Papers
Fri 3 Apr 2026
381 papers
- OmniGUI: Benchmarking GUI Agents in Omni-Modal Smartphone EnvironmentsLLM agents and tool use → GUI and mobile agents
- Agent4POI: Agentic Context-Conditioned Affordance Reasoning for Multimodal Point-of-Interest RecommendationLLM reasoning → Multimodal reasoning +1
- ToolWeave: Structured Synthesis of Complex Multi-Turn Tool-Calling DialoguesLLM agents and tool use → Tool learning and function calling
- BoostTaxo: Zero-Shot Taxonomy Induction via Boosting-Style Agentic Reasoning and Constraint-Aware CalibrationLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Correct Answers from Sound Reasoning: Verifiable Process Supervision for Language ModelsLLM reasoning → Reinforcement learning for reasoning
- TimelineReasoner: Advancing Timeline Summarization with Large Reasoning ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- Bridging the Missing-Modality Gap: Improving Text-Only Calibration of Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- The Impact of LLM Self-Consistency and Reasoning Effort on Automated Scoring Accuracy and CostLLM reasoning → Mathematical reasoning
- Marginal-Contribution Policy Gradients under Filtered Feedback for Multi-Agent LLMsLLM agents and tool use → Reinforcement learning for LLM agents
- Parameter Efficiency Is Not Memory Efficiency: Rethinking Fine-Tuning for On-Device LLM AdaptationLLM reasoning → Test-time compute and efficient thinking
- Measuring Representation Robustness in Large Language Models for GeometryLLM reasoning → Spatial and embodied reasoning
- The Spectral Geometry of Thought: Phase Transitions, Instruction Reversal, Token-Level Dynamics, and Perfect Correctness Prediction in How Transformers ReasonLLM reasoning → Reasoning benchmarks and evaluation
- MixAtlas: Uncertainty-aware Data Mixture Optimization for Multimodal LLM MidtrainingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Decision-Theoretic Safety Assessment of Persona-Driven Multi-Agent Systems in O-RANLLM agents and tool use → Social simulation and multi-agent debate
- HCP-MAD:Heterogeneous Consensus-Progressive Reasoning for Efficient Multi-Agent DebateLLM agents and tool use → Social simulation and multi-agent debate
- NetAgentBench: A State-Centric Benchmark for Evaluating Agentic Network ConfigurationLLM agents and tool use → Software engineering coding agents
- Inside the Scaffold: A Source-Code Taxonomy of Coding Agent ArchitecturesLLM agents and tool use → Software engineering coding agents
- BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Training DataLLM reasoning → Clinical and biomedical applications
- Sim2Real-AD: A Modular Sim-to-Real Framework for Deploying VLM-Guided Reinforcement Learning in Real-World Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- VisionClaw: Always-On AI Agents through Smart GlassesLLM agents and tool use → Multimodal and embodied agents
- Large Language Models Align with the Human Brain during Creative ThinkingLLM reasoning → Reasoning benchmarks and evaluation
- The Tool Illusion: Rethinking Tool Use in Web AgentsLLM agents and tool use → Web, search, and research agents
- Physics-Constrained Adaptive Flow Matching for Climate DownscalingDiffusion models → Flow matching, time series and science
- Lightweight Query Routing for Adaptive RAG: A Baseline Study on RAGRouter-BenchRetrieval-augmented generation → RAG pipeline design and evaluation
- ExpressEdit: Fast Editing of Stylized Facial Expressions with Diffusion Models in PhotoshopDiffusion models → Image generation, text-to-image and editing
- MetaSAEs: Joint Training with a Decomposability Penalty Produces More Atomic Sparse Autoencoder LatentsMechanistic interpretability → Sparse autoencoder training and evaluation
- Scaling Multi-agent Systems: A Smart Middleware for Improving Agent InteractionsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Inference-Path Optimization via Circuit Duplication in Frozen Visual Transformers for Marine Species ClassificationMechanistic interpretability → Interpreting vision and multimodal models
