Papers
Wed 22 Apr 2026
417 papers
- C2MOE: Consistency and Complementarity-guided Mixture of Experts for Incomplete Multimodal Emotion LearningMixture-of-experts → Multimodal MoE models
- Causal-Audit: Explicit and Auditable Graph-based Reasoning via Target-Aware Causal Chain ConstructionLLM reasoning → Causal reasoning in LLMs
- Compatibility-Aware Dynamic Fine-Tuning for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Dual-Stance Evaluation of Sycophancy: The Structure of Agreement and the Limits of InterventionMechanistic interpretability → Activation steering methods
- One Jailbreak, Many Tongues: Learning Language-Insensitive Intention Representations for Multilingual Jailbreak DetectionLLM safety and security → Jailbreaking
- To Intervene or Not: Guiding Inference-time Alignment with Probabilistic Model BlendingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Quantum Frog: Emergent Cooperation and Difficulty Scaling in a Quantized-Time Cooperative GameDeep reinforcement learning methods → RL for games and combinatorial optimization
- On the Role of Strain and Vorticity in Numerical Integration Error for Flow MatchingDiffusion models → Flow matching, time series and science
- Breaking the Illusion: When Positive Meets Negative in Multimodal DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- LKV: End-to-End Learning of Head-wise Budgets and Token Selection for LLM KV Cache EvictionEfficient LLM inference and serving → KV cache optimization
- RateQuant: Optimal Mixed-Precision KV Cache Quantization via Rate-Distortion TheoryEfficient LLM inference and serving → KV cache quantization
- EvoJail: Evolutionary Diverse Jailbreak Prompt Generation for Large Language ModelsLLM safety and security → Jailbreaking
- SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous DrivingEnd-to-end autonomous driving → Cooperative and V2X driving
- EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- R3AG: Retriever Routing for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Adaptive Instruction Composition for Automated LLM Red-TeamingLLM safety and security → Prompt injection and agent security
- Dialect vs Demographics: Quantifying LLM Bias from Implicit Linguistic Signals vs. Explicit User ProfilesLLM safety and security → Safety alignment, refusal and guardrails
- WFM: 3D Wavelet Flow Matching for Ultrafast Multi-Modal MRI SynthesisDiffusion models → Medical imaging and segmentation
- Enhancing Science Classroom Discourse Analysis through Joint Multi-Task Learning for Reasoning-Component ClassificationLLM reasoning → Mathematical reasoning
- Beyond Pixels: Introspective and Interactive Grounding for Visualization AgentsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection +1
- Cross-Session Threats in AI Agents: Benchmark, Evaluation, and AlgorithmsLLM agents and tool use → Agent threats, guardrails and governance +1
- Self-Predictive Representation for Autonomous UAV Object-Goal NavigationDeep reinforcement learning methods → RL for robot navigation and UAV control
- Leveraging Multimodal LLMs for Built Environment and Housing Attribute Assessment from Street-View ImageryMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Weighting What Matters: Boosting Sample Efficiency in Medical Report Generation via Token ReweightingMultimodal LLMs / vision-language models → Medical vision-language models
- Foveated Reasoning: Stateful, Action-based Visual Focusing for Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Distributed Generative Inference of LLM at Internet Scales with Multi-Dimensional Communication OptimizationEfficient LLM inference and serving → Speculative decoding
- Optimizing Diffusion Priors in Image Reconstruction from a Single ObservationDiffusion models → Inverse problems and image restoration
- InVitroVision: a Multi-Modal AI Model for Automated Description of Embryo Development using Natural LanguageMultimodal LLMs / vision-language models → Medical vision-language models
- TRACES: Tagging Reasoning Steps for Adaptive Cost-Efficient Early-StoppingLLM reasoning → Test-time compute and efficient thinking
- Strategic Polysemy in AI Discourse: A Philosophical Analysis of Language, Hype, and PowerLLM reasoning → Reasoning benchmarks and evaluation
- Projected Gradient Unlearning for Text-to-Image Diffusion Models: Defending Against Concept Revival AttacksDiffusion models → Robustness, privacy and adversarial aspects +1
- Who Defines Fairness? Target-Based Prompting for Demographic Representation in Generative ModelsDiffusion models → Image generation, text-to-image and editing
- A Systematic Review and Taxonomy of Reinforcement Learning-Model Predictive Control Integration for Linear SystemsDeep reinforcement learning methods → RL for autonomous driving and traffic
- Adaptive Test-Time Compute Allocation with Evolving In-Context DemonstrationsLLM reasoning → Test-time compute and efficient thinking
- Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical RoboticsWorld models → Medical and surgical world models
- Linear Image Generation by Synthesizing Exposure BracketsDiffusion models → Image generation, text-to-image and editing
- AFRILANGTUTOR: Advancing Language Tutoring and Culture Education in Low-Resource Languages with Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic ModelsLLM agents and tool use → Agent threats, guardrails and governance +1
- Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon TasksLLM agents and tool use → Reinforcement learning for LLM agents
