Papers
Thu 11 Dec 2025
344 papers
- SoDA: An Efficient Interaction Paradigm for the Agentic WebLLM agents and tool use → Web, search, and research agents
- GLOW: Graph-Language Co-Encoding for Agentic Workflow Performance PredictionLLM agents and tool use → Software engineering coding agents
- Zero-Knowledge Audit for Internet of Agents: Privacy-Preserving Communication Verification with Model Context ProtocolLLM agents and tool use → Agent threats, guardrails and governance
- PyFi: Toward Pyramid-like Financial Image Understanding for VLMs via Adversarial AgentsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection +1
- Towards Accessible Physical AI: LoRA-Based Fine-Tuning of VLA Models for Real-World Robot ControlVision-language-action models → Generalist VLA models and benchmarks
- CXL-SpecKV: A Disaggregated FPGA Speculative KV-Cache for Datacenter LLM ServingEfficient LLM inference and serving → KV cache optimization
- Motif-2-12.7B-Reasoning: A Practitioner's Guide to RL Training RecipesLLM reasoning → Reinforcement learning for reasoning
- CORL: Reinforcement Learning of MILP Policies Solved via Branch and BoundDeep reinforcement learning methods → Deep RL algorithms and representations
- Image Tiling for High-Resolution Reasoning: Balancing Local Detail with Global ContextLLM reasoning → Multimodal reasoning
- MiniScope: A Least Privilege Framework for Authorizing Tool Calling AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Automated Penetration Testing with LLM Agents and Classical PlanningLLM agents and tool use → Agent threats, guardrails and governance
- Fast-FoundationStereo: Real-Time Zero-Shot Stereo MatchingKnowledge distillation → Detection and dense prediction distillation
- Limits and Gains of Test-Time Scaling in Vision-Language ReasoningLLM reasoning → Multimodal reasoning +1
- VGent: Visual Grounding via Modular Design for Disentangling Reasoning and PredictionLLM reasoning → Multimodal reasoning +1
- Data-Driven Model Reduction using WeldNet: Windowed Encoders for Learning DynamicsMechanistic interpretability → Sparse autoencoder training and evaluation
- VDAWorld: World Modelling via VLM-Directed Abstraction and SimulationWorld models → Video-generation world models and simulators
- Synthetic Vasculature and Pathology Enhance Vision-Language Model ReasoningLLM reasoning → Clinical and biomedical applications +1
- Weakly Supervised Tuberculosis Localization in Chest X-rays through Knowledge DistillationKnowledge distillation → Distillation for medical imaging
- WorldLens: Full-Spectrum Evaluations of Driving World Models in Real WorldWorld models → Video-generation world models and simulators +1
- Group Diffusion: Enhancing Image Generation by Unlocking Cross-Sample CollaborationDiffusion models → Diffusion foundations and sampling
- Towards Efficient and Effective Multi-Camera Encoding for End-to-End DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- ImplicitRDP: An End-to-End Visual-Force Diffusion Policy with Structural Slow-Fast LearningDiffusion models → Diffusion and flow policies for robotics
- AlcheMinT: Fine-grained Temporal Control for Multi-Reference Consistent Video GenerationDiffusion models → Video generation
- VL-JEPA: Joint Embedding Predictive Architecture for Vision-languageMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- OmniView: An All-Seeing Diffusion Model for 3D and 4D View SynthesisDiffusion models → 3D, point cloud and scene generation
- Curriculum-Based Reinforcement Learning for Autonomous UAV Navigation in Unknown Curved Tubular ConduitDeep reinforcement learning methods → RL for robot navigation and UAV control
- Asynchronous Reasoning: Training-Free Interactive Thinking LLMsLLM reasoning → Audio-language model reasoning
- FoundationMotion: Auto-Labeling and Reasoning about Spatial Movement in VideosLLM reasoning → Spatial and embodied reasoning
- Digital Twin Supervised Reinforcement Learning Framework for Autonomous Underwater NavigationDeep reinforcement learning methods → RL for robot navigation and UAV control
- Multi-Granular Node Pruning for Causal Circuit DiscoveryMechanistic interpretability → Circuits and mechanistic analysis
- DuetSVG: Unified Multimodal SVG Generation with Internal Visual GuidanceMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Guided Transfer Learning for Discrete Diffusion ModelsDiffusion models → Discrete and text diffusion
- From Macro to Micro: Benchmarking Microscopic Spatial Intelligence on Molecules via Vision-Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Scaling Behavior of Discrete Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- UBCL: A Reinforcement Learning Framework for Controllable and Diverse Player BehaviorsDeep reinforcement learning methods → RL for games and combinatorial optimization