- Beauty in the Eye of AI: Aligning LLMs and Vision Models with Human Aesthetics in Network VisualizationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- KiToke: Kernel-based Interval-aware Token Compression for Video Large Language ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
- Generative AI for material design: A mechanics perspective from burgers to matterDiffusion models → Flow matching, time series and science
- Diffusion Policy with Bayesian Expert Selection for Active Multi-Target TrackingDiffusion models → Diffusion and flow policies for robotics
- Can LLMs Reason About Attention? Towards Zero-Shot Analysis of Multimodal Classroom BehaviorLLM reasoning → Multimodal reasoning
- Banana100: Breaking NR-IQA Metrics by 100 Iterative Image Replications with Nano Banana ProLLM agents and tool use → Multimodal and embodied agents
- TABQAWORLD: Optimizing Multimodal Reasoning for Multi-Turn Table Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- Learning Families of Fixed-Wing Aircraft Control Policies with Hypernetwork-Conditioned Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- CresOWLve: Benchmarking Creative Problem-Solving Over Real-World KnowledgeLLM reasoning → Reasoning benchmarks and evaluation
- ABTest: Behavior-Driven Testing for AI Coding AgentsLLM agents and tool use → Software engineering coding agents
- NeuralLVC: Neural Lossless Video Compression via Masked Diffusion with Temporal ConditioningDiffusion models → Diffusion for compression and wireless
- Mixture-of-Experts in Remote Sensing: A SurveyMixture-of-experts → Vision mixture-of-experts
- CoME-VL: Scaling Complementary Multi-Encoder Vision-Language LearningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- VOSR: A Vision-Only Generative Model for Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- Hierarchical Planning with Latent World ModelsWorld models → Latent predictive world models
- Coupled Control, Structured Memory, and Verifiable Action in Agentic AI (SCRAT -- Stochastic Control with Retrieval and Auditable Trajectories): A Comparative Perspective from Squirrel Locomotion and Scatter-HoardingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Learning the Signature of Memorization in Autoregressive Language ModelsLLM safety and security → Membership inference attacks
- From Industry Claims to Empirical Reality: An Empirical Study of Code Review Agents in Pull RequestsLLM agents and tool use → Software engineering coding agents
- Reliability Gated Multi-Teacher Distillation for Low Resource Abstractive SummarizationKnowledge distillation → Knowledge distillation for LLMs
- The Compression Gap: Why Discrete Tokenization Limits Vision-Language-Action Model ScalingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- SpatialVAM:Spatial-Aware Multi-View Video Diffusion as a Data-Efficient Robot PolicyDiffusion models → Diffusion and flow policies for robotics
- Understanding the Role of Hallucination in Reinforcement Post-Training of Multimodal Reasoning ModelsLLM reasoning → Hallucination detection and mitigation +1
- Beyond the Parameters: A Technical Survey of Contextual Enrichment in Large Language Models: From In-Context Prompting to Causal Retrieval-Augmented GenerationLLM reasoning → Reasoning benchmarks and evaluation +1
- Detecting and Correcting Reference Hallucinations in Commercial LLMs and Deep Research AgentsLLM agents and tool use → Web, search, and research agents
- Chart-RL: Policy Optimization Reinforcement Learning for Enhanced Visual Reasoning in Chart Question Answering with Vision Language ModelsLLM reasoning → Multimodal reasoning +1
- InCoder-32B-Thinking: Industrial Code World Model for ThinkingLLM reasoning → Reasoning for agents, planning and code
- TokenDance: Scaling Multi-Agent LLM Serving via Collective KV Cache SharingEfficient LLM inference and serving → Efficient reasoning and agent inference
- SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image SegmentationDiffusion models → Medical imaging and segmentation
- Self-Distilled RLVRKnowledge distillation → On-policy and self-distillation for LLMs
- An Independent Safety Evaluation of Kimi K2.5LLM agents and tool use → Agent threats, guardrails and governance +1
- Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video GenerationEfficient LLM inference and serving → Fast autoregressive visual generation
- Revealing Physical-World Semantic Vulnerabilities: Universal Adversarial Patch for Infrared Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Suppression Is Not Forgetting: Residual Recoverability in Visual Concept Unlearning for VLMsLLM safety and security → Machine unlearning
- Multi-Aspect Knowledge Distillation for Language Model with Low-rank FactorizationKnowledge distillation → Knowledge distillation for LLMs
- Co-Evolution of Policy and Internal Reward for Language AgentsLLM agents and tool use → Reinforcement learning for LLM agents +1
- SkVM: Revisiting Language VM for Skills across Heterogenous LLMs and HarnessesLLM agents and tool use → Agent skill learning and evolution
- Supply-Chain Poisoning Attacks Against LLM Coding Agent Skill EcosystemsLLM agents and tool use → Agent threats, guardrails and governance
- Speaker-Reasoner: Scaling Interaction Turns and Reasoning Patterns for Timestamped Speaker-Attributed ASRLLM reasoning → Audio-language model reasoning
- MI-Pruner: Crossmodal Mutual Information-guided Token Pruner for Efficient MLLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- How Your Credentials Are Leaked by LLM Agent Skills: An Empirical StudyLLM agents and tool use → Agent threats, guardrails and governance
- Querying Structured Data Through Natural Language Using Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- JoyAI-LLM Flash: Advancing Mid-Scale LLMs with Token EfficiencyMixture-of-experts → MoE in reinforcement learning and robotics
- QVAD: A Question-Centric Agentic Framework for Efficient and Training-Free Video Anomaly DetectionLLM agents and tool use → Multimodal and embodied agents
- ARM: Advantage Reward Modeling for Long-Horizon ManipulationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Beyond Isolated Tasks: A Framework for Evaluating Coding Agents on Sequential Software EvolutionLLM agents and tool use → Software engineering coding agents
- Behavior-Constrained Reinforcement Learning with Receding-Horizon Credit Assignment for High-Performance ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- Agentic-MME: What Agentic Capability Really Brings to Multimodal Intelligence?Multimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Generating DDPM-based Samples from Tilted DistributionsDiffusion models → Diffusion foundations and sampling
- A Flow Matching Framework for Soft-Robot Inverse DynamicsDiffusion models → Diffusion and flow policies for robotics
- R2-Write: Reflection and Revision for Open-Ended Writing with Deep ReasoningLLM reasoning → Reinforcement learning for reasoning
- Mitigating Reward Hacking in RLHF via Advantage Sign RobustnessLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- Prompt Compression in the Wild: Measuring Latency, Rate Adherence, and Quality for Faster LLM InferenceRetrieval-augmented generation → Generation and context integration +1
- Not All Frames Deserve Full Computation: Accelerating Autoregressive Video Generation via Selective Computation and Predictive ExtrapolationDiffusion models → Video generation
- NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-NeuronsLLM reasoning → Reasoning benchmarks and evaluation
- InfoSeeker: A Scalable Hierarchical Parallel Agent Framework for Web Information SeekingLLM agents and tool use → Web, search, and research agents
- FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Visual Prototype Conditioned Focal Region Generation for UAV-Based Object DetectionDiffusion models → Image generation, text-to-image and editing
- Open-Loop Planning, Closed-Loop Verification: Speculative Verification for VLAVision-language-action models → Reasoning and chain-of-thought in VLA
- Collaborative Multi-Mode Pruning for Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- LogicPoison: Logical Attacks on Graph Retrieval-Augmented GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +1
