Papers
Sun 31 May 2026
331 papers
- Position: Behavioral Systems Require Behavioral TestsLLM agents and tool use → General LLM agent frameworks and benchmarks
- LeafData: An Agentic System for Data MigrationLLM agents and tool use → Web, search, and research agents
- Rethinking Fairness in LLM-Based Recommender Systems: A SurveyLLM reasoning → LLM reasoning for recommendation
- Blurry Window AttentionEfficient LLM inference and serving → KV cache optimization
- The Ringelmann Effect in Multi-Agent LLM Systems: A Scaling Law for Effective Team SizeLLM agents and tool use → General LLM agent frameworks and benchmarks
- Target Updates May Stabilize Linear Q-Learning: Periodic and Soft DynamicsDeep reinforcement learning methods → RL theory and sample complexity
- A New Framework for Cybersecurity Refusals in AI AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Inference Cost Attacks for Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → Privacy and security of RAG
- CARVE: Certified Affordable Repair of Vetoed Maneuvers via Envelopes for Interactive DrivingEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- D-Judge: Disrupting Multi-Turn Jailbreaks using Semantics-Preserving Output RewritingLLM safety and security → Jailbreaking
- On the Limits of Token Reduction for Efficient Unified Vision Language TrainingMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Move the Query, Not the Cache: Characterizing Cross-Instance Latent Attention Redistribution Across GPU FabricsEfficient LLM inference and serving → KV cache optimization
- TimeSage-MT: A Multi-Turn Benchmark for Evaluating Agentic Time Series ReasoningLLM reasoning → Time series reasoning +1
- Splatshot: 3D Face Avatar Generation from a Single Unconstrained PhotoDiffusion models → 3D, point cloud and scene generation
- LLM Consortium for Software Design Refinement: A Controlled Experiment on Multi-Agent Collaboration TopologiesLLM agents and tool use → Software engineering coding agents
- Perception First: A Frontier Native-Video Model with Self-Consistency for Implicit Video Question AnsweringLLM reasoning → Multimodal reasoning
- MURMUR: An Efficient Inference System for Long-Form ASREfficient LLM inference and serving → Audio and omni-modal token compression
- SafeGen-Bench: Benchmarking Safety in Image-Conditioned Text-to-Video GenerationDiffusion models → Robustness, privacy and adversarial aspects +1
- Sparse Autoencoders for Interpretable Emotion Control in Text-to-SpeechMechanistic interpretability → Activation steering methods
- OmniOPD: Logit-Free On-Policy Distillation via Speculative VerificationKnowledge distillation → On-policy and self-distillation for LLMs +1
- Hierarchical Online Prompt Mutation with Dual-Loop Feedback for Guardrailed Evidence Document Generation: A Production-Evaluation Case StudyLLM safety and security → Safety alignment, refusal and guardrails
- Cross-lingual Self-Consistency for Multilingual Reasoning with Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Genotype-Conditioned Molecular Generation via Evidence-Grounded Multi-Objective Latent Perturbation in Diffusion ModelsDiffusion models → Flow matching, time series and science
- LEGS: Fine-Tuning Teleop-Free VLAs for Humanoid Loco-manipulation in an Embodied Gaussian Splatting WorldVision-language-action models → Tactile, force-aware and humanoid VLA
- Truthful AI Advisors: A Pre-Specified Benchmark for Large Language Model Honesty Under Preference MisalignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Self-Revising Discovery Systems for Science: A Categorical Framework for Agentic Artificial IntelligenceLLM agents and tool use → Medical and scientific domain agents
- Dive into Ambiguity: A*-Inspired Multi-Agents Commonsense Obfuscation Attack on LLM PromptsLLM reasoning → Reasoning for agents, planning and code +1
- Reliable Post-Retrieval Assembly for Agent Memory: Separating Evidence Extraction from Policy ExecutionLLM agents and tool use → Agent memory systems
- DrugClaw and DrugAudit: A Primary-Source-Grounded Agent and Authority-Aware Benchmark for Drug-Information Question AnsweringLLM agents and tool use → Medical and scientific domain agents
- Self-Healing Agentic Orchestrators for Reliable Tool-Augmented Large Language Model SystemsLLM agents and tool use → Tool learning and function calling
- Autopilot-Preserving Residual Q-Learning with HJB-Inspired Finite-Action Risk Filtering for Fixed-Wing UAV Command SupervisionDeep reinforcement learning methods → RL for robot navigation and UAV control
- UniD3: A Knowledge Graph-Enhanced RAG Framework for Drug-Disease Discovery and ReasoningRetrieval-augmented generation → Medical and biomedical RAG