- V-OCBF: Learning Safety Filters from Offline Data via Value-Guided Offline Control Barrier FunctionsOffline RL and imitation learning from data → Safe offline RL
- Interpretable and Steerable Concept Bottleneck Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- Replace, Don't Expand: Mitigating Context Dilution in Multi-Hop RAG via Fixed-Budget Evidence AssemblyRetrieval-augmented generation → Generation and context integration
- OPV: Outcome-based Process Verifier for Efficient Long Chain-of-Thought VerificationLLM reasoning → Reinforcement learning for reasoning
- Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem SolvingLLM reasoning → Mathematical reasoning
- SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- How to Brake? Ethical Emergency Braking with Deep Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
- Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent EvolutionLLM agents and tool use → Agent memory systems
- Enhancing Radiology Report Generation and Visual Grounding using Reinforcement LearningMultimodal LLMs / vision-language models → Medical vision-language models +1
- Safe for Whom? Rethinking How We Evaluate the Safety of LLMs for Real UsersLLM reasoning → Reasoning for agents, planning and code
- Evaluating Gemini Robotics Policies in a Veo World SimulatorWorld models → Embodied and robot world models
- AEBNAS: Strengthening Exit Branches in Early-Exit Networks through Hardware-Aware Neural Architecture SearchEfficient LLM inference and serving → Early exit and edge inference
- On the Dynamics of Multi-Agent LLM Communities Driven by Value DiversityLLM agents and tool use → Social simulation and multi-agent debate
- Closing the Navigation Compliance Gap in End-to-end Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- CAPTAIN: Semantic Feature Injection for Memorization Mitigation in Text-to-Image Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- AgriGPT-Omni: A Unified Speech-Vision-Text Framework for Multilingual Agricultural IntelligenceMultimodal LLMs / vision-language models → Agricultural vision-language models
- Thinking While Driving: A Concurrent Framework for Real-Time, LLM-Based Adaptive RoutingLLM reasoning → Reasoning for agents, planning and code
- LEO-RobotAgent: A General-purpose Robotic Agent for Language-driven Embodied OperatorLLM agents and tool use → Multimodal and embodied agents
- Multi-Objective Reward and Preference Optimization: Theory and AlgorithmsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Unleashing Degradation-Carrying Features in Symmetric U-Net: Simpler and Stronger Baselines for All-in-One Image RestorationDiffusion models → Inverse problems and image restoration +1
- RoleRMBench & RoleRM: Towards Reward Modeling for Profile-Based Role Play in Dialogue SystemsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Causal Reasoning Favors Encoders: On The Limits of Decoder-Only ModelsLLM reasoning → Causal reasoning in LLMs
- Grounding Everything in Tokens for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Blink: Dynamic Visual Token Resolution for Enhanced Multimodal UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Unlocking the Address Book: Dissecting the Sparse Semantic Structure of LLM Key-Value Caches via Sparse AutoencodersEfficient LLM inference and serving → KV cache optimization +1
- Achieving Olympiad-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement LearningLLM agents and tool use → Educational agents and math problem solving
- Inverse problems with diffusion models: MAP estimation via mode-seeking lossDiffusion models → Inverse problems and image restoration
- Adaptive Replay Buffer for Offline-to-Online Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Zero-shot 3D Map Generation with LLM Agents: A Dual-Agent Architecture for Procedural Content GenerationLLM agents and tool use → Multimodal and embodied agents
- UACER: An Uncertainty-Adaptive Critic Ensemble Framework for Robust Adversarial Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
- When Reject Turns into Accept: Quantifying the Vulnerability of LLM-Based Scientific Reviewers to Indirect Prompt InjectionLLM safety and security → Prompt injection and agent security
- Clustered Federated Learning with Hierarchical Knowledge DistillationKnowledge distillation → Federated, robust and private distillation
- Decoding Student Minds: Leveraging Conversational Agents for Psychological and Learning AnalysisLLM agents and tool use → Educational agents and math problem solving
- Targeted Data Protection for Diffusion Model by Matching Training TrajectoryDiffusion models → Robustness, privacy and adversarial aspects