- AgentHazard: A Benchmark for Evaluating Harmful Behavior in Computer-Use AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Council Mode: A Heterogeneous Multi-Agent Consensus Framework for Reducing LLM Hallucination and BiasLLM agents and tool use → Medical and scientific domain agents +1
- Learning Task-Invariant Properties via Dreamer: Enabling Efficient Policy Transfer for Quadruped RobotsWorld models → Humanoid and legged locomotion world models
- Toward an Artificial General Teacher: Procedural Geometry Data Generation and Visual Grounding with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- SPG: Sparse-Projected Guides with Sparse Autoencoders for Zero-Shot Anomaly DetectionMechanistic interpretability → Sparse autoencoder training and evaluation
- Token Warping Helps MLLMs Look from Nearby ViewpointsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Multi-Turn Reinforcement Learning for Tool-Calling Agents with Iterative Reward CalibrationLLM agents and tool use → Reinforcement learning for LLM agents +1
- Few-Shot Distribution-Aligned Flow Matching for Data Synthesis in Medical Image SegmentationDiffusion models → Medical imaging and segmentation
- High-resolution probabilistic estimation of three-dimensional regional ocean dynamics from sparse surface observationsDiffusion models → Flow matching, time series and science
- Towards Secure Agent Skills: Architecture, Threat Taxonomy, and Security AnalysisLLM agents and tool use → Agent threats, guardrails and governance
- ESL-Bench: An Event-Driven Synthetic Longitudinal Benchmark for Health AgentsLLM agents and tool use → Medical and scientific domain agents
- NavCrafter: Exploring 3D Scenes from a Single ImageDiffusion models → 3D, point cloud and scene generation
All 381
- Student-in-the-Loop Chain-of-Thought Distillation via Generation-Time SelectionLLM reasoning → Prompting and chain-of-thought reasoning +1
- MMPhysVideo: Physically Plausible Video Generation Through Joint RGB-Perception ModelingDiffusion models → Video generation
- QAPruner: Quantization-Aware Vision Token Pruning for Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +2
- Learning Structured Robot Policies from Vision-Language Models via Synthetic Neuro-Symbolic SupervisionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Rubrics to Tokens: Bridging Response-level Rubrics and Token-level Rewards in Instruction Following TasksLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- CharTool: Tool-Integrated Visual Reasoning for Chart UnderstandingLLM reasoning → Multimodal reasoning
- LumaFlux: Lifting 8-Bit Worlds to HDR Reality with Physically-Guided Diffusion TransformersDiffusion models → Inverse problems and image restoration
- EnsemHalDet: Robust VLM Hallucination Detection via Ensemble of Internal State DetectorsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- DynFOA: Generating First-Order Ambisonics with Conditional Diffusion for Dynamic and Acoustically Complex 360-Degree VideosDiffusion models → Audio, speech and music
- A Unified Perspective on Adversarial Membership Manipulation in Vision ModelsLLM safety and security → Membership inference attacks
- Improving Role Consistency in Multi-Agent Collaboration via Quantitative Role ClarityLLM agents and tool use → General LLM agent frameworks and benchmarks
- SentinelAgent: Intent-Verified Delegation Chains for Securing Federal Multi-Agent AI SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Random Is Hard to Beat: Active Selection in online DPO with Modern LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Understanding Latent Diffusability via Fisher GeometryDiffusion models → Diffusion foundations and sampling
- Aligning Progress and Feasibility: A Neuro-Symbolic Dual Memory Framework for Long-Horizon LLM AgentsLLM agents and tool use → Agent memory systems
- DeltaLogic: Minimal Premise Edits Reveal Belief-Revision Failures in Logical Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Data-Driven Synthesis of Probabilistic Controlled Invariant Sets for Linear MDPsDeep reinforcement learning methods → Safe and constrained RL
- GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement LearningLLM agents and tool use → Software engineering coding agents