- Dr. DocBench: A Comprehensive Benchmark for Expert-Level and Difficult Document ParsingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Fail-Closed Lowering of Resident KV Claims onto LLM Serving RuntimesEfficient LLM inference and serving → KV cache optimization
- Bridging Requirements and Architecture: Multi-Agent Orchestration with External Knowledge and Hierarchical MemoryLLM agents and tool use → Software engineering coding agents
- Efficient Exploration for Iterative Nash Preference OptimizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Training-free image inversion for one-step diffusion modelsDiffusion models → Image generation, text-to-image and editing
- BRo-JEPA: Learning Modular Transformations in Latent SpaceWorld models → Latent predictive world models
- Early Diagnosis of Wasted Computation in Multi-Agent LLM Systems via Failure-Aware ObservabilityLLM agents and tool use → Software engineering coding agents
- All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Diamonds in the Sky: Pareidolic Animals in CloudsDiffusion models → 3D, point cloud and scene generation
- Recognize Your Orchestrator: An Entropy Dynamics Perspective for LLM Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- LongAttnComp: Cross-Family Context Compression for Long-Context ReasoningEfficient LLM inference and serving → Efficient reasoning and agent inference
- Reducing Token Usage of State-in-Context Agents using MinificationLLM agents and tool use → Software engineering coding agents
- TukaBench: A Culturally Grounded Jailbreak Benchmark for African LanguagesLLM safety and security → Jailbreaking
- SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project WorkspacesLLM agents and tool use → Agent threats, guardrails and governance
- DeblurNVS: Geometric Latent Diffusion for Novel View Synthesis from Sparse Motion-Blurred ImagesDiffusion models → 3D, point cloud and scene generation
- SkillSmith: Co-Evolving Skills and Tools for Self-Improving Agent SystemsSynthetic data and self-improvement for LLMs → Self-evolving LLM agents
- SkillAdaptor: Self-Adapting Skills for LLM Agents from TrajectoriesLLM agents and tool use → Agent skill learning and evolution
- What Makes a Strong Model? A Unified Spectral Analysis of Knowledge Transfer over High-dimensional Linear RegressionKnowledge distillation → General knowledge distillation methods
- Beyond Visual Memory: Mechanistic Diagnostics of Latent Visual ReasoningLLM reasoning → Multimodal reasoning +1
- RLVR without Ineffective Samples: Group Prioritized Off-Policy Optimization for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- ANDES: Agent Native Data Evolving Synthesis Tool for Autonomous Instruction AlignmentLLM agents and tool use → General LLM agent frameworks and benchmarks
- DeepIPCv3: Event-Aware Multi-Modal Sensor Fusion for Sudden Pedestrian Crossing AvoidanceEnd-to-end autonomous driving → End-to-end system architecture
- Agentic Clustering: Controllable Text Taxonomies via Multi-Agent RefinementLLM agents and tool use → Web, search, and research agents
- Trust Region On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Where to Look: Can Foundation Models Reach a Target Viewpoint Through Active Exploration?LLM reasoning → Spatial and embodied reasoning
- Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to InterventionLLM reasoning → Test-time compute and efficient thinking
- Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving ChunkingLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Training-Free Imitation Learning with Closed-Form Diffusion PoliciesDiffusion models → Diffusion and flow policies for robotics +1
- HomeFlow: A Data Flywheel for Smart Home Agent Training with Verifiable SimulationLLM agents and tool use → Financial trading and forecasting agents
- Fine-Tuning Diffusion Models for Molecular Generation via Reinforcement Learning and Fast SamplingDiffusion models → Flow matching, time series and science +1
- Distilling Neuro-Symbolic Programs into 3D Multi-modal LLMsLLM reasoning → Spatial and embodied reasoning +1
- DiscourseFlip: An Oblique Discourse-Level Opinion Manipulation Attack against Black-box Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- Feature Alignment Determines Fusion Strategy: A Comparative Study of Cross-Attention and Concatenation in Multimodal LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- ImagineUAV: Aerial Vision-Language Navigation via World-Action Modeling and Kinodynamic PlanningWorld models → World models for navigation
- Can LLM Agents Sustain Long-Horizon Organizational Dynamics?LLM agents and tool use → General LLM agent frameworks and benchmarks
- Low-Resource Safety Failures Are Action Failures, Not Representation FailuresLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- "Skill Issues'': Data-Centric Optimization of Lakehouse AgentsLLM agents and tool use → Software engineering coding agents
