Papers
Thu 30 Jul 2026
522 papers
- GroupKV: Hierarchical KV Cache Management for Long-Context Diffusion LLM InferenceEfficient LLM inference and serving → Diffusion LLM and MoE inference
- MA-RAG: Multi-Agent Retrieval-Augmented Generation for Query-Driven Summarization of Longitudinal Parkinson's Disease AssessmentsRetrieval-augmented generation → Medical and biomedical RAG
- Looking Again: Measuring Sycophancy in the Reasoning Chains of Multimodal Models Under PressureLLM reasoning → Multimodal reasoning
- Evaluating Multimodal LLMs across Text and Audio Modalities for Accessible Disaster AssistanceMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Paired Exact-Reset Evaluation of a Prediction-Derived Medium-to-Full World-Model CascadeWorld models → Embodied and robot world models
- Discrete Diffusion Language Models Are Training-Free Multi-Label ClassifiersDiffusion models → Discrete and text diffusion
- SMOPD: Selective Token-Entropy Masking for Dirty-History Multi-Turn On-Policy Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- NeuroPilot: An Agent-Driven Smart Pipeline for Processing, Quality Control, and Managing NeuroimagesLLM agents and tool use → Medical and scientific domain agents
- Can LLM Agents Price Competitively? A Dynamic Multi-Attribute Auction Benchmark for Agentic CommerceLLM agents and tool use → Financial trading and forecasting agents
- Agentic Coding in the Wild: Characterizing GitHub Copilot Traces at Production ScaleLLM agents and tool use → Software engineering coding agents
- SPARC-Rad: A Multimodal Benchmark Dataset and Evaluation Pipeline for Spatial and Anatomical Reasoning in Radiology Vision-Language ModelsLLM reasoning → Clinical and biomedical applications +1
- Video Models as Native 4D Renderers: World-Grounded Conditioning from Animated MeshDiffusion models → Video generation
- Fragility of Value under Imperfect AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Open-Source LLM-Driven Formal Verification: A Multi-Agent Pipeline for RTL RepairLLM agents and tool use → Software engineering coding agents
- Validation Evidence in LLM Repair Agents: How Much of What Passes Actually Tests the Bug?LLM agents and tool use → Software engineering coding agents
- Conditioning Tree-Based Diffusions and Flows for Probabilistic Tabular RegressionDiffusion models → Diffusion foundations and sampling
- Hypergradient-based Bilevel Reinforcement Learning with Improved Sample ComplexityLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- DeltaServe: Host-Agnostic Co-Serving of Inference and Fine-Tuning for LLMsEfficient LLM inference and serving → Serving systems and request scheduling
- CyberNeuro: A Privacy-Preserving Agentic Workbench for Cohort-Scale Neuroimage and Clinical Data AnalysisLLM agents and tool use → Medical and scientific domain agents
- When Unlearning Fails: Reliable Data Deletion under Post-Training in Agent NetworksLLM safety and security → Federated unlearning and poisoning
- Distilling Knowledge from Large Language Models into Lightweight Reinforcement Learning Agents for Autonomous Cyber OperationsLLM agents and tool use → Agent threats, guardrails and governance
- Building a Process-Modeling Tool using Agentic AI: An Experience Report on PM4Py-UCMLLM agents and tool use → Software engineering coding agents
- Preventing Premature Commitment in Coding Agents with an Evidence-Conditioned Execution LayerLLM agents and tool use → Software engineering coding agents
- WaiT for the Signal: Simple Frequency-Aware Flow-MatchingDiffusion models → Flow matching, time series and science
- SCMA: Structure-Conditioned and Metal-Aware Flow Matching for CT Metal Artifact ReductionDiffusion models → Medical imaging and segmentation
- Mirror LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- MMFGU: Multimodal Federated Graph UnlearningLLM safety and security → Graph unlearning
- Demystifying Entropy-based Selection for Chain-of-Thought Compression in Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- WitCert: Sound Runtime Risk Observability and Gating for KV-Cache QuantizationEfficient LLM inference and serving → KV cache quantization
- Flow Matching with Missing DataDiffusion models → Flow matching, time series and science
- Mitigating Class-Tail Undercoverage in Medical Vision-Language Models under Clinical ShiftMultimodal LLMs / vision-language models → Medical vision-language models
- SciToolAgent-Evo: An Ontology-Aware Self-Evolving Agent for Open-World Scientific Tool AcquisitionLLM agents and tool use → Web, search, and research agents +1