- Thinking Like a Botanist: Challenging Multimodal Language Models with Intent-Driven Chain-of-InquiryLLM reasoning → Clinical and biomedical applications +1
- Can Virtual Agents Care? Designing an Empathetic and Personalized LLM-Driven Conversational AgentLLM agents and tool use → Medical and scientific domain agents
- Breaking Bad: Interpretability-Based Safety Audits of State-of-the-Art LLMsLLM safety and security → Safety alignment, refusal and guardrails
- HARBOR: Automated Harness OptimizationLLM agents and tool use → Software engineering coding agents
- AttentionBender: Manipulating Cross-Attention in Video Diffusion Transformers as a Creative ProbeDiffusion models → Video generation
- IRIS: Interpolative R'enyi Iterative Self-play for Large Language Model Fine-TuningSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Adaptive Defense Orchestration for RAG: A Sentinel-Strategist Architecture against Multi-Vector AttacksRetrieval-augmented generation → Privacy and security of RAG +1
- SafeRedirect: Defeating Internal Safety Collapse via Task-Completion Redirection in Frontier LLMsLLM safety and security → Safety alignment, refusal and guardrails
- Learning Reasoning World Models for Parallel CodeLLM reasoning → Reasoning for agents, planning and code
- Simplified Sparse Attention via Gist TokensEfficient LLM inference and serving → KV cache optimization
- The Path Not Taken: Duality in Reasoning about Program ExecutionLLM reasoning → Reasoning for agents, planning and code
- Omission Constraints Decay While Commission Constraints Persist in Long-Context LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- PokeVLA: Empowering Pocket-Sized Vision-Language-Action Model with Comprehensive World Knowledge GuidanceVision-language-action models → 3D and spatial-aware VLA
- AVISE: Framework for Evaluating the Security of AI SystemsLLM safety and security → Jailbreaking
- ParetoSlider: Diffusion Models Post-Training for Continuous Reward ControlDiffusion models → Diffusion and flow policies for robotics +2
- Diagnosing CFG Interpretation in LLMsLLM agents and tool use → General LLM agent frameworks and benchmarks
- OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language ModelLLM reasoning → Multimodal reasoning +1
- Synthesizing Multi-Agent Harnesses for Vulnerability DiscoveryLLM agents and tool use → Software engineering coding agents
- LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language ModelDiffusion models → Image generation, text-to-image and editing
- SWE-chat: Coding Agent Interactions From Real Users in the WildLLM agents and tool use → Software engineering coding agents
- Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval EvaluationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy OptimizationLLM reasoning → Multimodal reasoning +1
- Where and What: Reasoning Dynamic and Implicit Preferences in Situated Conversational RecommendationLLM reasoning → LLM reasoning for recommendation +1
- RespondeoQA: a Benchmark for Bilingual Latin-English Question AnsweringLLM reasoning → Reasoning benchmarks and evaluation
- Learning from the Near Future: Temporal Self-Distillation for RLVRKnowledge distillation → On-policy and self-distillation for LLMs
- Render-in-the-Loop: Vector Graphics Generation via Visual Self-FeedbackMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Supplement Generation Training for Enhancing Agentic Task PerformanceLLM agents and tool use → General LLM agent frameworks and benchmarks
- Tokenised Flow Matching for Hierarchical Simulation Based InferenceDiffusion models → Flow matching, time series and science
- GeoRelight: Learning Joint Geometrical Relighting and Reconstruction with Flexible Multi-Modal Diffusion TransformersDiffusion models → 3D, point cloud and scene generation
- SSL-R1: Self-Supervised Visual Reinforcement Post-Training for Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- R-CoV: Region-Aware Chain-of-Verification for Alleviating Object Hallucinations in LVLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- MGDA-Decoupled: Geometry-Aware Multi-Objective Optimisation for DPO-based LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- ORPHEAS: A Cross-Lingual Greek-English Embedding Model for Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
- The Expense of Seeing: Attaining Trustworthy Multimodal Reasoning Within the Monolithic ParadigmLLM reasoning → Multimodal reasoning +1
- GRPO-VPS: Enhancing Group Relative Policy Optimization with Verifiable Process Supervision for Effective ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- Cooperative Profiles Predict Multi-Agent LLM Team Performance in AI for Science WorkflowsLLM reasoning → Reasoning for agents, planning and code +1
- CHORUS: An Agentic Framework for Generating Realistic Deliberation DataLLM agents and tool use → Social simulation and multi-agent debate
- Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement LearningWorld models → Latent dynamics models and model-based RL +1
- Beyond ZOH: Advanced Discretization Strategies for Vision MambaState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Self-Aware Vector Embeddings for Retrieval-Augmented Generation: A Neuroscience-Inspired Framework for Temporal, Confidence-Weighted, and Relational KnowledgeRetrieval-augmented generation → Generation and context integration
- Physics-Informed Conditional Diffusion for Motion-Robust Retinal Temporal Laser Speckle Contrast ImagingDiffusion models → Medical imaging and segmentation