- CA-BED: Conversation-Aware Bayesian Experimental DesignLLM reasoning → Test-time compute and efficient thinking
- Bridging Multimodal Fusion and Expert Routing via Spectral Reliability Descriptors for Robust Object DetectionMixture-of-experts → Vision mixture-of-experts
- Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMsLLM reasoning → Test-time compute and efficient thinking
- BraveGuard: From Open-World Threats to Safer Computer-Use AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future TrendsWorld models → Video-generation world models and simulators
- Deft Scheduling of Dynamic Cloud Workflows with Varying Deadlines via Mixture-of-ExpertsMixture-of-experts → Efficient MoE training and inference systems
- Expected Value Alignment for Generative Reward Modeling in Formal Mathematics VerificationLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- ASE-26: a curriculum for agentic software engineering as a disciplineLLM agents and tool use → Software engineering coding agents
- Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative PoliciesDiffusion models → Diffusion and flow policies for robotics +1
- Not All Explanations Simulate Equally: Comparing Verbalized Feature Attributions and Self-Generated RationalesSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific BranchesLLM reasoning → Reasoning benchmarks and evaluation
- Schedule-Level Shared-Prefix Reuse for LLM RL TrainingMixture-of-experts → Efficient MoE training and inference systems
- SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill RevisionLLM agents and tool use → Agent skill learning and evolution
- Spiking and Event-driven Neuromorphic Mamba Models for Efficient Speech RecognitionState-space sequence models (S4, Mamba) → Speech and audio SSMs
- HakushoBench: A Japanese Chart and Table VQA Benchmark from Governmental White PapersMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- From Reward-Free Representations to Preferences: Rethinking Offline Preference-Based Reinforcement LearningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Adaptive Dense Evidence Refinement for Video Relational Reasoning for VRR-QA ChallengeLLM reasoning → Multimodal reasoning
- Implicit Drifting Policy: One-Step Action Generation via Conditional Expert GeometryDiffusion models → Diffusion and flow policies for robotics
- Beyond Task Success: Behavioral and Representational Diagnostics for WAM and VLAWorld models → Embodied and robot world models +1
- Deep Research as Rubric for Reinforcement LearningLLM agents and tool use → Web, search, and research agents +1
- Strong Stochastic Flow MapsDiffusion models → Diffusion foundations and sampling
- MViewRouter: Internalizing Geometric Equivariance via Multi-view Alternating Attention for Combinatorial RoutingDeep reinforcement learning methods → RL for games and combinatorial optimization
- ThinkSwitch: Context Distillation with LoRA and Weight Interpolation for Specific-Purpose Reasoning TasksLLM reasoning → Test-time compute and efficient thinking
- Chameleon: Style-Content Disentangled Framework for Cross-Domain Object CompositingDiffusion models → Image generation, text-to-image and editing
- On the Generalization Gap in Self-Evolving Language Model ReasoningLLM reasoning → Test-time compute and efficient thinking +1
- Expanding Spatial and Temporal Context for Robotic Imitation Learning With Scene GraphsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Leyline: KV Cache Directives for Agentic InferenceLLM agents and tool use → Software engineering coding agents +1
- DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-ExpertsMixture-of-experts → MoE large language models
- MENTIS: What Belief Changes Under Alignment? Measuring Multi-Scale Latent Torsion in Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- 3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via CodeLLM agents and tool use → Multimodal and embodied agents
All 331
- Decoupled Residual Denoising Diffusion Models for Unified and Data Efficient Image-to-Image TranslationDiffusion models → Image generation, text-to-image and editing
- TravelEval: A Comprehensive Benchmarking Framework for Evaluating LLM-Powered Travel Planning AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Plausibility Is Not Prediction: Contrastive Evidence for LLM-Based Cellular Perturbation ReasoningLLM reasoning → Clinical and biomedical applications
- ExpWeaver: LLM Agents Learn from Experience via Latent RAGLLM reasoning → Knowledge- and tool-augmented reasoning +1
- OPD+: Rethinking the Advantage Design for On-Policy DistillationLLM reasoning → Prompting and chain-of-thought reasoning +2