- Safety, or Just Capability? A Validity Audit of Agent-Safety BenchmarksLLM safety and security → Safety alignment, refusal and guardrails
- ReToken: One Token to Improve Vision-Language Models for Visual RetrievalMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- PhiZero: A World Model Built Around Physical LanguageWorld models → Video-generation world models and simulators
- Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion TransformersDiffusion models → Video generation +1
- OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward ModelsLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- Inducing language models to assert their own consciousness restores human beliefs and valuesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- FA-RDP: A Frequency-Adaptive Reactive Diffusion Policy for Contact-Rich ManipulationDiffusion models → Diffusion and flow policies for robotics
- Beacon: Knowing When and How to Perform Agentic Visual ReasoningLLM reasoning → Multimodal reasoning +2
- Change2Task: From Repository Changes to Executable Coding Agent Tasks and EnvironmentsLLM agents and tool use → Software engineering coding agents
- VAD: Attributing Visual Evidence for Target Reconstruction in Multimodal On-Policy DistillationKnowledge distillation → Multimodal distillation
- β-OPSD: Deriving with Policy Optimization, Training with Self-DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- DualG-MRAG: Decoupling Macro-Reasoning and Micro-Matching for Multimodal Retrieval-Augmented GenerationLLM reasoning → Multimodal reasoning +1
- Sample More, Reflect Less: Self-Refine and Reflexion Lose to Repeated Sampling at Equal Token Cost, from 1.5B to 7BLLM reasoning → Test-time compute and efficient thinking
- Rethinking Inference-Time Scaling in Local Computer-Use Agents: Failure Modes and Compute TradeoffsLLM reasoning → Reasoning for agents, planning and code +1
- Finding Change in Satellite Archives from Text: How to Combine Before-and-After Images EfficientlyState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning EngineeringSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- MIND: Multimodal Intent-Driven Network via Diffusion Transformers for Medical Image FusionDiffusion models → Medical imaging and segmentation
- X-NavDP: Generalizing Navigation Diffusion Policy to Novel Behavior and Embodiments with Group Q-score Reweighted MatchingDiffusion models → Diffusion and flow policies for robotics +1
- ORCA-bench: How Ready Are Language Model Agents for Oncall?LLM agents and tool use → Software engineering coding agents
- MANTA: Multi-Agent Network Topology Adaptation for Self-Evolving Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Stage-Replay Divergence Follows the KV Cache: Fixed-Prefix Precision Controls and Bidirectional Cache TransplantationEfficient LLM inference and serving → Efficient reasoning and agent inference
- Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- A report-grounded vision-language foundation model for colonoscopy from 280000 routine reportsMultimodal LLMs / vision-language models → Medical vision-language models
- Can Vision-Language Models Reason about AI Edits in Images?LLM reasoning → Multimodal reasoning +1
- VisualRouter: Query-Grounded Visual Sampling for Long Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Cybersecurity Detection Classification with Reasoning-enabled Language ModelsLLM reasoning → Reasoning for agents, planning and code
- SVR: Self-Verifying Refinement via Joint Verdict-Confidence Reinforcement Learning for Adaptive Test-Time ComputeLLM reasoning → Reinforcement learning for reasoning +1
- Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
- ViewMind3D: Modular View-Aware Inference for Training-Free 3D-QAMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- AgentRadio: Passive Awareness for Long-Horizon Multi-Agent CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
- QQWorld: Quantile-Quantile Matching for World Model RegularizationWorld models → Latent predictive world models
- QuantWAMs: Calibrating at the Right Granularity for World Action ModelsWorld models → Embodied and robot world models
- Why Are GUI Agents Correct but Late? Decode on the Decision-Time Critical Path, Tested with Pre-Compiled Policy TreesLLM agents and tool use → GUI and mobile agents
- GLM-RAG: Graph Language Models for Graph-Based Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- TacWAM: Anchor-Guided World Action Model with Mechanics-Aware Tactile PredictionWorld models → Embodied and robot world models