- Generative Frontiers: Why Evaluation Matters for Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- FluxMoE: Decoupling Expert Residency for High-Performance MoE ServingMixture-of-experts → Efficient MoE training and inference systems
- ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous DrivingWorld models → World models for autonomous driving +2
- V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative ViewsLLM reasoning → Chain-of-thought reasoning for driving +3
- Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky HierarchyLLM reasoning → Reasoning benchmarks and evaluation
- Trivial Vocabulary Bans Improve LLM Reasoning More Than Deep Linguistic ConstraintsLLM reasoning → Reasoning benchmarks and evaluation
- DocShield: Towards AI Document Safety via Evidence-Grounded Agentic ReasoningLLM agents and tool use → Multimodal and embodied agents
- Adaptive Semantic Communication for Wireless Image Transmission Leveraging Mixture-of-Experts MechanismMixture-of-experts → Vision mixture-of-experts
- Efficient3D: A Unified Framework for Adaptive and Debiased Token Reduction in 3D MLLMsLLM reasoning → Spatial and embodied reasoning +2
- MatClaw: An Autonomous Code-First LLM Agent for End-to-End Materials ExplorationLLM agents and tool use → Medical and scientific domain agents
- Beyond Semantic Manipulation: Token-Space Attacks on Reward ModelsLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- Finding Belief Geometries with Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- Human Thinking under Plural LLM Assistance: Mathematical Problem Solving and Open-Ended WritingLLM reasoning → Reasoning benchmarks and evaluation
- Do Agent Societies Develop Intellectual Elites? The Hidden Power Laws of Collective Cognition in LLM Multi-Agent SystemsLLM agents and tool use → Social simulation and multi-agent debate
- Redirected, Not Removed: Task-Dependent Stereotyping Reveals the Limits of LLM AlignmentsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Too Polite to Disagree: Understanding Sycophancy Propagation in Multi-Agent SystemsLLM agents and tool use → Social simulation and multi-agent debate
- Let's Have a Conversation: Designing and Evaluating LLM Agents for Interactive OptimizationLLM agents and tool use → General LLM agent frameworks and benchmarks
- AgentSZZ: Teaching the LLM Agent to Play Detective with Bug-Inducing CommitsLLM agents and tool use → Software engineering coding agents
- Generalization Limits of Reinforcement Learning AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Overcoming the "Impracticality" of RAG: Proposing a Real-World Benchmark and Multi-Dimensional Diagnostic FrameworkRetrieval-augmented generation → RAG pipeline design and evaluation
- AXELRAM: Quantize Once, Never DequantizeEfficient LLM inference and serving → KV cache quantization
- Poison Once, Exploit Forever: Environment-Injected Memory Poisoning Attacks on Web AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Reinforcement Learning-based Semi-supervised Knowledge Distillation with LLM-as-a-JudgeLLM reasoning → Reinforcement learning for reasoning +1
- AutoVerifier: An Agentic Automated Verification Framework Using Large Language ModelsLLM agents and tool use → Web, search, and research agents
- Steerable but Not Decodable: Function Vectors Operate Beyond the Logit LensMechanistic interpretability → Activation steering methods
- Moondream Segmentation: From Words to MasksMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Confidence Calibration in Large Language Models
- Beyond Compliance: How AI Could Help Creative Writers by Refusing Them
- Can AI be a moral victim? The role of moral patiency and ownership perceptions in ethical judgments of using AI-generated content
- Policy-Governed LLM Routing with Intent Matching for Instrument Laboratories
- A Scoping Review of LLM-as-a-Judge in Healthcare and the MedJUDGE Framework
- Sociodemographic Biases in Educational Counselling by Large Language Models
- Learning Without Adversarial Training: A Physics-Informed Neural Network for Secure Power System State Estimation under False Data Injection Attacks
- Stochastic KV Routing: Enabling Adaptive Depth-Wise Cache Sharing