- Temporally-Aligned Evaluation for Audio-Driven Talking Head GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- A Unified Benchmark for Dynamic Medical Treatment Reinforcement LearningDeep reinforcement learning methods → RL for clinical treatment and surgery
- τ0-WM: A Unified Video-Action World Model for Robotic ManipulationWorld models → Embodied and robot world models
- Revise, Don't Freeze: Sampler-Matched Training for Self-Correcting Masked Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMsDiffusion models → Discrete and text diffusion +1
- Hybrid Verified Decoding: Learning to Allocate Verification in Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Beyond Task-Agnostic: Task-Aware Grouping for Communication-Efficient Multi-Task MoE InferenceMixture-of-experts → Efficient MoE training and inference systems
- SWARD: Stochastic Window-Attention-Based Relational Distillation for Cross-Architectural Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
- Decoding in Order-Agnostic Language Models: Chain-Rule Deviation and Uniform SpreadingDiffusion models → Discrete and text diffusion
- Subliminal Learning Is Steering Vector DistillationMechanistic interpretability → Activation steering methods
- Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision SupportLLM reasoning → Chain-of-thought reasoning for driving
- Data Enrichment for Symbolic Regression Using Diffusion ModelsDiffusion models → Flow matching, time series and science
- An Open-Source Benchmark and Baseline for Multi-temporal Referring SegmentationLLM reasoning → Multimodal reasoning +1
- Make Your VLA More Robust Without More Data By Interleaving Motion PlanningVision-language-action models → 3D and spatial-aware VLA
- Lost in Delusion: Examining LLM Safety Under User Delusions and DistressLLM safety and security → Safety alignment, refusal and guardrails
- HypothesisMed: Inference-Time Answer Fusion and Structured Hypothesis-Space Reporting for Biomedical Question AnsweringLLM reasoning → Clinical and biomedical applications
- Threading Optimization for Vision-Language-Action Model Inference in Low-Cost Smart Agricultural ManipulationVision-language-action models → Efficient VLA inference and adaptation
- Reasmory: 3D Reconstruction as Explicit Memory for VLMs Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information DecompositionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Boundary-Protection W8A8 HiFloat8 Quantization for Large-Scale Text-to-Video Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- COLLAR: Cascaded Object-Level Latent Refinement for High-Fidelity Conditional GenerationDiffusion models → Image generation, text-to-image and editing
- When Parallelism Pays Off: Cohesion-Aware Task Partitioning for Multi-Agent CodingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Explainable deep reinforcement learning reveals energy-efficient control strategies for turbulent drag reductionDeep reinforcement learning methods → RL with diffusion and flow models
- FinCom: A Financial Multi-Agent Demo with Disagree-or-Commit DeliberationLLM agents and tool use → Financial trading and forecasting agents
- AIREP: A Protocol for Per-Decision Evidence in AI Runtime Governance
- Large Language Models in Mental Health: A Systematic Review of Applications, Innovations, and Ethical Challenges
- LoRA-Diffusion: Parameter-Efficient Fine-Tuning via Low-Rank Trajectory Decomposition
- Comparative Analysis of Multilingual Pre-trained Models for Nepali Automatic Speech Recognition
- Beyond the Hivemind: Escaping LLM Homogeneity via Meta-Persona Anchoring and Sequential Temperature Scaling
- Verification Without Distrust: Reframing User-Side Oversight as Routine Epistemic Governance in Everyday Human-Chatbot Interaction
- Keyword Matters: Unveiling the Energy Sensitivity of On-Device LLM Prompting
- A Formal Kinetic Theory for Zeroth-Order Newton Dynamics:Stein-Corrected Hessian Estimation and Curvature--Variance Trade-offs
- MedLoCoMo: A Long-Context Multi-Session Medical Dialogue Benchmark for Large Language Models
- Cross-Modal Hierarchical Fusion for from Multi-Sensor Ground Observation
- Multi-Agent DRL for QoS and Energy Optimization in RIS-Enabled Open-RAN Industrial 6G TN/NTN Networks
- Geometric Fairness-Aware Routing for Federated Edge Networks
- Measuring the Occupation-Level Impact of AbbVie Intelligence: AI Applicability Analysis, 2024-2025
- Interpolation between Convolution and Attention via K-Nearest Neighbors
- VigilFormer: Deformable Attention for Video Anomaly Detection with Causal Risk Inference
- Disagreement-Based Cross-Model Routing for Implicit Video Question Answering
- Active Inference for Adaptive Traffic Signal Control in Noisy Nonstationary IoT Environments
- AGORA: Can Deliberation and Governance Gates Absorb Participation Bias in Transit Planning?