- Hierarchical Multilevel Monte Carlo for Order-Optimal Neural Actor-Critic in Average-Reward CMDPsDeep reinforcement learning methods → RL theory and sample complexity
- HyperClaim: Fine-Grained Cross-Modal Hypergraph Reasoning for Video Misinformation DetectionLLM reasoning → Multimodal reasoning
- LEDGERMIND: Provenance-Constrained Multimodal Agentic Reasoning with a Structured Evidence LedgerLLM reasoning → Multimodal reasoning +1
- How Benchmarks Mis-Score Computer-Use AgentsLLM agents and tool use → GUI and mobile agents
- ShadowDancer: Teaching Video World Models Any Action by Learning Unified Dynamics Representations from a Video and Its ShadowWorld models → Embodied and robot world models
- Capturing Token Tendencies for Training-Free Token Pruning in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Correcting What You Cannot See: Credit Assignment for Perception Distillation in Multimodal ReasonersKnowledge distillation → Multimodal distillation
- Paying for Honesty Without Knowing the Truth: Reputation-Penalty Design for LLM Marketplace AgentsLLM agents and tool use → Financial trading and forecasting agents
- PathView-Bench: Can Multimodal Large Language Models Achieve Fine-grained Multiscale Understanding of Pathology Images?Multimodal LLMs / vision-language models → Medical vision-language models
- One Human, N Agents: Audit-Budget Allocation for LLM Agent Fleets under Miscalibrated, Correlated ConfidenceLLM agents and tool use → Agent threats, guardrails and governance
- Beyond Geometric Complementarity: Coherent Overlap in Sparse Mixture-of-Experts RoutingMixture-of-experts → Expert routing strategies
- Tycho: Active Abstraction with Programmatic World Models for ARC-AGI-3World models → World models for language agents
- MSCM-net: A hyperspectral image classiffcation method based on multi-scale convolution and MambaState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
- MemHarness: Memory Is Reconstructed, Not ReplayedLLM agents and tool use → Agent memory systems
- Agentic Method for Deterministic Validation of Legacy Code MigrationLLM agents and tool use → Software engineering coding agents
- Theia: Large-Scale Multimodal Captioning and Automated Validation of the Incidents1M Dataset for Data-Free DistillationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +2
- EgoGenesis: Egocentric World-Action Modeling with Online Anchored Projective Memory and Action-3D RoPEWorld models → Embodied and robot world models
- EMBL AI Librarian: Life-Sciences Knowledge Layer for AI AgentsLLM agents and tool use → Web, search, and research agents
- Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI AgentsLLM agents and tool use → GUI and mobile agents
- Security of World-Model-Based Embodied AI: A Lifecycle of Threats, Defenses, and EvaluationWorld models → World model security and GUI agents +1
- FaithEyes: Towards Faithful Tool Use via Multi-Agent Process-Image VerificationLLM reasoning → Multimodal reasoning +2
- Scaling Vision-Language Models Is Not Enough to Mitigate BiasMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Vibe-FDTR: An agent-oriented framework for reproducible frequency-domain thermoreflectance data analysisLLM agents and tool use → Medical and scientific domain agents
- Fidelity Is Not Safety: Gently-Compressed LLMs Pass Every Data-Free Quality Guard Yet Invent Procedure Steps in Agentic ExecutionLLM agents and tool use → Agent memory systems
- Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content ModerationLLM safety and security → Safety alignment, refusal and guardrails
- AgenticASR: Refining Speech Recognition in Real-World Scenarios via an Agentic ApproachLLM agents and tool use → General LLM agent frameworks and benchmarks
- Commit Locally, Exit Globally: Coordinating Adaptive Sampling and Early Exit in Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- Piggybacking on Perception: Stealthy Concurrent Audio Prompt Injections against Multimodal LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- RRM: Experience-Driven Reflective Retrieval Memory for Long-Horizon Multimodal ReasoningLLM reasoning → Reasoning for agents, planning and code
- OPLD: On-Policy Latent Distillation for Multimodal ReasoningLLM reasoning → Multimodal reasoning
- SmartGen: Seamless Disaggregated LLM Inference with Selective KV Cache TransferEfficient LLM inference and serving → KV cache optimization