- BiTA: Bidirectional Gated Recurrent Unit-Transformer Aggregator in a Temporal Graph Network Framework for Alert Prediction in Computer Networks
- A General Framework for Generative Self-supervised Learning in Non-invasive Estimation of Physiological Parameters Using Photoplethysmography
- KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning
- The Spectral Lifecycle of Transformer Training: Transient Compression Waves, Persistent Spectral Gradients, and the Q/K--V Asymmetry
- An Intelligent Fault Diagnosis Method for General Aviation Aircraft Based on Multi-Fidelity Digital Twin and FMEA Knowledge Enhancement
- Shifting the Gradient: Understanding How Defensive Training Methods Protect Language Model Integrity
- Injecting Structured Biomedical Knowledge into Language Models: Continual Pretraining vs. GraphRAG
- Breaking Validity-Induced Boundaries to Expand Algorithm Search Space: A Two-Stage AST-Based Operator for LLM-Driven Automated Heuristic Evolution
- Disentangled Dual-Branch Graph Learning for Conversational Emotion Recognition
- Bridging scalp and intracranial EEG in BCI via pretrained neural representations and geometric constraint embedding
- Retina gap junctions support the robust perception by warping neural representational geometries along the visual hierarchy
- PolyBench: Benchmarking LLM Forecasting and Trading Capabilities on Live Prediction Market Data
- The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure
- R2E-VID: Two-Stage Robust Routing via Temporal Gating for Elastic Edge-Cloud Video Inference
- Isomorphic Functionalities between Ant Colony and Ensemble Learning: Part III -- Gradient Descent, Neural Plasticity, and the Emergence of Deep Intelligence
- Blind Refusal: Language Models Refuse to Help Users Evade Unjust, Absurd, and Illegitimate Rules
- PromptEvolver: Prompt Inversion through Evolutionary Optimization in Natural-Language Space
- Learning Nonlinear Regime Transitions via Semi-Parametric State-Space Models
- Identification and Inference in Nonlinear Dynamic Network Models
- CalM: A Self-Supervised Foundation Model for Population Dynamics in Calcium Imaging Data
- The Planetary Cost of AI Acceleration, Part II: The 10th Planetary Boundary and the 6.5-Year Countdown
- Generative AI for Video Trailer Synthesis: From Extractive Heuristics to Autoregressive Creativity
- ActionNex: A Virtual Outage Manager for Cloud Computing
- Multimodal Urban Tree Detection from Satellite and Street-Level Imagery via Annotation-Efficient Deep Learning Strategies
- Nonparametric Regression Discontinuity Designs with Survival Outcomes
- The Augmentation Trap: AI Productivity and the Cost of Cognitive Offloading
- Resource-Conscious Modeling for Next- Day Discharge Prediction Using Clinical Notes
- Beyond Predefined Schemas: TRACE-KG for Context-Enriched Knowledge Graph Generation
- Cultural Authenticity: Comparing LLM Cultural Representations to Native Human Expectations
- RAIN-FIT: Learning of Fitting Surfaces and Noise Distribution from Large Data Sets
- Improving Feasibility via Fast Autoencoder-Based Projections
- Contextual Control without Memory Growth in a Context-Switching Task
- Investigating Data Interventions for Subgroup Fairness: An ICU Case Study
- Fine-tuning DeepSeek-OCR-2 for Molecular Structure Recognition
- Evolutionary Search for Automated Design of Uncertainty Quantification Methods
- Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution
- Recurrent Quantum Feature Maps for Reservoir Computing
- Super Agents and Confounders: Influence of surrounding agents on vehicle trajectory prediction
- SpectralSplat: Appearance-Disentangled Feed-Forward Gaussian Splatting for Driving Scenes
- Earth Embeddings Reveal Diverse Urban Signals from Space
- RDFace: A Benchmark Dataset for Rare Disease Facial Image Analysis under Extreme Data Scarcity and Phenotype-Aware Synthetic Generation
- Neural Operators for Multi-Task Control and Adaptation
- Measuring LLM Trust Allocation Across Conflicting Software Artifacts
- Olmo Hybrid: From Theory to Practice and Back
- Agile Story-Point Estimation: Is RAG a Better Way to Go?
