Papers
Tue 16 Jun 2026
479 papers
- Exploratory As-Analyzed No-Detection of Culturally-Marked Predicate-Triggered PII Amplification in a Synthetic-English RAG Probe: A Predicate-Resource-Confounded AuditRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Bridge Graphical Models: Coupling, Projection, and Current-Preserving Dynamics for Generative ModelingDiffusion models → Diffusion foundations and sampling
- AgentMemBench: A Systematic Benchmark for Evaluating Long-Term Memory Management Strategies in Conversational AI AgentsLLM agents and tool use → Agent memory systems
- Centralized PPO-Based DRL for Multi-UAV-BS Positioning and Trajectory Optimization in Disaster Response NetworksDeep reinforcement learning methods → RL for robot navigation and UAV control
- Agentic AI Enhances Physician Trust in Clinical Decision MakingLLM agents and tool use → Medical and scientific domain agents
- The Consistency Dilemma in LLMs: Generator-Evaluator Agreement and Vulnerability to MistakesLLM reasoning → Test-time compute and efficient thinking +1
- Legal Reasoning Is Not Lawyering: Rethinking Legal Benchmarks for Pro Se Access to JusticeLLM reasoning → Reasoning for agents, planning and code
- When Web Agents Finish but Still Fail: Reproducible Triggers and Trace Diagnostics for Parallel Web ExplorationLLM agents and tool use → Web, search, and research agents
- Evaluation of Medical Vision Language Models HuluMed and MedGemma, and general purpose chatbots Gemma 3, ChatGPT Plus, and Claude Pro on real previously unseen wound imagesMultimodal LLMs / vision-language models → Medical vision-language models
- Multimodal Image Colorization: Quantifying the Impact of Text-Conditioned Guidance on Grayscale-to-Color TranslationDiffusion models → Image generation, text-to-image and editing
- MIRAGE: Stealthy Visual Prompt Injection for Vulnerability Detection in Web AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- TeleStyle V2: Beyond Content-Preserving Style Transfer with Self-Distillation and Distribution-Matching-DistillationKnowledge distillation → Multimodal distillation
- Simulated Customers Never Walk Away: Decision Fidelity of LLM User Simulators Measured Against Real Purchase OutcomesLLM agents and tool use → Social simulation and multi-agent debate
- Execution-bound advisory automation for agentic AI: a reproducible AIBOM-driven CSAF-VEX frameworkLLM agents and tool use → Agent threats, guardrails and governance
- Beyond the GUI Paradigm: Do Mobile Agents Need the Phone Screen?LLM agents and tool use → GUI and mobile agents
- CEO-Bench: Can Agents Play the Long Game?LLM agents and tool use → General LLM agent frameworks and benchmarks
- Effects of sparsity and superposition on loss in simple autoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- Do as the Romans Do: Learning Universal Behaviors from Heterogeneous AgentsOffline RL and imitation learning from data → Inverse reinforcement learning
- When Does Trajectory-Level Supervision Permit Efficient Offline Reinforcement Learning?LLM reasoning → Reinforcement learning for reasoning +1
- MCompassRAG: Topic Metadata as a Semantic Compass for Paragraph-Level RetrievalRetrieval-augmented generation → Multimodal RAG
- Quantum Annealing Enhanced Reinforcement Learning for Accurate Remaining Useful Lifetime PredictionDeep reinforcement learning methods → Quantum reinforcement learning
- Towards Scalable Customization and Deployment of Multi-Agent Systems for Enterprise ApplicationsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Ghost Vectors: Soft-Deleted Embeddings Remain Reconstructible in HNSW Vector DatabasesRetrieval-augmented generation → Privacy and security of RAG
- Data-Forcing Distillation: Restoring Diversity and Fidelity in Few-Step Video GenerationDiffusion models → Video generation
- PreUnlearn: Auditing Collateral Knowledge Damage Before Large Language Model UnlearningLLM safety and security → Machine unlearning
- Domain Generalizable Adaptation of 3D Vision-Language Models via Regularized Fine-TuningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- ToolChain-CRC: Conformal Risk Control for Agentic AI Under Retrieval and Tool-Use DriftLLM agents and tool use → Tool learning and function calling
- LLM Parameters for Math Across Languages: Shared or Separate?LLM reasoning → Mathematical reasoning
- VISUALSKILL: Multimodal Skills for Computer-Use AgentsLLM agents and tool use → GUI and mobile agents
- Reasoning as Intersection: Consensus-Frame Alignment for Visual Focus in Video-MLLMsLLM reasoning → Multimodal reasoning +1
- Beyond Prediction: Tail-Aware Scheduling for LLM InferenceEfficient LLM inference and serving → Serving systems and request scheduling