- Agent Harness Distillation: Inference-Time Harness Extraction and Exploitation in Autonomous Multi-Agent SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Can Agents Deceive? Evaluating Reasoning and Deception in ParliamentBench using a Social Deduction GameLLM reasoning → Reasoning for agents, planning and code +1
All 522
- LM-GRASP: Instance-Specific Language Models for Combinatorial Construction via Online Imitation LearningOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- Rethinking LLM-Judged Helpfulness as a Pedagogy Signal: A Pre-Registered Audit Across Tutor ModelsLLM reasoning → Reasoning benchmarks and evaluation
- FinSMART: Financial Sentiment Analysis for Algorithmic Trading through Market-Aligned Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
- MIND: Lightweight and Effective Memory Injection Defense for LLM Agents via Intent-Aware Information BottleneckLLM agents and tool use → Agent threats, guardrails and governance
- From Expert Reduction to Behavioral Divergence: Tracing Numerical State through Sparse MoE InferenceMixture-of-experts → Efficient MoE training and inference systems
- LEEPS: Latent-Guided Explore-Exploit Prompt Sampling for Efficient RLVR in Large Language ModelsLLM reasoning → Reinforcement learning for reasoning
- Group-Reflective Self-Distillation for Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents +1
- Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at ScaleLLM agents and tool use → General LLM agent frameworks and benchmarks
- SemPIC: Learning Semantic Position-Independent KV CachesLLM agents and tool use → Software engineering coding agents +1
- BladeYOLO: Wind Turbine Blade Defect Detection with Limited Annotations and Weak-Saliency AwarenessState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Temporal Concentration from Rollout Errors: Implicit Preference Optimization for Text-to-Video DiffusionDiffusion models → Video generation +1
- SKILL-KD: Contrastive Skill Distillation for LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- ClawTrack: Towards Trace-Level Evaluation and Improvement of Real-World Autonomous AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- DataClawEval: A Benchmark for Data Engineering Agents in Real Industrial HarnessLLM agents and tool use → Web, search, and research agents
- VISA: A Structured Description Protocol for Agent-Based Simulation Models Towards Machine ReproducibilityLLM agents and tool use → Software engineering coding agents
- Contrastive Reinforced Policy Optimization via Privileged Self-DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Flux-OPD: On-Policy Distillation with Evolving ContextsKnowledge distillation → On-policy and self-distillation for LLMs
- RepBench: Compiling Benchmarks into Capability Representations for Large Language ModelsMechanistic interpretability → Knowledge and representations inside LLMs
- Share the Judge, Learn the Deferral: Where Specialization Helps LLM EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- TAPO: Transition-Aware Policy Optimization for LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- Beyond Binary Rewards: A Comparative Study of Reward Design for Reinforcement UnlearningLLM safety and security → Machine unlearning
- FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image RetrievalLLM reasoning → Multimodal reasoning +1
- Sigma-Mem: An Online Reliability Memory for LLM-based Multi-Agent SystemsLLM agents and tool use → Agent memory systems
- LAST: The Last Query Token Guides Visual Token Pruning for Edge-Cloud Collaborative MLLM InferenceEfficient LLM inference and serving → Visual token pruning in multimodal models
- Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability AnalysisLLM agents and tool use → General LLM agent frameworks and benchmarks
- TriShield: Zero-Utility-Loss Defense Against Privacy Backdoors in Federated Language Model Fine-Tuning via Orthogonal Gradient Projection and Optimizer State EntanglementLLM safety and security → Federated unlearning and poisoning
- From Scoring to Acting: Outcome-Verified Comparative Self-Distillation for LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents +1
- The Geometry of Flow-Matching Uncertainty: A Cost-free Uncertainty Proxy and Its Application in Flow-based VLA Failure DetectionDiffusion models → Flow matching, time series and science
- Meta-Task: Turning Terminal Task Synthesis into a Terminal Task for Scalable Agent TrainingLLM agents and tool use → General LLM agent frameworks and benchmarks