- Trust, Lies, and Long Memories: Emergent Social Dynamics and Reputation in Multi-Round Avalon with LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Exploring Spatial Intelligence from a Generative PerspectiveMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning ChainsLLM reasoning → Test-time compute and efficient thinking
- LLM StructCore: Schema-Guided Reasoning Condensation and Deterministic CompilationLLM reasoning → Clinical and biomedical applications
- LayerTracer: A Joint Task-Particle and Vulnerable-Layer Analysis framework for Arbitrary Large Language Model ArchitecturesState-space sequence models (S4, Mamba) → Core SSM architectures for language
- On Bayesian Softmax-Gated Mixture-of-Experts ModelsMixture-of-experts → MoE theory and gating functions
- Enhancing Research Idea Generation through Combinatorial Innovation and Multi-Agent Iterative Search StrategiesLLM agents and tool use → Web, search, and research agents
- Evian: Towards Explainable Visual Instruction-tuning Data AuditingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- FASER: Fine-Grained Phase Management for Speculative Decoding in Dynamic LLM ServingEfficient LLM inference and serving → Speculative decoding
- Efficient Test-Time Inference via Deterministic Exploration of Truncated Decoding TreesLLM reasoning → Test-time compute and efficient thinking
- Near-Field Wideband Channel Estimation for XL-MIMO Systems via Denoising Diffusion ModelDiffusion models → Diffusion for compression and wireless
- ProMMSearchAgent: A Generalizable Multimodal Search Agent Trained with Process-Oriented RewardsLLM reasoning → Multimodal reasoning +1
- Video-ToC: Video Tree-of-Cue ReasoningLLM reasoning → Multimodal reasoning
- Temporal Difference Calibration in Sequential Tasks: Application to Vision-Language-Action ModelsVision-language-action models → Failure recovery and robustness
- DynamicRad: Content-Adaptive Sparse Attention for Long Video DiffusionDiffusion models → Video generation
- Mechanistic Interpretability Tool for AI Weather ModelsMechanistic interpretability → Interpreting time-series and weather models
- CCTVBench: Contrastive Consistency Traffic VideoQA Benchmark for Multimodal LLMsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- HaS: Accelerating RAG through Homology-Aware Speculative RetrievalRetrieval-augmented generation → RAG pipeline design and evaluation
- MedSkillAudit: A Domain-Specific Audit Framework for Medical Research Agent SkillsLLM agents and tool use → Web, search, and research agents
All 417
- On Reward-Balancing Methods for Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- OVPD: A Virtual-Physical Fusion Testing Dataset of OnSite Auton-omous Driving ChallengeEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Self-Awareness before Action: Mitigating Logical Inertia via Proactive Cognitive AwarenessLLM reasoning → Reasoning benchmarks and evaluation
- Distributional Value Estimation Without Target Networks for Robust Quality-DiversityDeep reinforcement learning methods → Deep RL algorithms and representations
- Cold-Start Forecasting of New Product Life-Cycles via Conditional Diffusion ModelsDiffusion models → Flow matching, time series and science
- Mitigating Hallucinations in Large Vision-Language Models without Performance DegradationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Object Referring-Guided Scanpath Prediction with Perception-Enhanced Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ConeSep: Cone-based Robust Noise-Unlearning Compositional Network for Composed Image RetrievalLLM safety and security → Vision-language and text-to-image safety
- Hallucination Early Detection in Diffusion ModelsDiffusion models → Medical imaging and segmentation
- X-PCR: A Benchmark for Cross-modality Progressive Clinical Reasoning in Ophthalmic DiagnosisLLM reasoning → Clinical and biomedical applications +1
- Bimanual Robot Manipulation via Multi-Agent In-Context LearningLLM reasoning → Spatial and embodied reasoning +1
- HyLaR: Hybrid Latent Reasoning with Decoupled Policy OptimizationLLM reasoning → Multimodal reasoning +1
- SurgCoT: Advancing Spatiotemporal Reasoning in Surgical Videos through a Chain-of-Thought BenchmarkLLM reasoning → Clinical and biomedical applications +1
- UniCVR: From Alignment to Reranking for Unified Zero-Shot Composed Visual RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- MD-Face: MoE-Enhanced Label-Free Disentangled Representation for Interactive Facial Attribute EditingMixture-of-experts → Vision mixture-of-experts
- R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function CallingLLM reasoning → Reinforcement learning for reasoning +1
- FSFM: A Biologically-Inspired Framework for Selective Forgetting of Agent MemoryLLM agents and tool use → Agent memory systems
- X-Cache: Cross-Chunk Block Caching for Few-Step Autoregressive World Models InferenceWorld models → Video-generation world models and simulators +3
- MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Multi-Perspective Evidence Synthesis and Reasoning for Unsupervised Multimodal Entity LinkingLLM reasoning → Multimodal reasoning
- AgentLens: Adaptive Visual Modalities for Human-Agent Interaction in Mobile GUI AgentsLLM agents and tool use → GUI and mobile agents
- ActuBench: A Multi-Agent LLM Pipeline for Generation and Evaluation of Actuarial Reasoning TasksLLM reasoning → Reasoning for agents, planning and code +1
- Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular DataLLM agents and tool use → Web, search, and research agents
- RADS: Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical SettingsDeep reinforcement learning methods → RL theory and sample complexity
- Mol-Debate: Multi-Agent Debate Improves Structural Reasoning in Molecular DesignLLM agents and tool use → Medical and scientific domain agents
- Cortex 2.0: Grounding World Models in Real-World Industrial DeploymentWorld models → Embodied and robot world models +1
- Hybrid Policy Distillation for LLMsKnowledge distillation → Knowledge distillation for LLMs
- Weighted Knowledge Distillation for Semi-Supervised Segmentation of Maxillary Sinus in Panoramic X-ray ImagesKnowledge distillation → Distillation for medical imaging
- Scaling Self-Play with Self-GuidanceSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
- Chasing the Public Score: User Pressure and Evaluation Exploitation in Coding Agent WorkflowsLLM agents and tool use → Software engineering coding agents
- All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAGRetrieval-augmented generation → Generation and context integration
- LLM-Guided Safety Agent for Edge Robotics with an ISO-Compliant Perception-Compute-Control ArchitectureLLM agents and tool use → Agent threats, guardrails and governance
- From Scene to Object: Text-Guided Dual-Gaze PredictionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- WildFireVQA: A Large-Scale Radiometric Thermal VQA Benchmark for Aerial Wildfire MonitoringLLM reasoning → Spatial and embodied reasoning
- Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem SolvingLLM agents and tool use → Agent memory systems
- Taint-Style Vulnerability Detection and Confirmation for Node.js Packages Using LLM Agent ReasoningLLM agents and tool use → Agent threats, guardrails and governance
- Lever: Inference-Time Policy Reuse under Support ConstraintsDeep reinforcement learning methods → Deep RL algorithms and representations
- Stateless Decision Memory for Enterprise AI AgentsLLM agents and tool use → Agent memory systems
- Temporally Extended Mixture-of-Experts ModelsMixture-of-experts → MoE in reinforcement learning and robotics
- Toward Safe Autonomous Robotic Endovascular Interventions using World ModelsWorld models → Medical and surgical world models +1
- HiPO: Hierarchical Preference Optimization for Adaptive Reasoning in LLMsLLM reasoning → Mathematical reasoning +1
- AgentSOC: A Multi-Layer Agentic AI Framework for Security Operations AutomationLLM agents and tool use → Agent threats, guardrails and governance
- EvoAgent: An Evolvable Agent Framework with Skill Learning and Multi-Agent DelegationLLM agents and tool use → Agent skill learning and evolution
- Semi-Supervised Flow Matching for Mosaiced and Panchromatic Fusion ImagingDiffusion models → Inverse problems and image restoration
- To Know is to Construct: Schema-Constrained Generation for Agent MemoryLLM agents and tool use → Agent memory systems
- On the Stability and Generalization of First-order Bilevel Minimax OptimizationDeep reinforcement learning methods → RL theory and sample complexity
- Differentiable Conformal Training for LLM Reasoning FactualityLLM reasoning → Test-time compute and efficient thinking
- Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning FrameworkLLM reasoning → Reasoning benchmarks and evaluation
- SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World TasksLLM agents and tool use → Agent skill learning and evolution
- Concept Graph Convolutions: Message Passing in the Concept SpaceLLM reasoning → Knowledge- and tool-augmented reasoning
- On the Quantization Robustness of Diffusion Language Models in Coding BenchmarksDiffusion models → Discrete and text diffusion
- Maximum Entropy Semi-Supervised Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning +1
- From Hidden Profiles to Governable Personalization: Recommender Systems in the Age of LLM AgentsLLM agents and tool use → Agentic recommender systems
- A Long-Run Persistence Theory for AI Systems under the Redundancy-Adjusted Artificial Age Score (AAS)
- Cross-Dataset Bloom Question Classification: Supervised Models and Prompted LLMs
- Benchmarking Large Language Models for Safety Data Extraction
- LatticeBridge: Rare-Event Sequential Inference for Faithful Structured Sequence Synthesis
- IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation
- BODHI: Precise OS Kernel Specification Inference
- Seed3D 2.0: Advancing High-Fidelity Simulation-Ready 3D Content Generation
- A Hierarchical Ensemble Pipeline for Anomaly Detection in ESA Satellite Telemetry
- A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence
- FASQ: Flexible Accelerated Subspace Quantization for Calibration-Free LLM Compression
- Where to Bind Matters: Hebbian Fast Weights in Vision Transformers for Few-Shot Character Recognition
- Autonomous Reliability Qualification of Ga2O3-based diode sensors via Safe Active Learning
- Leakage-Audited Benchmarking Reveals Limited Evidence for Cross-Subject Auditory-Evoked EEG Vowel Perception Decoding
- Broadband Wide Field of View Imaging with Computational Mirrors
- MoDAl: Self-Supervised Neural Modality Discovery via Decorrelation for Speech Neuroprosthesis
- Not All Memories Age the Same: Autodiscovery of Adaptive Decay in Knowledge Graphs
- A Digital Pathology Resource for Liver Cancer Quantification with Datasets, Benchmarks, and Tools
- IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0
- Attention-Augmented YOLOv8 with Ghost Convolution for Real-Time Vehicle Detection in Intelligent Transportation Systems
- Evaluating Remote Sensing Image Captions Beyond Metric Biases
- MAE-Based Self-Supervised Pretraining for Data-Efficient Medical Image Segmentation Using nnFormer
- FastAT Benchmark: A Comprehensive Framework for Fair Evaluation of Fast Adversarial Training Methods
- Accelerating New Product Introduction for Visual Quality Inspection via Few-Shot Diffusion-Based Defect Synthesis
- LunarDepthNet: Generation of Digital Elevation Models using Deep Learning and Monocular Satellite Images
- Dream-Cubed: Controllable Generative Modeling in Minecraft by Training on Billions of Cubes
- Building a Precise Video Language with Human-AI Oversight
- Multi-Agent Empowerment and Emergence of Complex Behavior in Groups
- Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction
- "This Wasn't Made for Me": Recentering User Experience and Emotional Impact in the Evaluation of ASR Bias
- Using Machine Mental Imagery for Representing Common Ground in Situated Dialogue
- Slot Machines: How LLMs Keep Track of Multiple Entities
- Navigating the Clutter: Waypoint-Based Bi-Level Planning for Multi-Robot Systems
- GRISP: Guided Recurrent IRI Selection over SPARQL Skeletons
- AGNT2: Autonomous Agent Economies on Interaction-Optimized Layer 2 Infrastructure
- HyperFM: An Efficient Hyperspectral Foundation Model with Spectral Grouping
- TabSHAP
- Materialistic RIR: Material Conditioned Realistic RIR Generation
- Machine learning and emoji prediction: How much accuracy can MARBERT achieve?
- How Much Is One Recurrence Worth? Iso-Depth Scaling Laws for Looped Language Models
- Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance
- AI Governance under Political Turnover: The Alignment Surface of Compliance Design
- A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting
- Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences
- Propensity Inference: Environmental Contributors to LLM Behaviour
- Learning to Emulate Chaos: Adversarial Optimal Transport Regularization
- Multilingual and Domain-Agnostic Tip-of-the-Tongue Query Generation for Simulated Evaluation
- Spectral Embeddings Leak Graph Topology: Theory, Benchmark, and Adaptive Reconstruction
- TRAVELFRAUDBENCH: A Configurable Evaluation Framework for GNN Fraud Ring Detection in Travel Networks
- Mind the Prompt: Self-adaptive Generation of Task Plan Explanations via LLMs
- Structural Quality Gaps in Practitioner AI Governance Prompts: An Empirical Study Using a Five-Principle Evaluation Framework
- climt-paraformer: Stable Emulation of Convective Parameterization using a Temporal Memory-aware Transformer
- Behavioral Consistency and Transparency Analysis on Large Language Model API Gateways
- Serialisation Strategy Matters: How FHIR Data Format Affects LLM Medication Reconciliation
- Generative Discovery of Magnetic Insulators under Competing Physical Constraints
- DWTSumm: Discrete Wavelet Transform for Document Summarization
- Expanding the extreme-k dielectric materials space through physics-validated generative reasoning
- Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images
- Neuro-Symbolic Manipulation Understanding with Enriched Semantic Event Chains
- StyleVAR: Controllable Image Style Transfer via Visual Autoregressive Modeling
- JEPAMatch: Geometric Representation Shaping for Semi-Supervised Learning
- Hierarchical Policy Optimization for Simultaneous Translation of Unbounded Speech
- Active Data
- Interpretable Quantile Regression by Optimal Decision Trees
- Unlocking Multi-Spectral Data for Multi-Modal Models with Guided Inputs and Chain-of-Thought Reasoning
- Synthetic Data in Education: Empirical Insights from Traditional Resampling and Deep Generative Models
- Integrated packing, placement, scheduling, and routing of personalized production: a pharmaceutical Industry 4.0 use-case with a planar transport system
- A Deep U-Net Framework for Flood Hazard Mapping Using Hydraulic Simulations of the Wupper Catchment
- HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering
- MCAP: Deployment-Time Layer Profiling for Memory-Constrained LLM Inference
- SGD at the Edge of Stability: The Stochastic Sharpness Gap
- Micro-DualNet: Dual-Path Spatio-Temporal Network for Micro-Action Recognition
- Deep FinResearch Bench: Evaluating AI's Ability to Conduct Professional Financial Investment Research
- The Last Harness You'll Ever Build
- Value-Conflict Diagnostics Reveal Widespread Alignment Faking in Language Models
- Droplet-LNO: Physics-Informed Laplace Neural Operators for Accurate Prediction of Droplet Spreading Dynamics on Complex Surfaces
- Differentially Private Model Merging
- PanGuide3D: Cohort-Robust Pancreas Tumor Segmentation via Probabilistic Pancreas Conditioning and a Transformer Bottleneck
- Escaping the Agreement Trap: Defensibility Signals for Evaluating Rule-Governed AI
- Early Detection of Latent Microstructure Regimes in Limit Order Books
- LAF-Based Evaluation and UTTL-Based Learning Strategies with MIATTs
- SCM: Sleep-Consolidated Memory with Algorithmic Forgetting for Large Language Models
- Sink-Token-Aware Pruning for Fine-Grained Video Understanding in Efficient Video LLMs
- Data-Driven Open-Loop Simulation for Digital-Twin Operator Decision Support in Wastewater Treatment
- SDNGuardStack: An Explainable Ensemble Learning Framework for High-Accuracy Intrusion Detection in Software-Defined Networks