- Signature filtering: a lightweight enhancement for statistical watermark detection in large language modelsLLM safety and security → Watermarking generated content and models
- CoreMem: Riemannian Retrieval and Fisher-Guided Distillation for Long-Term Memory in Dialogue AgentsEfficient LLM inference and serving → KV cache optimization
- JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree DraftingEfficient LLM inference and serving → Speculative decoding
- Want Better Synthetic Data? Steer It: Activation Steering for Low-Resource Language GenerationSynthetic data and self-improvement for LLMs → LLM synthetic data generation +1
- LLMZero: Discovering Adaptive Training Strategies for RL Post-Training via LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
- CaVe-VLM-CoT: An Interpretable Vision-Language Model FrameworkMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- When Can We Trust the Sparse Lens? A Certification Framework for SAE FaithfulnessMechanistic interpretability → SAE features and their applications
- SproutRAG: Attention-Guided Tree Search with Progressive Embeddings for Long-Document RAGRetrieval-augmented generation → RAG pipeline design and evaluation
- PAIWorld: A 3D-Consistent World Foundation Model for Robotic ManipulationWorld models → Embodied and robot world models
- SafeClawBench: Separating Semantic, Audit-Evidence, and Sandbox Harm in Tool-Using LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Structural MRI Synthesis for Alzheimer's Disease via Conditional Diffusion on Anatomical MasksDiffusion models → Medical imaging and segmentation
- Self-CTRL: Self-Consistency Training with Reinforcement LearningLLM reasoning → Test-time compute and efficient thinking +1
- SAE Interventions are Unreliable: Post-Intervention Recovery of Suppressed BehaviorMechanistic interpretability → Sparse autoencoder training and evaluation
- Conflict-Aware Retriever Editing for Knowledge Injection Attacks on LLM-Based RAG SystemsRetrieval-augmented generation → Privacy and security of RAG
- SAGE: Retain-Aware Post-Hoc Sanitization of Final Unlearning VectorLLM safety and security → Machine unlearning
- Attribution-Guided and Coverage-Maximized Pruning for Structural MoE CompressionMixture-of-experts → MoE large language models
- Future Dynamic 3D Reconstruction: Toward 3D World Modeling with Disentangled Ego-MotionWorld models → Video-generation world models and simulators
- Visual Verification Enables Inference-time Steering and Autonomous Policy ImprovementVision-language-action models → Reinforcement learning and post-training
- EventDrive: Event Cameras for Vision-Language Driving IntelligenceEnd-to-end autonomous driving → VLMs for autonomous driving
- ReproRepo: Scaling Reproducibility Audits with GitHub Repository IssuesLLM agents and tool use → Web, search, and research agents
- EvolveNav: Proactive Preflection and Self-Evolving Memory for Zero-Shot Object Goal NavigationSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- Learning Red Agent Policy from Observations for Neurosymbolic Autonomous Cyber AgentsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Zone of Proximal Policy Optimization: Teacher in Prompts, Not GradientsKnowledge distillation → On-policy and self-distillation for LLMs +1
- Looped World ModelsWorld models → Latent predictive world models
- RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical SkillsLLM agents and tool use → Medical and scientific domain agents
- Seeing Is Not Screening: Multimodal Hidden Instruction Attacks on Agent Skill ScannersLLM agents and tool use → Agent threats, guardrails and governance
- Learning from the Self-future: On-policy Self-distillation for dLLMsKnowledge distillation → On-policy and self-distillation for LLMs
- A Red-Team Study of Anthropic Fable 5 & Opus 4.8 ModelsLLM safety and security → Jailbreaking
- Kolmogorov Regression for Robust Diffusion PoliciesDiffusion models → Diffusion and flow policies for robotics
- EgoCS-400K: An Egocentric Gameplay Dataset for World ModelsWorld models → Video-generation world models and simulators
- All Smoke, No Alarm: Oracle Signals in Agent-Authored Test CodeLLM agents and tool use → Software engineering coding agents
- The Measurement Gap in the Automation of EU Law: Benchmarking Doctrinal Legal Reasoning under the EU AI ActLLM reasoning → Reasoning for agents, planning and code
- WEQA: Wearable hEalth Question Answering with Query-Adaptive Agentic ReasoningLLM reasoning → Clinical and biomedical applications +1