- ODEWorld: A Continuous Predictive Architecture via Physical-Time FlowWorld models → Latent predictive world models
- Memory Decoder at Scale: A Pretrained, Parametric Long-Term MemoryLLM reasoning → Test-time compute and efficient thinking
- One Anchor for All: Unified Multilingual and Multimodal Safety Alignment for LVLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
- Exact Action Values Are Not Enough: Rollout-Verified Reinforcement Fine-Tuning of a Reasoning Model for Multi-Zone VAV ControlLLM reasoning → Reinforcement learning for reasoning
- A Cross-Architecture Audit of Direction-Based Inference-Time Defences in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Class-Aware Reinforcement Learning for Counterfactual Explanation GenerationDeep reinforcement learning methods → Interpretable and logic-guided RL
- Unifying Adversarially Robust Model Experts in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Not All Tokens Deserve Equal Credit: Counterfactual Sensitivity Credit Reallocation for Long-CoT ReasoningLLM reasoning → Reinforcement learning for reasoning
- RoboBRIDGE: A Modular Framework for Bridging Policies to Robust Real-World Robotic AgentsVision-language-action models → Failure recovery and robustness
- ARES: Adaptive Reasoning-Effort Steering for PPA- and Cost-Aware RTL Optimization with LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- Orca: Neural Operators for Causal Reasoning in Continuous TimeLLM reasoning → Causal reasoning in LLMs
- FinanceHarness: Autonomous Financial Deep Research FrameworkLLM agents and tool use → Financial trading and forecasting agents
- FeatFix: Reuse What You Verify through Local Exact-Feature Correction for Faster Cached Diffusion InferenceDiffusion models → Diffusion foundations and sampling
- Crossing the Margin Cliff: Toward Relearn-Robust LLM Unlearning via Margin CalibrationLLM safety and security → Machine unlearning
- MemTxn: A Transaction Boundary for Source-Supported Updates and Complete-State Recovery in Agent MemoryLLM agents and tool use → Agent memory systems
- Thinking Once Is Enough: Intermediate-Layer Evidence Routing for High-Resolution VQALLM reasoning → Multimodal reasoning +1
- Hallucinations Leave a Grounding Signature:Verifier-Guided Decoding for Selective Object CorrectionMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- SPFM-Net: Semantic-Prior-Guided Frequency-Constrained Mamba for Invisible Watermark AttackState-space sequence models (S4, Mamba) → Mamba for image restoration
- FDDWAN: A Frequency-Decoupled Diffusion Network for Watermarking AttackLLM safety and security → Watermarking generated content and models
- MemeBench: What LVLMs Miss When Interpreting Culture-Dependent MemesMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- LoRA Scaffolded Policy Optimization (LSPO): A Sampling-Time Low-Rank Scaffold for Recovering Reinforcement-Learning Gradient on Zero-Reward Cliff PromptsLLM reasoning → Reinforcement learning for reasoning
- Reasoning Consensus: Structural Ensembling of LLM Reasoning via Weighted DAG AggregationLLM reasoning → Reasoning benchmarks and evaluation
- RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA PolicyVision-language-action models → Efficient VLA inference and adaptation +2
- ChronoMem: Version Control and Semantic Rollback for Large Language Model Agent MemoryLLM agents and tool use → Agent memory systems
- Hierarchical Latent Reasoning for LLM-based RecommendationLLM reasoning → LLM reasoning for recommendation
- Can LVLMs Uncover the Truth Behind Visual Illusions? An Analysis of Perceptual and Reasoning CapabilitiesLLM reasoning → Multimodal reasoning +1
- Improving the Robustness/Accuracy Tradeoff Against Adversarial Attacks Using Information Bottleneck Distillation Through Dual TeachersKnowledge distillation → Federated, robust and private distillation
- A Sparse Glimpse of the Whole: Train-Free Self-Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- VeriSkill: A Self-Evolution Framework for Program Verification SkillsLLM agents and tool use → Agent skill learning and evolution
- Baikal: Structured Search for Deep Research over Data LakesLLM agents and tool use → Web, search, and research agents
- SpatialCLI: Learning to Reason With Spatial Tools, Then Without ThemLLM reasoning → Spatial and embodied reasoning +2
- Calibrate Before Reason: Robust Visual Token Reduction against Semantic Drift in VLMsLLM reasoning → Multimodal reasoning +2