- Domain-Aware Hierarchical Contrastive Learning for Semi-Supervised Generalization Fault Diagnosis
- Unsupervised Learning of Inter-Object Relationships via Group Homomorphism
- Clinically Interpretable Sepsis Early Warning via LLM-Guided Simulation of Temporal Physiological Dynamics
- ILDR: Geometric Early Detection of Grokking
- Validating a Deep Learning Algorithm to Identify Patients with Glaucoma using Systemic Electronic Health Records
- Absorber LLM: Harnessing Causal Synchronization for Test-Time Training
- FairyFuse: Multiplication-Free LLM Inference on CPUs via Fused Ternary Kernels
- Planetary Exploration 3.0: A Roadmap for Software-Defined, Radically Adaptive Space Systems
- SpeechParaling-Bench: A Comprehensive Benchmark for Paralinguistic-Aware Speech Generation
- DeVI: Physics-based Dexterous Human-Object Interaction via Synthetic Video Imitation
- Parallel-SFT: Improving Zero-Shot Cross-Programming-Language Transfer for Code RL
- FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels
- Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls
- Global Offshore Wind Infrastructure: Deployment and Operational Dynamics from Dense Sentinel-1 Time Series
- Stream-CQSA: Exact Out-of-Memory Recovery for Attention
- Convergent Evolution: How Different Language Models Learn Similar Number Representations
- Adapting TrOCR for Printed Tigrinya Text Recognition: Word-Aware Loss Weighting for Cross-Script Transfer Learning
- Relative Principals, Pluralistic Alignment, and the Structural Value Alignment Problem
- LEXIS: LatEnt ProXimal Interaction Signatures for 3D HOI from an Image
- Gauge-Equivariant Graph Neural Networks for Lattice Gauge Theories
- Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems
- Can "AI" Be a Doctor? A Study of Empathy, Readability, and Alignment in Clinical LLMs
- Working Memory Constraints Scaffold Learning in Transformers under Data Scarcity
- GeoRect4D: Geometry-Compatible Generative Rectification for Dynamic Sparse-View 3D Reconstruction
- Physics-Conditioned Synthesis of Internal Ice-Layer Thickness for Incomplete Layer Traces
- Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning
- Relative Entropy Estimation in Function Space: Theory and Applications to Trajectory Inference
- DAIRE: A lightweight AI model for real-time detection of Controller Area Network attacks in the Internet of Vehicles
- Personalized electric vehicle energy consumption estimation framework that integrates driver behavior with map data
- Geometric Renyi Differential Privacy: Ricci Curvature Characterized by Heat Diffusion Mechanisms
- Exploring High-Order Self-Similarity for Video Understanding
- Amodal SAM: A Unified Amodal Segmentation Framework with Generalization
- Lifecycle-Aware Federated Continual Learning in Mobile Autonomous Systems
- AAC: Admissible-by-Architecture Differentiable Landmark Compression for ALT
- Ftextsuperscript2LP-AP: Fast & Flexible Label Propagation with Adaptive Propagation Kernel
- Fast Bayesian equipment condition monitoring via simulation based inference: applications to heat exchanger health
- Anchor-and-Resume Concession Under Dynamic Pricing for LLM-Augmented Freight Negotiation
- Interval POMDP Shielding for Imperfect-Perception Agents
- Exploiting LLM-as-a-Judge Disposition on Free Text Legal QA via Prompt Optimization
- COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling
- ONOTE: Hypergraph-Grounded Omnimodal Reasoning for Computational Music Science
- Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization
- Participatory provenance as representational auditing for AI-mediated public consultation
- Generative Flow Networks for Model Adaptation in Digital Twins of Natural Systems
- QuanForge: A Mutation Testing Framework for Quantum Neural Networks
- Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing
- StormNet: Improving storm surge predictions with a GNN-based spatio-temporal offset forecasting model
- Variance Is Not Importance: Structural Analysis of Transformer Compressibility Across Model Scales
- Intersectional Fairness in Large Language Models
- Improving clinical interpretability of linear neuroimaging models through feature whitening
- A Field Guide to Decision Making
- Large Language Models Outperform Humans in Fraud Detection and Resistance to Motivated Investor Pressure
- MAPRPose: Mask-Aware Proposal and Amodal Refinement for Multi-Object 6D Pose Estimation
- A weighted angle distance on strings
- Centering Ecological Goals in Automated Identification of Individual Animals
- RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-N Ranking
- pAI/MSc: ML Theory Research with Humans on the Loop
- Too Sharp, Too Sure: When Calibration Follows Curvature
- Differentially Private Clustered Federated Learning with Privacy-Preserving Initialization and Normality-Driven Aggregation
- An explicit operator explains end-to-end computation in the modern neural networks used for sequence and language modeling
- Structure-Augmented Standard Plane Detection with Temporal Aggregation in Blind-Sweep Fetal Ultrasound
- A Hierarchical MARL-Based Approach for Coordinated Retail P2P Trading and Wholesale Market Participation of DERs
- On the Impact of Face Segmentation-Based Background Removal on Recognition and Morphing Attack Detection
- Evaluating Assurance Cases as Text-Attributed Graphs for Structure and Provenance Analysis
- Where are they looking in the operating room?