- Adversarial Robustness of Deep State Space Models for Forecasting
- Automated Segmentation and Tracking of Group Housed Pigs Using Foundation Models
- AEGIS: Scaling Long-Sequence Homomorphic Encrypted Transformer Inference via Hybrid Parallelism on Multi-GPU Systems
- Towards a theory of morphology-driven marking in the lexicon: The case of the state
- Zero-Shot Quantization via Weight-Space Arithmetic
- Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization
- Align Then Adapt: Label-Efficient Adapter Learning for Asymmetric Dense Retrieval
- DRIFT: Deep Restoration, ISP Fusion, and Tone-mapping
- Are Arabic Benchmarks Reliable? QIMMA's Quality-First Approach to LLM Evaluation
- SDVDiag: Using Context-Aware Causality Mining for the Diagnosis of Connected Vehicle Functions
- Scalable Variational Bayesian Fine-Tuning of LLMs via Orthogonalized Low-Rank Adapters
- Hume's Representational Conditions for Causal Judgment: What Bayesian Formalization Abstracted Away
- Noise Steering for Controlled Text Generation: Improving Diversity and Reading-Level Fidelity in Arabic Educational Story Generation
- ViBA: Implicit Bundle Adjustment with Geometric and Temporal Consistency for Robust Visual Matching
- Towards Better Aligned LLM Judges for Radiology Report Evaluation across Modalities and Anatomies
- The limits of bio-molecular modeling with large language models : a cross-scale evaluation
- Evaluating Artificial Intelligence Through a Christian Understanding of Human Flourishing
- From Model-Based Screening to Data-Driven Surrogates: A Multi-Stage Workflow for Exploring Stochastic Agent-Based Models
- YOLOv11 Demystified: A Practical Guide to High-Performance Object Detection
- Hardware-Oriented Inference Complexity of Kolmogorov-Arnold Networks
- Towards Intelligent Energy Security: A Unified Spatio-Temporal and Graph Learning Framework for Scalable Electricity Theft Detection in Smart Grids
- Generative Unsupervised Downscaling of Climate Models via Domain Alignment: Application to Wind Fields
- Learning Additively Compositional Latent Actions for Embodied AI
- Hierarchical Awareness Adapters with Hybrid Pyramid Feature Fusion for Dense Depth Prediction
- The Ideation Bottleneck: Decomposing the Quality Gap Between AI-Generated and Human Economics Research
- Significance and Stability Analysis of Genotype-Environment Interaction using GxEStat
- NativeTernary: A Self-Delimiting Binary Encoding with Unary Run-Length Hierarchy Markers for Ternary Neural Network Weights, Structured Data, and General Computing Infrastructure
- Apparent Age Estimation: Challenges and Outcomes
- Bridging the Dimensionality Gap: A Taxonomy and Survey of 2D Vision Model Adaptation for 3D Analysis
- Composer Vector: Style-steering Symbolic Music Generation in a Latent Space
- AICCE: AI Driven Compliance Checker Engine
- Enhancing Robustness of Federated Learning via Server Learning
- HyperCT: Low-Rank Hypernet for Unified Chest CT Analysis
- Power one sequential tests exist for weakly compact mathscr P against mathscr Pc
- BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence
- ProtoFlow: Mitigating Forgetting in Class-Incremental Remote Sensing Segmentation via Low-Curvature Prototype Flow
- A Tsetlin Machine-driven Intrusion Detection System for Next-Generation IoMT Security
- PR3DICTR: A modular AI framework for medical 3D image-based detection and outcome prediction
- The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report
- Real-Time Surrogate Modeling for Personalized Blood Flow Prediction and Hemodynamic Analysis
- Gradient Boosting within a Single Attention Layer
- Reflective Context Learning: Studying the Optimization Primitives of Context Space