- RefineSVG: Visual Feedback-Driven Reinforcement Learning for Image-to-SVG GenerationMultimodal LLMs / vision-language models → Chart understanding and anomaly detection +1
- GyRot: Leveraging Hidden Synergy between Rotation and Fine-grained Group Quantization for Low-bit LLM InferenceEfficient LLM inference and serving → KV cache quantization
- Recall Before You Rank: Similarity-Guided Top-K Reuse for Efficient Long-Context AttentionEfficient LLM inference and serving → KV cache optimization
- Rehearse: Stepping Back from the Confidence Cliff in Self-Improving AutoresearchSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- JigShape: Evaluating Visual-Geometric Reasoning in VLMs through Jigsaw PuzzlesLLM reasoning → Spatial and embodied reasoning
- Witness Evidence Portfolios: Single-Prefill Risk Detection for Closed Multimodal AnswersMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Harness-G: A Graph-Structured Harness for Search AgentsDeep reinforcement learning methods → RL training of language and agent models
- MMOOC: A Comprehensive Benchmark for Out-of-Context Evaluation in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- HALO: Heterogeneous Admission through Localized Obligations for Safe Agentic ExecutionLLM agents and tool use → Agent threats, guardrails and governance
- ReDiPPO: Reference-Guided Value Calibration and Discrepancy-Aware Token Reweighting for Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning
- Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL FinetuningLLM reasoning → Reinforcement learning for reasoning
- Back from the Future: Key-Value Cache Management by Counter-Causal SurpriseEfficient LLM inference and serving → KV cache optimization
- World Action Planner: Generalizable Decision-Making with Action-Conditioned World ModelsWorld models → Embodied and robot world models
- A Systems Engineering Framework for Vision-Language-Enabled UAV Triage and Disaster ResponseMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Beyond Similarity: Grounded Agentic Extraction and Expert-Adjudicated Evaluation of Intertextuality in Classical Chinese HistoriesLLM agents and tool use → General LLM agent frameworks and benchmarks
- Compliance2LoRA: Personalizable On-Demand Safety Alignment on Arbitrary Policy Subsets via Hypernetwork-Generated LoRA AdaptersLLM reasoning → Reasoning for agents, planning and code +2
- Heterogeneous Ranking in Industrial-Scale Recommender Systems: A Case StudyMixture-of-experts → MoE for recommender systems
- Policy Gradient Steering: Interventions from Behavioral ObjectivesMechanistic interpretability → Activation steering methods +1
- Inference-Time Agentic Decision Rules Beat Longer Evolving Search for Multi-Image Medical ReasoningLLM agents and tool use → Medical and scientific domain agents
- DeepResearch Agent SystemLLM agents and tool use → Web, search, and research agents
- Evaluating Agentic Bioinformatics through Function, Evidence, and ValidationLLM agents and tool use → Medical and scientific domain agents
- Cross-Embodiment Transfer via Behavior-Aligned RepresentationsOffline RL and imitation learning from data → Robot manipulation imitation learning
- ProgFormer: Hierarchical Voxel Diffusion Transformer for Longitudinal Brain MRI PredictionDiffusion models → Medical imaging and segmentation
- Curriculum-Based Noise Adaptation for Phoneme-to-Text Reconstruction in Visual Speech Recognition
- Diagnose, Recover, Certify: Task Readiness under Hidden Dynamics Changes
- Viveka-Insight: a cross-lingual concept graph and citation-grounded retrieval resource over the complete works of Swami Vivekananda in English and Bengali
- SAGG: Sample-Adaptive Gradient Gating for Robust Multimodal Learning under Heterogeneous Corruption
- Not All Layers Are Equal: Dynamic Layer Routing for Reliable CLIP OOD Detection
- Queries Knew More Than We Thought: Uncovering Latent Knowledge in Segmentation Models
- Speaker or Language? Explaining Variance in Charismatic Prosody Across Luxembourgish and French
- Speaker-Specific and Language-Dependent Temporal Organization in Bilingual Political Speech
- Models as Governed Interfaces for AI-Native MBSE: Read-Side Adequacy and Write-Side Admissibility
- Beyond Cultural Knowledge: Evaluating Arabic Cultural Appropriateness of Large Language Models
- Stop Indexing at Full Precision: Revisiting Clustering for Vector Embeddings
- iFuzz-Meta: An Interpretable Fuzzy Learning Framework Bridging Top-Down and Bottom-Up Knowledge Integration