- Ask Only When Needed: Proactive Retrieval from Memory and Skills for Experience-Driven Lifelong Agents
- The Effect of Idea Elaboration on the Automatic Assessment of Idea Originality
- Amortized Vine Copulas for High-Dimensional Density and Information Estimation
- Toward Cross-Lingual Quality Classifiers for Multilingual Pretraining Data Selection
- Measuring the Machine: Evaluating Generative AI as Pluralist Sociotechical Systems
- RefAerial: A Benchmark and Approach for Referring Detection in Aerial Images
- Aligning Stuttered-Speech Research with End-User Needs: Scoping Review, Survey, and Guidelines
- Effects of Cross-lingual Evidence in Multilingual Medical Question Answering
- Early-Stage Product Line Validation Using LLMs: A Study on Semi-Formal Blueprint Analysis
- From Image to Music Language: A Two-Stage Structure Decoding Approach for Complex Polyphonic OMR
- Efficient Symbolic Computations for Identifying Causal Effects
- CHASM: Unveiling Covert Advertisements on Chinese Social Media
- Explicit Dropout: Deterministic Regularization for Transformer Architectures
- Mythos and the Unverified Cage: Z3-Based Pre-Deployment Verification for Frontier-Model Sandbox Infrastructure
- Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks
- Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms
- Knowledge Capsules: Structured Nonparametric Memory Units for LLMs
- Forecasting Individual NetFlows using a Predictive Masked Graph Autoencoder
- Random Walk on Point Clouds for Feature Detection
- MOMO: A framework for seamless physical, verbal, and graphical robot skill learning and adaptation
- Deja Vu at Scale: Paraphrase-Robust Detection of Duplicate Gherkin Steps in Behaviour-Driven Software Testing with Sentence-Transformer Embeddings and a 1.1M-Step Open Benchmark
- Surrogate Functionals for Machine-Learned Orbital-Free Density Functional Theory
- Not all ANIMALs are equal: metaphorical framing through source domains and semantic frames
- Decoding Text Spans for Efficient and Accurate Named-Entity Recognition
- The Origin of Edge of Stability
- VTouch++: A Multimodal Dataset with Vision-Based Tactile Enhancement for Bimanual Manipulation
- DialToM: A Theory of Mind Benchmark for Forecasting State-Driven Dialogue Trajectories
- Shift-Up: A Framework for Software Engineering Guardrails in AI-native Software Development -- Initial Findings
- Fast-then-Fine: A Two-Stage Framework with Multi-Granular Representation for Cross-Modal Retrieval in Remote Sensing
- Unlocking the Forecasting Economy: A Suite of Datasets for the Full Lifecycle of Prediction Market: [Experiments & Analysis]
- Scalable AI Inference: Performance Analysis and Optimization of AI Model Serving
- Semantic Recall for Vector Search
- Fast and Provably Accurate Sequential Designs using Hilbert Space Gaussian Processes
- Calibrating conditional risk
- Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids
- Onyx: Cost-Efficient Disk-Oblivious ANN Search
- WebGen-R1: Incentivizing Large Language Models to Generate Functional and Aesthetic Websites with Reinforcement Learning
- SpaCeFormer: Fast Proposal-Free Open-Vocabulary 3D Instance Segmentation
- MLG-Stereo: ViT Based Stereo Matching with Multi-Stage Local-Global Enhancement
- Self-supervised pretraining for an iterative image size agnostic vision transformer
- CyberCertBench: Evaluating LLMs in Cybersecurity Certification Knowledge
- Graph2Counsel: Clinically Grounded Synthetic Counseling Dialogue Generation from Client Psychological Graphs
- Towards Event-Aware Forecasting in DeFi: Insights from On-chain Automated Market Maker Protocols
- AI models of unstable flow exhibit hallucination
- LaplacianFormer:Rethinking Linear Attention with Laplacian Kernel
- Benefits of Low-Cost Bio-Inspiration in the Age of Overparametrization
- SignDATA: Data Pipeline for Sign Language Translation
- A Vision-Language-Action Model for Adaptive Ultrasound-Guided Needle Insertion and Needle Tracking
- Stability-Driven Motion Generation for Object-Guided Human-Human Co-Manipulation
- Surrogate modeling for interpreting black-box LLMs in medical predictions
- Image Generators are Generalist Vision Learners
- Formalising the Logit Shift Induced by LoRA: A Technical Note
- Seeing Further and Wider: Joint Spatio-Temporal Enlargement for Micro-Video Popularity Prediction
- Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning
- Improving Facial Emotion Recognition through Dataset Merging and Balanced Training Strategies
- Dual Causal Inference: Integrating Backdoor Adjustment and Instrumental Variable Learning for Medical VQA
- LLM-guided phase diagram construction through high-throughput experimentation
- Properties and limitations of geometric tempering for gradient flow dynamics