- Your AI Travel Agent Would Book You a Bullfight: An Agentic Benchmark for Implicit Animal Welfare in Frontier AI ModelsLLM agents and tool use → Social simulation and multi-agent debate
- Knowledge Reutilization in Meta-Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision OncologyMixture-of-experts → Medical and biomedical MoE
- Ternary Mamba: Grouped Quantization-Aware Training of W1.58A16 State Space ModelsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation SystemLLM agents and tool use → Multimodal and embodied agents
- Learning Fair Pareto-Optimal Policies in Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Deep Reinforcement Learning for Minimum Zero-Forcing SetsDeep reinforcement learning methods → RL for games and combinatorial optimization
- HistoRAG: Embedding Historical Methodology in Retrieval-Augmented Generation Through Critical Technical PracticeRetrieval-augmented generation → RAG pipeline design and evaluation
- Trust the Right Teacher: Quality-Aware Self-Distillation for GUI GroundingKnowledge distillation → Multimodal distillation
- S4oP: Operator-level Pruning of Structured State Space Models for Resource-Constrained DevicesState-space sequence models (S4, Mamba) → Core SSM architectures for language
- From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- A Unified Framework for Context-Aware and Relation-Aware Graph Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Volterra Generative ModelsDiffusion models → Diffusion foundations and sampling
- Agentic AI-based Framework for Mitigating Premature Diagnostic Handoff and Silent Hallucination in Healthcare ApplicationsLLM agents and tool use → Medical and scientific domain agents
- NoiseTilt: Noise-Tilted Reverse Kernels for Diffusion Reward AlignmentDiffusion models → Diffusion and flow policies for robotics
- Intelligence Entropy Principle and the ADE Stability Engineering FrameworkLLM agents and tool use → General LLM agent frameworks and benchmarks
- PseudoBench: Measuring How Agentic Auto-Research Fuels PseudoscienceLLM agents and tool use → Web, search, and research agents
- ConSA: Controllable Sparsity in Hybrid Attention via Learnable AllocationEfficient LLM inference and serving → KV cache optimization
- Compositional Skill Routing for LLM Agents: Decompose, Retrieve, and ComposeLLM agents and tool use → Agent skill learning and evolution
- Uncertainty Quantification for Flow-Based Vision-Language-Action ModelsVision-language-action models → Failure recovery and robustness +1
- ProvenanceGuard: Source-Aware Factuality Verification for MCP-Based LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation ScalingEfficient LLM inference and serving → Efficient reasoning and agent inference
- Recursive Scaling in Masked Diffusion ModelsDiffusion models → Discrete and text diffusion
- LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AILLM agents and tool use → Medical and scientific domain agents
- PhaseWin: An Efficient Search Algorithm for Faithful Visual AttributionMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- LLM Consumer Behavior Theory: Foundations of a Novel Research FieldLLM agents and tool use → Social simulation and multi-agent debate
- A T-API-Compliant ReAct Agentic Loop for Optical Networks: Generic vs. Domain-Specific Tool AbstractionsLLM agents and tool use → Agentic AI for wireless networks
- VoidPadding: Let [VOID] Handle Padding in Masked Diffusion Language Models so that [EOS] Can Focus on Semantic TerminationDiffusion models → Discrete and text diffusion
- LAGO Policy: Latency-Aware Asynchronous Diffusion Policies with Goal-Directed Collision-Free Planning for Smooth ManipulationDiffusion models → Diffusion and flow policies for robotics
- STAR: SpatioTemporal Adaptive Reward Allocation for Text-to-Image RL Post-TrainingDiffusion models → Diffusion and flow policies for robotics +1
- Reload-Mamba: Hierarchical Anti-Dilution State-Space Modeling for Multi-Class Semantic SegmentationState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Beyond Visual Cues: CoT-Enhanced Reasoning for Semi-supervised Medical Image SegmentationLLM reasoning → Clinical and biomedical applications
- MLLMs Get It Right, Then Get It Wrong: Tracing and Correcting Late-Layer Textual BiasMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SoftMoE: Soft Differentiable Routing for Mixture-of-Experts in LLMsMixture-of-experts → Expert routing strategies
- RouteBalance: Fused Model Routing and Load Balancing for Heterogeneous LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- ThinkingVLA: Interleaved Vision and Language Reasoning for Robotic ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA
All 479