- Korzhinskii-Net: Physics-Informed Neural Network for Sub-Surface Mineral Prospectivity Modelling
- Efficient Temporal Modeling for Mobile Sleep Staging via Lightweight Random Attention
- Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models
- Conformal Risk Prediction for Non-Alcoholic Fatty Liver Disease Using Gradient Boosting with Distribution-Free Coverages
- Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding
- Crayotter: Traceable Multi-Agent Workflows for Long-Form Video Editing
- NeuroAlign: Hierarchical Multimodal Fusion of Dynamic and Structural Neuroimaging for MCI Analysis
- AMN: An Adaptive Multi-Scale Fusion Network with Boundary and Uncertainty Modeling for Nuclei Segmentation
- Evaluation of ML Resource Utilization Requires Model Life Cycle Assessment
- Trait-space Monitoring for Emergent Misalignment During Supervised Finetuning
- SVHalluc: Benchmarking Speech-Vision Hallucination in Audio-Visual Large Language Models
- Sparse-View Lung Nodule Volumetry from Digitally Reconstructed Radiographs via AReT: Anatomy-Regularized TensoRF
- SegTune: Structured and Fine-Grained Control for Song Generation
- Semantic Retrieval for Product Search in E-Commerce
- CART: Context-Anchored Recurrent Transformer -- A Parameter-Efficient Architecture with Learned Stability
- ClawHub Security Signals: When VirusTotal, Static Analysis, and SkillSpector Disagree
- Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAG
- Crazyflow: An Accurate, GPU-Accelerated, Differentiable Drone Simulator in JAX
- A Minimalist Brain-Computer Musical Interface for Real-Time Emotion-Driven Sonification: System Design and Preliminary Evaluation
- Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence
- Peacemaker at ATE-IT: Automatic term extraction from Italian text for waste management data using encoder model
- Computation-Aware Kalman Filtering with Model Selection for Neural Dynamics
- Transferring Information Across Interventions in Causal Bayesian Optimization
- Before and After Temperature: A Distributional View of Creative LLM Generation
- Spatially Distributed Task-Oriented Compression for Multi-Emitter Localization and Characterization with Spectral Overlap
- UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures
- The Value of Spike Timing: A Leakage-Resistant Benchmark of SNN Design Choices for Network Intrusion Detection
- CEAR: Certified Ensemble Adversarial Robustness in DNNs
- Learning from Saturated Data: Signals Beyond Correctness for LLM Training
- Leaf Spectral Reflectance Prediction Using Multi-Head Attention Neural Networks
- On the Uncertainty Quantification Ability of Tabular Foundation Models
- Learning-based Directed Graph Abstraction of Combinatorial Spaces for Order-Preserving Search in Mixed-Combinatorial Nonlinear Optimization
- Target localization, identification and sensing using latent symmetries
- DENSER: Depth-Guided Ensemble with Staged EFA-GS Reconstruction for Soccer Novel View Synthesis
- GovAI-Pipe: A Layered AI Governance Pipeline for Citizen-Facing AI in Turkey's e-Government Gateway
- Agent Skills Should Go Beyond Text: The Case for Visual Skills
- Differentially Private Datastore Generation for Retrieval-Augmented Inference
- GPTQ-intrinsic LoRA: A Near-optimal Algorithm for Low-precision Quantization with Low-rank Adaptation
- Neural Network Compression by Approximate Differential Equivalence
- Consistent and Distinctive: LLM Benchmark Efficiency via Maximum Independent Set Prompt Selection on Similarity Graphs
- PAI-Studio: Cinematic Video Background Replacement with Camera-Aware Motion
- GuidaPA: Privacy-Preserving Chatbot for Public Administration via Federated Learning
- Turning Back Without Forgetting: Selective Backward Refinement for Parameter-Efficient Continual Learning