- Online Survival Analysis: A Bandit Approach under Cox PH Model
- Synthetic Flight Data Generation Using Generative Models
- Efficient INT8 Single-Image Super-Resolution via Deployment-Aware Quantization and Teacher-Guided Training
- Generative Augmentation of Imbalanced Flight Records for Flight Diversion Prediction: A Multi-objective Optimisation Framework
- Fourier Series Coder: A Novel Perspective on Angle Boundary Discontinuity Problem for Oriented Object Detection
- Rethinking Intrinsic Dimension Estimation in Neural Representations
- Text Steganography with Dynamic Codebook and Multimodal Large Language Model
- Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization
- ATIR: Towards Audio-Text Interleaved Contextual Retrieval
- AROMA: Augmented Reasoning Over a Multimodal Architecture for Virtual Cell Genetic Perturbation Modeling
- Causal-Transformer with Adaptive Mutation-Locking for Early Prediction of Acute Kidney Injury
- Rethinking Where to Edit: Task-Aware Localization for Instruction-Based Image Editing
- uLEAD-TabPFN: Uncertainty-aware Dependency-based Anomaly Detection with TabPFN
- Secure Rate-Distortion-Perception: A Randomized Distributed Function Computation Approach for Realism
- Bio-inspired Color Constancy: From Gray Anchoring Theory to Gray Pixel Methods
- Construction of a Battery Research Knowledge Graph using a Global Open Catalog
- Machine Learning-based Two-Stage Graph Sparsification for the Travelling Salesman Problem
- Enhancing Speaker Verification with Whispered Speech via Post-Processing
- Learning Spatial-Temporal Coherent Correlations for Speech-Preserving Facial Expression Manipulation
- The GaoYao Benchmark: A Comprehensive Framework for Evaluating Multilingual and Multicultural Abilities of Large Language Models
- Markov reads Pushkin, again: A statistical journey into the poetic world of Evgenij Onegin
- Layer-wise Geometric Approximation Rates for Deep Networks
- Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context
- Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
- Vibrotactile Preference Learning: Uncertainty-Aware Preference Learning for Personalized Vibration Feedback
- ACT: Anti-Crosstalk Learning for Cross-Sectional Stock Ranking via Temporal Disentanglement and Structural Purification
- Structure-Aware Variational Learning of a Class of Generalized Diffusions
- Physics-Enhanced Deep Learning for Proactive Thermal Runaway Forecasting in Li-Ion Batteries
- Cover meets Robbins while Betting on Bounded Data: ln n Regret and Almost Sure lnln n Regret
- Semantic-Fast-SAM: Efficient Semantic Segmenter
- Duluth at SemEval-2026 Task 6: DeBERTa with LLM-Augmented Data for Unmasking Political Question Evasions
- Trust Stack for Mental Health AI: A Survey of Calibration across Human, Interaction, and AI Layers
- SMART: A Spectral Transfer Approach to Multi-Task Learning
- HumanScore: Benchmarking Human Motions in Generated Videos
- GSCompleter: A Distillation-Free Plugin for Metric-Aware 3D Gaussian Splatting Completion in Seconds
- Maximum Likelihood Reconstruction for Multi-Look Digital Holography with Markov-Modeled Speckle Correlation
- Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models
- Robust Out-of-Distribution Stochastic Optimization
- SAKE: Self-aware Knowledge Exploitation-Exploration for Grounded Multimodal Named Entity Recognition
- Pre-Execution Query Slot-Time Prediction in Cloud Data Warehouses: A Feature-Scoped Machine Learning Approach
- Machine learning moment closure models for the radiative transfer equation IV: enforcing symmetrizable hyperbolicity in two dimensions
- Fourier Weak SINDy: Spectral Test Function Selection for Robust Model Identification
- IMPACT-CYCLE: A Contract-Based Multi-Agent System for Claim-Level Supervisory Correction of Long-Video Semantic Memory
- AFMRL: Attribute-Enhanced Fine-Grained Multi-Modal Representation Learning in E-commerce
- Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives
- Pairing Regularization for Mitigating Many-to-One Collapse in GANs
- A Delta-Aware Orchestration Framework for Scalable Multi-Agent Edge Computing
- Trajectory-Aware Reliability Modeling of Democratic Systems
- Topology-Aware Skeleton Detection via Lighthouse-Guided Structured Inference
- Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring
- Meta Additive Model: Interpretable Sparse Learning With Auto Weighting
- Learning to Solve the Quadratic Assignment Problem with Warm-Started MCMC Finetuning
- FurnSet: Exploiting Repeats for 3D Scene Reconstruction
- Energy-Based Open-Set Active Learning for Object Classification
- Improved large-scale graph learning through ridge spectral sparsification
- Analysis of Nystrom method with sequential ridge leverage scores
- Auditing and Controlling AI Agent Actions in Spreadsheets