- PreAct: Computer-Using Agents that Get Faster on Repeated TasksLLM agents and tool use → GUI and mobile agents
- PearlVLA: Progressive Embodied Action-Plan Refinement in Latent SpaceVision-language-action models → World model-based VLA
- Trustworthy Self-Composable Big-Data-as-a-Service: An LLM-Orchestrated Multi-Agent Framework for Automated Data Engineering, AutoML, MLOps Deployment, and Drift-Aware Lifecycle OptimizationLLM agents and tool use → Web, search, and research agents
- WAM-RL: World-Action Model Reinforcement Learning with Reconstruction Rewards and Online Video SFTWorld models → Latent dynamics models and model-based RL +1
- ChLogic: Evaluating Robustness of Logical Reasoning in Chinese ExpressionsLLM reasoning → Reasoning benchmarks and evaluation
- Condition-Wise Sinkhorn Drifting for One-Shot Learned Channel SimulationDiffusion models → Diffusion for compression and wireless
- Dynamic Rollout Editing for Reducing Overthinking in RL-Trained Reasoning ModelsLLM reasoning → Reinforcement learning for reasoning
- MathVis-Fine: Aligning Visual Supervision with Necessity via Progressive Dependency-Guided Training for Multimodal Mathematical ReasoningLLM reasoning → Multimodal reasoning
- AnchorKV: Safety-Aware KV Cache Compression via Soft Penalty with a Refusal AnchorEfficient LLM inference and serving → KV cache optimization +1
- GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?LLM agents and tool use → Software engineering coding agents
- FlowRAG: Synergizing Explicit Reasoning via Frequency-Aware Multi-Granularity Graph FlowRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Environment-Grounded Automated Prompt Optimization for LLM Game AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- A Framework for Evaluating Agentic Skills at ScaleLLM agents and tool use → Agent skill learning and evolution
- Beyond Native Success: Auditing Deployment-Interface Exposure of CLIP BackdoorsLLM safety and security → Backdoor and data poisoning attacks
- PhASE-Flow: Phonetic-Conditioned Acoustic Flow Matching in SSL Representation Domain for Speech EnhancementDiffusion models → Audio, speech and music
- Continual Self-Improvement with Lightweight Experiential Latent MemoriesLLM reasoning → Reinforcement learning for reasoning +1
- MaineCoon: Pursuing A Real-Time Audio-Visual Social World ModelWorld models → Video-generation world models and simulators
- Position: Coding Benchmarks Are Misaligned with Agentic Software EngineeringLLM agents and tool use → Software engineering coding agents
- LiveStarPro: Proactive Streaming Video Understanding with Hierarchical Memory for Long-Horizon StreamsEfficient LLM inference and serving → Visual token pruning in multimodal models
- Mind Companion: An Embodied Conversational Agent for Process-Based PsychotherapyLLM agents and tool use → Medical and scientific domain agents
- LUMEN: Coordinated Failure Recovery for Distributed LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Shattering the Autoregressive Curse: Dynamic Epistemic Entropy Orchestrated Erasable Reinforcement Learning for LLMsLLM reasoning → Reinforcement learning for reasoning
- ActWorld: From Explorable to Interactive World Model via Action-Aware MemoryWorld models → Video-generation world models and simulators
- LongWebBench: Evaluating Structural and Functional Webpage Generation in Long-Horizon SettingsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Vision-language models for chest radiography do not always need the imageMultimodal LLMs / vision-language models → Medical vision-language models
- EComAgentBench: Benchmarking Shopping Agents on Long-Horizon Tasks with Distributed Hidden IntentLLM agents and tool use → Social simulation and multi-agent debate
- SuCo: Sufficiency-guided Continuous Adaptive ReasoningLLM reasoning → Test-time compute and efficient thinking
- From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- EnvRL: Learn from Environment Dynamics in Agentic Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- See First, Answer Later: Visual Evidence Pre-Alignment via Sufficiency-Driven RLLLM reasoning → Multimodal reasoning +1
- Do We Really Need Diffusion? A Fast U-Net for Paired Medical Image TranslationDiffusion models → Medical imaging and segmentation
- MambaCount: Efficient Text-guided Open-vocabulary Object Counting with Spatial Sparse State Space Duality BlockState-space sequence models (S4, Mamba) → Vision Mamba backbones
- From Brewing to Resolution: Tracing the Internal Lifecycle of Code Reasoning in LLMsLLM reasoning → Reasoning for agents, planning and code
- Beyond Domains: Reusing Web Skills via Transferable Interaction PatternsLLM agents and tool use → Web, search, and research agents