- PRISM: LLM-Guided Semantic Clustering for High-Precision Topics
- SFFNet: Synergistic Feature Fusion Network With Dual-Domain Edge Enhancement for UAV Image Object Detection
- EffiMiniVLM: A Compact Dual-Encoder Regression Framework
- BibTeX Citation Errors in Scientific Publishing Agents: Evaluation and Mitigation
- CAMEO: A Conditional and Quality-Aware Multi-Agent Image Editing Orchestrator
- DSBD: Dual-Aligned Structural Basis Distillation for Graph Domain Adaptation
- HyperFitS -- Hypernetwork Fitting Spectra for metabolic quantification of 1H MR spectroscopic imaging
- Valence-Arousal Subspace in LLMs: Circular Emotion Geometry and Multi-Behavioral Control
- Characterization of Gaussian Universality Breakdown in High-Dimensional Empirical Risk Minimization
- Beyond Precision: Importance-Aware Recall for Factuality Evaluation in Long-Form LLM Generation
- StoryScope: Investigating idiosyncrasies in AI fiction
- AI-Assisted Unit Test Writing and Test-Driven Code Refactoring: A Case Study
- A Systematic Security Evaluation of OpenClaw and Its Variants
- Domain-Adapted Retrieval for In-Context Annotation of Pedagogical Dialogue Acts
- SCC-Loc: A Unified Semantic Cascade Consensus Framework for UAV Thermal Geo-Localization
- ARIQA-3DS: A Stereoscopic Image Quality Assessment Dataset for Realistic Augmented Reality
- AlertStar: Path-Aware Alert Prediction on Hyper-Relational Knowledge Graphs
- A Data-Centric Vision Transformer Baseline for SAR Sea Ice Classification
- On Data-Driven Koopman Representations of Nonlinear Delay Differential Equations
- Automatic Textbook Formalization
- SparseSplat: Towards Applicable Feed-Forward 3D Gaussian Splatting with Pixel-Unaligned Prediction
- Escape dynamics and implicit bias of one-pass SGD in overparameterized quadratic networks
- Gram-MMD: A Texture-Aware Metric for Image Realism Assessment
- Can Nano Banana 2 Replace Traditional Image Restoration Models? An Evaluation of Its Performance on Image Restoration Tasks
- Verbalizing LLMs' assumptions to explain and control sycophancy
- MECO: A Multimodal Dataset for Emotion and Cognitive Understanding in Older Adults
- STEAR: Layer-Aware Spatiotemporal Evidence Intervention for Hallucination Mitigation in Video Large Language Models
- Analyzing Healthcare Interoperability Vulnerabilities: Formal Modeling and Graph-Theoretic Approach
- GenSmoke-GS: A Multi-Stage Method for Novel View Synthesis from Smoke-Degraded Images Using a Generative Model
- Learning Contractive Integral Operators with Fredholm Integral Neural Operators
- Comparing the Impact of Pedagogy-Informed Custom and General-Purpose GAI Chatbots on Students' Science Problem-Solving Processes and Performance Using Heterogeneous Interaction Network Analysis
- User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation
- Explicit Time-Frequency Dynamics for Skeleton-Based Gait Recognition
- Rendering Multi-Human and Multi-Object with 3D Gaussian Splatting
- A penalised Saito functional for heuristic search of free line arrangements
- FedSQ: Optimized Weight Averaging via Fixed Gating
- Self-Optimizing Multi-Agent Systems for Deep Research
- Effect of Input Resolution on Retinal Vessel Segmentation Performance: An Empirical Study Across Five Datasets
- Exploring Motion-Language Alignment for Text-driven Motion Generation
- Inversion-Free Natural Gradient Descent on Riemannian Manifolds
- How Annotation Trains Annotators: Competence Development in Social Influence Recognition
- CrossWeaver: Cross-modal Weaving for Arbitrary-Modality Semantic Segmentation
- Learning from Synthetic Data via Provenance-Based Input Gradient Guidance
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