- Beyond Access: Guided LLM Scaffolding for Independent Learning in Undergraduate Statistics
- From Performance to Representational Adequacy: A Representational Bootstrap Framework for Adaptive Biological Systems
- ActMVS: Active Scene Reconstruction with Monocular Multi-View Stereo
- Needles at Scale: LLM-Assisted Target Selection for Windows Vulnerability Research
- AlbedoEdit: Unified Instance-Level Video Editing with Albedo Guidance
- FlowTime: Towards Continuous Generative Watch Time Prediction via Flow-based Personalized Priors
- ChartArena: Benchmarking Chart Parsing across Languages, Scenarios, and Formats
- FlowSDR: Sufficient Dimension Reduction via Conditional Normalizing Flows
- Towards Optimal Robustness in Learning-Augmented Paging
- Sample Complexity and Decision-Theoretic Guarantees for Bayesian Model Averaging over Decision Trees with Catalan-Exponential Priors
- FreqLite: A Lightweight Frequency-Decomposed Linear Model with Adaptive Reversible Normalization for Robust Long-Term Time-Series Forecasting
- Benchmarking Local LLMs for Natural-Language-to-SQL Querying in Biopharmaceutical Manufacturing: An Empirical Benchmark on Consumer-Grade Hardware
- HOLA: Holistic Multi-Modal Alignment for Open-Set 3D Recognition
- Conditioned free-energy density of proteins using unbalanced solutions to constraint satisfaction problems
- SEArch: Optimistic Policy Selection Between Scene Noise and Drift for UAV Radar Search
- Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks
- DiffuSent: Towards a Unified Diffusion Framework for Aspect-Based Sentiment Analysis
- Science Earth: Towards A Planet-Scale Operating System for AI-Native Scientific Discovery
- PSG-Nav: Probabilistic Scene Graph Navigation via Multiverse Decision Making
- A Communication-Centric 6G-LLM Architecture for Scalable Tactical Autonomous Defense Vehicle Networks
- FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
- When Hard Negatives Hurt: Bridging the Generative-Discriminative Gap in Hard Negative Synthesis for Retrieval
- Structure and Scale in Simplicial Sequence Modelling
- Med-HEAL: Analyzing and Mitigating Hallucinations in Medical LLMs with Hallucination-Aware In-Context Learning
- ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection
- Challenger at MultiPRIDE: Is It Hate Speech or Reclaimed?
- Don't Read Everything: A Curvature-Conditioned Query for Linear Attention
- ResNet-34 with Lightweight Decoder for Accurate and Efficient Segmentation of Fetal Brain MRI
- Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework
- Feature to Dynamics: Feature-space to Autoregression strategy for Zero-shot Time Series Forecasting
- BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution
- Knowledge-Intensive Video Generation
- AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks
- KG-FairDiff: Knowledge Graph-Guided Prompt Refinement for Demographically Fair Text-to-Image Generation
- Event-Based Vision in Space: Applications, Trends, and Future Directions
- Worlds Within Words: Translating Culture in Ancient Chinese Texts with Multi-Agent Coordination
- GLIDE: Graph-guided Leap Inference for Diffusion Estimation of Spatio-Temporal Point Processes
- Exploiting In-Sensor Computing for Energy-Efficient Earth Observation
- Emergent Ordinal Geometry in Transformers Trained on Local Comparisons
- PALTO: Physics-Informed Active Learning for Tri-Gate FinFET Design Optimization for Vertical Power Delivery
- IndoBias: A Dual Track Culturally Grounded Benchmark for LLMs Bias Evaluation in Indonesian Languages
- Beyond Sinusoids: A Morlet Wavelet Framework for Transformer Positional Encoding
- Statistical Inference on Gradient Flows
- Distribution-free changepoint localization after sequential change detection
- Understanding LLM Behavior in Multi-Target Cross-Lingual Summarization