- FinAcumen: Financial Multimodal Reasoning via Self-Evolving Experience Memory HarnessLLM reasoning → Reasoning for agents, planning and code +1
- ERQA-Plus: A Diagnostic Benchmark for Reasoning in Embodied AILLM reasoning → Spatial and embodied reasoning
- OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Divide, Deliberate, Decide: A Multi-Agent Framework for Fine-Grained Egocentric Action RecognitionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- RAVA: Retrieval-Augmented Viewpoint Alignment for Subject-Driven Image GenerationRetrieval-augmented generation → Multimodal RAG
- Flux-Guard: Facial Identity Protection using diffusion modelsDiffusion models → Robustness, privacy and adversarial aspects
- MuseVLA: An Adaptive Multimodal Sensing Vision-Language-Action Model for Robotic ManipulationVision-language-action models → Generalist VLA models and benchmarks
- Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement LearningLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Root-Selecting Fixed-Point Inversion for Rectified Flows via Trajectory StraightnessDiffusion models → Image generation, text-to-image and editing
- Cordon: Semantic Transactions for Tool-Using LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- AoiZora: Topology-Aware Auto-Parallel Optimization for Inference of Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- RT-Counter: Real-Time Text-Guided Open-Vocabulary Object CountingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Universal Image Restoration via Internalized Chain-of-Thought ReasoningLLM reasoning → Multimodal reasoning
- Reversal Q-LearningDiffusion models → Diffusion and flow policies for robotics +2
- SEAGym: An Evaluation Environment for Self-Evolving LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Continuous-time Optimal Stopping through Deep Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Offline Preference-Based Trajectory EvaluationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Reinforcing Dual-Path Reasoning in Spatial Vision Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- OmniDrive: An LLM-Choreographed Multi-Agent World Model with Unified Latent Co-Compression for Multi-View Driving Video GenerationWorld models → World models for autonomous driving +2
- Learning to Refine Hidden States for Reliable LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- Scaling Enterprise Agent Routing: Degradation, Diagnosis, and RecoveryLLM agents and tool use → General LLM agent frameworks and benchmarks
- SPHINX: First Explain, Then ExploreMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- GeneralVLA-2: Geometry-Aware Reconstruction and Governed Memory for Robot PlanningVision-language-action models → 3D and spatial-aware VLA
- Decoding Hidden Deception in Reasoning LLMs: Activation Explainers for Deception AuditingLLM reasoning → Prompting and chain-of-thought reasoning
- Theoretical Grounding of Out-Of-Distribution Detection With Reinforcement Learning OptimizerDeep reinforcement learning methods → Deep RL algorithms and representations
- PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- CheckMIABench: Firm Foundations For Membership Inference Attacks on Language ModelsLLM safety and security → Membership inference attacks
- WeaveLA: Event Driven Cross-Subtask Latent Memory Weaving for Repetitive Robot ManipulationVision-language-action models → Reasoning and chain-of-thought in VLA
- Can LLMs Be CEOs? Benchmarking Strategic Resource Reallocation with Multi-Role Agent SimulationLLM agents and tool use → Financial trading and forecasting agents
- MapSatisfyBench: Benchmarking Satisfaction-Aware Map Agents through Behavior-Grounded Implicit Decision FactorsLLM agents and tool use → General LLM agent frameworks and benchmarks
- MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation EvaluationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs +1
- LADBench: A Benchmark for Logical Fault Detection in ImagesLLM reasoning → Multimodal reasoning +1
- Edit3DGS: Unified Framework for Dynamic Head Editing via 2D Instruction-Guided Diffusion and 3D Gaussian SplattingDiffusion models → 3D, point cloud and scene generation
- CIAN: Multi-Stage Framework for Event-Enriched Image Captioning via Retrieval-Augmented GenerationRetrieval-augmented generation → Multimodal RAG
- A Closer Look at Failure Modes in Temporal Understanding of Large Audio-Language ModelsLLM reasoning → Audio-language model reasoning
- Memory-Efficient Meta-Reinforcement Learning for Adaptive Safety-Critical Control in Adversarial Spacecraft Proximity OperationsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Enhancing Pathological VLMs with Cross-scale ReasoningLLM reasoning → Clinical and biomedical applications
