life-Like Network Automaton rules as an indicator of classification performance
- Disentangling Linguistic and Paralinguistic Information with Routed Sparse Autoencoders
- A mesh-based neural energy method for the simulation of heterogeneous composites
- Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning
- KDFP: A first-principles approach to knowledge distillation in large language models
- Similar Predictive Fit but Different Latent Dynamics: Characterizing Learned Dynamical Structure in Personalized Models of Brain Disorders
- Amortized Off-Policy Evaluation for LLMs
- Real Long-Term Memory for AI: A 50-Million-Token Window That Is Faster and Cheaper Than Recompute
- On the Clock: Towards Punctual and Productive Time-Budgeted AI Agents
- MotherTree: Meta-learning on synthetic data improves decision tree training
- Conformal Prediction under Partial Verification
- Grammar Concept Annotation at Scale: Deployed Fine-Tuned Small Language Models Outperform Prompted Frontier Models
- Diagnosing and Recovering from Observation-Space Shift at Long-Horizon Skill Seams
- Evaluating Rubric Generation with Interventional Transfer
- Controlled Acquisition and Abstention in Three-Channel Score Conflicts
- Symbolic Density Estimators for Unnormalized Distributions
- Whose Ground Truth? Embracing Ambiguity in Human-Centered AI
- How Many Repeated Pairwise Comparisons Are Needed for Ranking under Heterogeneity?
- Calibrating Ambiguity Set via Diagnostic Transport for Distributionally Robust Optimization
- NEMORA: Neural Equivariant Multipole Operators for Long-Range Atomistic Learning
- AI-Mediated Self: How HCI Defines and Relates to the Self
- Strategic Investment Decision Making for Value Creation in Energy Transition: A Reinforcement Learning Approach
- CPU-Auth: Device Fingerprinting for Authentication via DVFS Side-Channel
- What can linear attention learn from nonlinear teachers in-context?
- DOGS: Design-Space Sampling for Prompt-Driven Logo Generation
- MESSENGER: Memory-Enhanced Sequential Scene Flow Estimation via Autoregressive Next-Frame Forecasting
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- Performance at What Cost? A Sustainability-Aware Performance Index for Cell and Nucleus Instance Segmentation
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- TestGRAD: Evolving Test Suites via Failure Pattern Momentum for SWE-Agent Ensemble
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- ProtocolMatch: Protocol-Dependent Model Selection for Scientific Dynamics Forecasting
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- From Prompts to Trees: Effective LLM-Guided Tree Generation for Few-Shot Tabular Classification
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- CARES: A Controlled Synthetic Benchmark of Speaker Reactions to Sound
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- Argos: Adapt Rich Geometric Priors for Generalizable Online Scene-Change-Detection
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- Beyond Anonymous Captions: Grounding Character Identity in Video Captioning and Question Answering
- BagDINO: Multi-View Baggage Re-Identification with DINOv3
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- CAFE+FNO: Fourier Kernel Generation via Multiplicative Feature Composition
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- ExperienceIndex: Artifact-Grounded Memory
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- SkillSandbox: Skill Verification via Dynamic Scenario Synthesis
- Multi-Agent Coordination via Support-Preserving Distillation
- Activation-Aware Weight Tensorization: A Calibration-Time Preconditioner for Tensor-Network LLM Compression
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- Towards Calibrated Probabilistic Forecasts for Events of Interest via Outcome-Conditional Recalibration
- Efficient Provably Private Classification with a Tabular Foundation Model
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- TRACK: Telemetry-Based Racing Analysis and Coaching Kit in Sim Racing Games
- Cache the Encoder Within:Compact, Reusable Memory across LLM Queries
- WxFM-XL: Adapting Univariate Foundation Models to Multi-Station Weather Forecasting
- Transition Path Sampling Using Koopman Operators and Exit-Time Optimal Control
- AdSpark: A Large-Scale Dataset and Benchmark for Product-Centric Advertisement Video Generation
- Learning to Accumulate Knowledge with Mutual Information
- Evolve on the Host, Predict on the Edge: Deploying Online Neuroevolutionary Architecture Search for Cross-sectional Stock Return Prediction
- Matching of signal, noise and hardware timescales for filtering and forecasting of correlated noise signals
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- EASE: Entropy-Adaptive Distribution Shaping for Evading AI-generated Text Detectors
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- TERRA: Learning Transportable Latent Actions through Temporal Effect Representation and Relational Alignment
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- SpatialUQ: Post-Hoc Uncertainty Quantification from Spatial Consistency in Black-Box Vision Models
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- MORA: Modeling Observed Changes for Drift-Robust Time-Series Anomaly Detection
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- ARCS: Towards Precise Text-to-SQL via Structured Disambiguation
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- VIS-Ground: Video Interactive Storytelling with Contextual Grounding
- Dialect-Robust Speech Language Models with Synthetic Pseudo-Dialect Augmentation
- SAREO-FM: Decoupled Semantic Supervision for SAR-EO Foundation Models
- The Geometry of Anisotropic Dilation for Optimal Regularization
- MovieSTAGE: Scene, Transition, and Global Encoding for Movie-fMRI ADHD Classification
- emg2face: Expressive Facial Animation with High-Density Surface EMG
- Node-level Graph Neural Architecture Search Framework
- The AI Evaluation Ecosystem
- FaceKit: a Toolkit for Interpretable Facial Phenotyping, Synthetic Image Generation and Privacy Analysis in Rare Diseases
- Self-attention summary networks for subsurface velocity-model building from common-image gathers
- Twist Flow for Inverse Problems
- CATune: Structural Constraint-Aware Bayesian Optimization for DBMS Configuration Tuning
- EM-SNN: Efficiently Modulated Spiking Neural Network for Remote Sensing Image Dehazing
- Hardware-aware Calibrated Clustered Attention for Efficient Visual Geometric Transformers
- Evaluating Trajectory Features for Routing Final-Layer Attention
- The Symbol of the Surrogate: Measuring Numerical Provenance in Neural PDE Solvers
- PhyDiCT: Plug-and-Play CT Reconstruction from Sparse X-Rays via Differentiable Rendering and Strong Priors
- An Informational Curse of Horizon in Goal-Conditioned Policy Learning
- Beyond Nominal Equilibria: Risk-Averse Multi-Population Mean-Field Games
- Pooling Representation Autoencoders for Efficient Diffusion