- SIRIUS-SQL: Anchoring Multi-Candidate Text-to-SQL in Execution Feedback
- Variation Spaces for Encoder--Decoder Neural Operators: Approximation and Generalization
- Functional Clustering of Survival Data via Smoothed Log-Hazard Trajectories: A Risk-Dynamics Perspective
- Brain-Atlas-Guided Generative Counterfactual Attention for Explainable Cognitive Decline Diagnosis Using Multimodal Connectomes
- Differing Roles of Leisure and Productivity in GDP - A Machine Learning based comparative analysis of Germany and USA
- Application of Algorithms in Energy-Efficient Design Platforms for Green Building
- DAGGER: Gradient-Free Construction of Transiently Amplifying Networks under Hard Connectivity Constraints
- Advanced Mathematics Learning Behavior Prediction and Academic Early Warning Model Based on Multimodal Data Analysis
- Connecting the Dots: Benchmarking Reflective Memory in Long-Horizon Dialogue
- Hybrid Imbalanced Regression Through Unified Data-Level and Algorithm-Level Balancing
- Analysis of Ethnic Disparities in Autism Spectrum Disorder among Toddlers
- Riemannian Optimization for Hadamard Products of Low-Rank Matrices
- TECCI: Tricky Edits of Collected and Curated Images
- Implicit Geographic Inference in LLM Medical Triage: Language-Driven Disparities in Emergency Recommendations
- The Shape of Wisdom: Decision Trajectories in Language Models
- Linear Strategic Classification with Endogenous Improvements
- PairedGTA: Generating Driving Datasets for Controlled Photometric Shift Analysis
- The Case for Model Science: Verify, Explore, Steer, Refine
- pcbGPT: Automatic PCB Schematic Synthesis from Natural Language Requirements
- Topological Ignorability for Structural Causal Effects Beyond Means
- Physics-Informed Deep Learning for Entropy Prediction in Heterogeneous Systems: Thermodynamic and Information-Theoretic Case Studies
- Temporal Motif Signatures for Temporal Graph Neural Networks
- Revisiting Neural Processes via Fourier Transform and Volterra Series
- AI From the Margins (AIM): Rethinking Participatory AI Design Through the Lived Experience of Minoritized Communities
- Fairness in two-player zero-sum games with bandit feedback
- HiTokSR: A Coarse-to-Fine Tokenizer with Hierarchical Codebooks for High-Fidelity Real-World Image Super-Resolution
- When Data Is Scarce: Scaling Sparse Language Models with Repeated Training
- CoSTL: Comprehensive Spatial-Temporal Representation Learning for Moment Retrieval and Highlight Detection
- memorywire: A Vendor-Neutral Wire Format for Agent Memory Operations
- From Outliers to Errors: Auditing Pali-to-English LLM Translations with Multi-Reference Adjudication
- Context-aware child-directed speech detection from long-form recordings
- Local MixVR: Breaking the Communication-Sample Dependence in Distributed Learning
- STARFISH: faST Accuracy Recovery in pruned networks From Internal State Healing
- A Per-Component Diagnostic Protocol for Neural HJB-PIDE Solvers under Control-Dependent L'evy Jumps
- Diagnosing LLM Arbitration Behavior over Pre-evidence Epistemic States in RAG-based Fact-Checking
- Rank-Aware Quantile Activation for Motion-Robust Crop Segmentation in UAV Imagery
- HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces
- R^3: Composed Video Retrieval via Reasoning-Guided Recalling and Re-ranking
- LeAP: Learnable Adaptive Permutation for Feature Selection in Heterogeneous and Sparse Recommender Systems
- Accelerating physics-informed neural networks for full waveform inversion using a hybrid quantum-classical finite-basis architecture
- Digging Up Citations: FOSSIL, a Dataset and Workflow for Reference Extraction in Law and the Humanities
- How (and when) can you fit examples to logic-based hypothesis classes over infinite structures?