- Attention Alignment Between Humans and Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- NarrativeWorldBench: A Frontier-Saturated Benchmark and a Latent World Model for Long-Horizon Co-Creative Audio DramaWorld models → World models for language agents
- Visuals Lie, Consistency Speaks: Disentangling Spatial Attention from Reliability in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- TerraTransfer: Learning End-to-End Driving Policies Without Expert DemonstrationsEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Model Validation of Agentic AI Systems: A POMDP-Based Framework for Belief-State, Forecast, and Policy ValidationLLM agents and tool use → Financial trading and forecasting agents
- Performance-Driven Environment Abstraction with Multi-Timescale LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Implicit vs. Explicit Prompting Strategies for LVLMs in Referential CommunicationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- MESSY STREETS: A Benchmark for Geocoding Real-World Addresses
- The Signal in the Noise: An Auditable Reliability Layer for Biomedical Text Classification
- Time Capsule of Testable Human Knowledge: 41 Years of Jeopardy! in a Single Free Local Model
- The Divergence Hypothesis: Unmasking Lexical Interference and Label Bias in Mental Health NLP
- How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModel
- Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality
- Evaluating the impact of adversarial traffic patterns on vanet communication using veins simulation
- Characterization of Thermal Systems from Noisy and Low-resolution Measurements Using Dynamic Mode Decomposition
- The Transparency Trap: How AI Disclaimers Create Overconfidence in High-Stakes Decisions
- Estimating Treatment Effects for Depression in Longitudinal Therapy Switching Settings
- Identifying Implicit Bias in LLM-based Chat AI Toward People with Intellectual Disabilities
- A Resolution of the SS--RS--GD Inequalities
- AISE-Bench: A Full-Cycle Curated Benchmark for Information Seeking on Academic Knowledge Graphs
- Generalized Neural Distributional Regression
- Predictive Modeling of High-Altitude Clear Air Turbulence in the United States: A Machine Learning Approach
- Improving Survey Participation in Low-Literacy Populations Through Value-Sensitive Conversational AI
- Horseshoe Priors for Spatial Small Area Estimation: Regular Variation, Tail Robustness, and Deep Learning
- AI for Quality Assurance in the Operating Room
- Mapping the Artificial Intelligence Divide in Africa: Infrastructure, Accessibility and Capacity
- Toward AI-Resilient Assessment in Computer Science Courses in an AI-Native World
- AI Transparency: Governance Compliance or Stakeholder Requirements?
- Can Physician Expertise Improve Machine Learning Identification of Delirium?
- Random coloured digraphs defined by a Markov logic network
- Audio-visual Contrastive Alignment for Diffusion-based Visual-conditioned Speech Enhancement
- Escape from Delusional Echo Trap: Symmetry Breaking, Stochastic Dynamics and Mathematical Mitigation Strategies for Algorithmic Sycophancy
- CDER-SME: A Cross-Device Event-RGB Micro-Expression Dataset under Multi-Level Stress Induction
- A Generalized Formalism of Auto-Regressive Decoding for Speech Processing
- FairTutor: Equity-Aware Pedagogical LLM Routing for Budget-Constrained AI Tutoring
- Video2Code: Generating Interactive Webpages from UI Videos via Action-Aware Revisit
- Interpretable and Verifiable Hardware Generation with LLM-Driven Stepwise Refinement
- SP-TransientBench: A Real-Captured Single Photon Perception Benchmark
- Engagement Intensity as a Learner-Modeling Signal for Adaptive AI Ethics Instruction
- TS-Fault: Benchmarking Time Series Forecasters Against Structural Faults
- Shrinkage priors for Bayesian Substitute Confounders
- AI Sandboxes: A Threat Model, Taxonomy, and Measurement Framework
- Evaluating Prompting-Based Defenses Against Domain-Camouflaged Injection Attacks
- A Prototypical Signature Approach for Writer-Independent Offline Signature Verification
- Toward Simultaneously Optimal Regret in U-Calibration
- Overlapping Schwarz Attention: Hierarchical Attention via Domain Decomposition
- On the Residual Scaling of Looped Transformers: Stability and Transferability
- DART: A design-aware microfluidic chip paradigm for real-time live-cell image analysis
- Sparsity Curse: Understanding RLVR Model Parameter Space from Model Merging
- Compact Geometric Representations of Hierarchies