- The Edge-based Contiguous p-median Problem with Connections to Logistics Districting
- Rescene: band-limited stochastic forcing turns a frozen neural weather operator into a climate emulator
- An AI Scientist that Doesn't Drift: Taste, Structure, and Falsifiable Findings in a Quadruped Navigation Research Loop
- LLMBDC: Language Model for Biological Domains Oriented Clustering of Gene Ontology
- GRAIN: Molecules Are Not the Right Granularity -- Active-Ingredient Modeling for Safe Medication Recommendation
- Untrainable elements determine what physical learning remembers
- Logographic Character Visual Pretraining via Semantic-based Contrastive Learning
- Rethinking Total Absorption Gamma Spectroscopy Deconvolution: Supervised Machine Learning vs Response-Matrix Methods
- DODA: A Database of Datasets for Aesthetics Research
- SymNet: A Multi-Task Network for Joint Radio Map Reconstruction and Transmitter Localization
- DS@GT ARC at MEDIQA-CORE-Task-1 2026: Trimodal Model Fusion with Task-Specific Gates for Brain Tumor Subtype Classification
- TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models
- Identifying Informative Environments for Cognition Parameter Inference via Bayesian Experimental Design
- Agreement Is Not Quality: Blind Expert Verification of Human and LLM Qualitative Coding When Human Consensus Is Not Ground Truth
- Human-LLM Collaborative Inductive Coding for Conceptualizing K-12 Educator AI Use
- To Add Is Machine, To Delete Is Human: Measuring and Mitigating Deletion Avoidance in LLM Code Editing
- LayoutBench: Performance Benchmarking of Cloud Storage Layouts for Multimedia Data
- RareSense: Rarity-Aware Similarity Search for Anomaly Retrieval in Transactional Data
- Learning to Predict Performance-induced Emotion Differences in Classical Piano Music
- Physics-Aligned Self-Supervised Learning for Scientific Imaging
- TextCloak: Thwarting Unauthorized LLM Exploitation via RL-Driven Unlearnable Text
- The Debiased Score Test: Hunt-and-test for Semiparametric Hypotheses
- A Unified Benchmark of Deep Learning Models for Multi-task 3D Brain Tumor Segmentation from Magnetic Resonance Imaging
- Fast Rates for Swap-Agnostic Learning of Proper Losses
- Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds
- An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks
- Seeing the Forest for the Trees: The Gaussian Process Limit of BART
- Benchmarks Are Not Validation: A System-Level View of Financial LLM Applications
- FocusGS: Spatial Delta Layers for Local Repair and Deterministic Editing of Trained 3D Gaussian Assets
- Best Friends, Not Forever: Evaluating Long-Horizon Persona Collapse and Behavioral Drift in AI Companions
- Rolling With Resistance: Preference-Optimized LLM Counselors Can Trade Goal Persistence for Relational Attunement in Motivational Interviewing
- Bayesian Mediation Analysis for Individualized Treatment Rules
- Model or Harness? An Interaction-Centric Taxonomy for Localizing Agent Failures
- Benchmarks Are Not Monolithic: Sample-Level Auditing and Orchestration for LLM Evaluation
- Can Synthetic Data Overcome the Generalization Limits of AI-Based Flower and Pod Detection Across Cowpea Breeding Genotypes and Environments?
- EarlyDx: An Admission-Anchored Benchmark for Open-Ended Generation of Evidence-Supported ED-Encounter Diagnoses
- Stratified Negation in RDF Rules: A Correct Approach (Extended Version)
- Self-Supervised Skill Optimization
- Representations from Pretrained Machine-Learning Interatomic Potentials as Coarse Coordinates for Material Generation and Evaluation
- Do Medical Foundation Models Generalize on the African Brain?
- Uncertainty-Aware Deepfake Detection via Multi-View Structural Learning
- The Morphological Core of Dungan: A Two-Dialect Finite-State Model and a Multi-Genre Evaluation
- Feature Interaction Modeling for Neural Operators
- TAGTorch: A PyTorch Library for Geometry, Topology, and Symmetry-Aware Machine Learning
- ReLoop-UME: Recurrent Depth with Learnable Retrieval Registers for Universal Multimodal Embedding
- DragonCrawl: A Generative, Intent-Based Framework for Scalable Mobile End-to-End Testing
- A user's guide to PINNs in geometric analysis: lessons from the asymptotic Plateau problem
- Accelerated Random-Sweep Gibbs Sampling for Gaussian Graphical Models via Dual Normal Factor Graphs
- Simulative Anomaly Detection using 2D Tomography
- Predicting Steel Fatigue Life from Micrographs Using Physics-Informed Deep Learning
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