- Temporal Evidence Routing with Structured Visual Evidence for TimeLogicQA
- Soft-NBCE: Entropy-Weighted Chunk Fusion for Long-Context
- MiCU: End-to-End Smart Home Command Understanding with Large Language Model
- Dual-Route Top-K Retrieval with 1v1 VLM Reranking for the CoVR-R
- CAREAgent: Clinical Agent with Structured Reasoning and Tool-Integrated for Order Generation
- A Fiber Criterion for Representation Identifiability in Supervised Learning
- Measuring the Symmetry--Data Exchange Rate
- Decision-Focused On-Policy Learning for Contextual Linear Optimization with Partial Feedback
- Non-Vacuous Certification of Transport MCMC via Oscillation-Controlled Normalizing Flows
- When Is 0.1% Enough? Analyzing the Combined Effects of Dimensionality Reduction and Quantization on Text Embedding Compression
- Test-Time Training for Zero-Resource Dense Retrieval Reranking
- A Multiscale Network with Supervised Contrastive Learning for Real-Time Facial Emotion Recognition
- Before the Model Learns the Bug:Fuzzing RLVR Verifiers
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- AnyEdit++: Adaptive Long-Form Knowledge Editing via Bayesian Surprise
- Interaction-Limited Safe Continuous-Time RL for Dynamical Medical Treatment
- TextFake: Benchmarking AI-Generated Image Detection on Text-Rich Images
- Beyond Captions: Context-Grounded Reconstruction for Biomedical Multimodal Continued Pretraining
- Child-directed speech facilitates production, not comprehension, in BabyLMs
- Ask4VG: Risk-Aware Question Selection for Reducing Prior-Driven Answers in Medical VQA
- A Finite-Calibration Regime Map for LLM Judge Panels
- TriLens: Per-Layer Logit-Lens Entropy for White-Box Hallucination Detection
- Data Collection for Training Quality-Control AI in Carpet Manufacturing
- ProductWebGen: Benchmarking Multimodal Product Webpage Generation
- Learning Neural Deformation Representation for 4D Dynamic Shape Generation
- Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation
- PolySpeech-100: A Large-Scale Benchmark for Speech Understanding Across 100+ Languages and Dialects
- AI-IoT-Robotics Integration: Survey of Frameworks, Emerging Trends, and the Path Toward Connected Robotics
- Cross-Axis Feature Fusion with Joint-Wise Motion Difference Prediction for Text-Based 3D Human Motion Editing
- Can AI Review Improve Paper Drafting? An Empirical Study on 20 Computer Architecture Submissions
- Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach
- FVSpec: Real-World Property-Based Tests as Lean Challenges
- Automated Erythrocyte Detection and Tracking for Retinal Blood Flow Quantification in Erythrocyte-Mediated Angiography
- Theoretical Analysis of Engression and Reverse Markov Engression
- Trust Functions: Near-Lossless Weak-to-Strong Generalization by Learning When to Trust the Weak Teacher
- A Registry-Bound LLM Pipeline for Evidence-Grounded Trait Extraction across Tropical Plants, Aquatic Species, and Exotic Pets
- Profiling Privacy Preservation Against Gradient Inversion Attacks in Tabular Federated Learning
- Practical and Optimal Algorithm for Linear Contextual Bandits with Rare Parameter Updates
- Robust Asynchronous Planning via Auto-Formalization
- UME: A Unified Meta-Generalization Framework for Cross-Domain ETA
- Prospect-Theory Behavior from Bellman Optimality in MDPs with Catastrophic States
- MedSyn2: Flexible Control of 3D CT Generation via Text and Semantically-Defined Segmentation Prompts
- SS-ZKR: Spatial-Semantic Zero-Knowledge Routing for Privacy-Preserving Multi-Agent Collaboration
- Towards Regret Guarantees for One-Step Lookahead Bayesian Optimization
- CryoProt: A Protein Pretraining Framework with Cross-Box Interactions on Cryo-EM Density Maps
- COLLIE: Guiding Skill Discovery in Semantically Coherent Latent Space
- Silent Failures in Federated Personalization of Foundation Models
- Lodestar: An Online-Learning LLM Inference Router
- PRISM: Gauge-Invariant Tangent-Space Differentially Private LoRA
- Machine Learning Surrogate Modeling for Homogenization of Hyperelastic Materials with Boolean Microstructures
- Cellular Sheaf Neural Operators for Structure-Preserving Surrogate Modeling of Constrained PDEs
- One Channel to Rule Them All: Rethinking Input Representation for Visual Place Recognition
- Relational Intervention During Functional Collapse in Large Language Models: A Lexical-Statistical Ablation and a Structure x Register Factorial
- Efficient Synthetic Network Generation via Latent Embedding Reconstruction