- As You Wish: Mission Planning with Formal Verification using LLMs in Precision Agriculture
- PSyGenTAB: A Privacy-Preserving Framework for Synthetic Clinical Tabular Data Generation via Constrained Optimization
- Exponentially many initializations to avoid barren plateaus
- N(CO)2: Neural Combinatorial Optimization with Chance Constraints to Solve Stochastic Orienteering
- Architectural Bias in Face Presentation Attack Detection: A Comparative Study of Vision Transformers and Convolutional Neural Networks
- Concept Modulation Models: A Unified Framework for Identifiability and Extrapolation
- Beyond AHI: An Interpretable Causal-Discovery-Guided Framework for Sleep Recovery in Connected Health
- Neural Phase Correlation
- SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR
- MagpieTTS-LF: Inference-Time Long-Form Speech Generation Without Training on Long-Form data
- Vines-DB: An RGB image dataset for multi-species ornamental vine segmentation
- The Illusion of Improvement: Reject Inference Strategies in Credit Scoring
- Possible or Definite? A Benchmark for Evaluating Diagnostic Uncertainty Preservation in Clinical Text
- Structured Representation Learning with Locally Linear Embeddings and Adaptive Feature Fusion
- Montreal Forced Aligner and the state of speech-to-text alignment in 2026
- What Does the Weight Norm Control in Grokking? Logit-Scale Mediation under Cross-Entropy
- Modeling Doppler Shifts in Radial-Velocity Data with Deep Learning toward Earth-mass Exoplanet Detection
- Mixed-Precision Communication-Avoiding SGD for Generalized Linear Models on GPUs
- Task-Restricted Symmetries in Recurrent Weight Space
- Veriphi: Attack-Guided Neural Network Verification with Dataset-Dependent Training Methods
- A Cross-Model VLM-Judge Protocol for Single-Image 3D Mesh Quality (and Why Cheap Proxies Fall Short)
- TMR-GGNN: Credit Card Fraud Detection based on Time-Aware Multi-Relational Guided Graph Neural Network
- RegimeVGGT: Layer-Wise Spatially Preserving Redundancy Removal for Visual Geometry Grounded Transformer
- Sequential Hiring of Contingent Workers Through Learning-Based Optimization
- Pointwise is Pointless? A Multimodal Ablation Study for Precipitation Nowcasting with Graph Neural Networks
- CAOA -- Completion-Assisted Object-CAD Alignment
- Complexity and Scale in AI-Assisted Workflow Management: A Federated Learning Case Study
- A Variational Framework for LLM Generator-Regulator Games
- Measurement noise limits the advantage of nonlinear models over linear models in biomedical prediction
- P2CE: Model-Agnostic Plausible Pareto-Optimal Counterfactual Explanations
- Searching for Synergy in Shared Workspace Human-AI Collaboration
- Bayesian Nonparametric Detection of Anomalies in Multivariate Functional Data
- Deep-Learning-Based Pixelated Microwave Filter Design and Characterization using Electro-Optical Electric-Field Measurements
- Deep Learning-Driven Inverse Design of Doherty Power Amplifiers Using Pixelated Combiners and Dual-State Impedance Synthesis
- Learning-Based Decision Making for Combustion Phasing Control in Multi-Fuel CI Engines with Latent Fuel Reactivity Estimation
- MOLAR: Learning Multimodal Molecular Representations from Noisy Labels
- SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System
- RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation
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- Edge Flow: A Tractable and Predictive Continuous-Time Model for Gradient Descent at the Edge of Stability
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- ConTex: Reformulating Counterfactual Generation For Time Series Forecasting
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- The Slop Paradox: How Synthetic Standardization Erodes Clinical Uncertainty and Cross-Modal Alignment in AI-Rewritten Radiology Reports
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- Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games
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- Visored: A Controlled-Natural-Language Prover for LLM-Generated Mathematics
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- Evaluating Large Language Models Abilities for Addressee, Turn-change, and Next Speaker Prediction in Meetings
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- ReRAM-aware Model Finetuning addressing I-V Non-linearity and Retention Errors
- Perron--Frobenius Operator Matching for Generative Modeling
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- AUTOGATE: Automated Clock Gating via Toggling-Aware LLM-based RTL Rewriting
- Operator Boosting Produces Pareto-Efficient PDE Surrogates
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