- T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and PlaygroundLLM reasoning → Reasoning benchmarks and evaluation
- Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting LayersRetrieval-augmented generation → RAG robustness and adaptive retrieval
- How to Trick Your AI TA: A Systematic Study of Academic Jailbreaking in LLM Code EvaluationLLM safety and security → Jailbreaking
- Boosting RL-Based Visual Reasoning with Selective Adversarial Entropy InterventionLLM reasoning → Reinforcement learning for reasoning +1
- Confucius Code Agent: Scalable Agent Scaffolding for Real-World CodebasesLLM agents and tool use → Software engineering coding agents
- RoboNeuron: A Middle-Layer Infrastructure for Agent-Driven Orchestration in Embodied AIVision-language-action models → Failure recovery and robustness +1
- Towards Fine-Grained Recognition with Large Visual Language Models: Benchmark and Optimization StrategiesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Investigating training objective for flow matching-based speech enhancementDiffusion models → Audio, speech and music
- AgentProg: Empowering Long-Horizon GUI Agents with Program-Guided Context ManagementLLM agents and tool use → GUI and mobile agents
- GPG: Generalized Policy Gradient Theorem for Transformer-based PoliciesDeep reinforcement learning methods → RL theory and sample complexity
- Visual Funnel: Resolving Contextual Blindness in Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering TaskLLM reasoning → Multimodal reasoning
- Hybrid Transformer-Mamba for Weakly Supervised Volumetric Medical SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Geometric Dynamics of Agentic Loops in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking +1
- REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output FeatureLLM safety and security → Federated unlearning and poisoning
- CoSPlan: Corrective Sequential Planning via Scene Graph Incremental UpdatesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMsEfficient LLM inference and serving → Audio and omni-modal token compression
- EpiPlanAgent: Agentic Automated Epidemic Response PlanningLLM agents and tool use → Social simulation and multi-agent debate
- Efficient-VLN: A Simple yet Strong Baseline for Efficient Vision-Language NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Investigating The Functional Roles of Attention Heads in Vision Language Models: Evidence for Reasoning ModulesLLM reasoning → Multimodal reasoning +1
- Reverse Thinking Enhances Missing Information Detection in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- MR-FlowDPO: Multi-Reward Direct Preference Optimization for Flow-Matching Text-to-Music GenerationDiffusion models → Audio, speech and music
- RobustSora: De-Watermarked Benchmark for Robust AI-Generated Video DetectionLLM safety and security → Watermarking generated content and models
- Multi-dimensional Preference Alignment by Conditioning Reward ItselfDiffusion models → Diffusion and flow policies for robotics +1
- Task-Oriented Grasping Using Reinforcement Learning with a Contextual Reward MachineDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Latent Chain-of-Thought World Modeling for End-to-End DrivingWorld models → World models for autonomous driving +3
- Does SWE-Bench-Verified Test Agent Ability or Model Memory?LLM agents and tool use → Software engineering coding agents
- An exploration for higher efficiency in multi objective optimisation with reinforcement learningDeep reinforcement learning methods → RL for games and combinatorial optimization
- AutoMedic: An Automated Evaluation Framework for Clinical Conversational Agents with Medical Dataset GroundingLLM agents and tool use → Medical and scientific domain agents
- MINIF2F-DAFNY: LLM-Guided Mathematical Theorem Proving via Auto-Active VerificationLLM reasoning → Mathematical reasoning
- Watermarks for Language Models via Probabilistic AutomataLLM safety and security → Watermarking generated content and models
All 344
- Reading or Reasoning? Format Decoupled Reinforcement Learning for Document OCR
- HLS4PC: A Parametrizable Framework For Accelerating Point-Based 3D Point Cloud Models on FPGA
- SlimEdge: Performance and Device Aware Distributed DNN Deployment on Resource-Constrained Edge Hardware
- ASK: Adaptive Self-improving Knowledge Framework for Audio Text Retrieval
- Risk-Aware Financial Forecasting Enhanced by Machine Learning and Intuitionistic Fuzzy Multi-Criteria Decision-Making
- chatter: a Python library for applying information theory and AI/ML models to animal communication
- TAO-Net: Two-stage Adaptive OOD Classification Network for Fine-grained Encrypted Traffic Classification
- A Special Case of Quadratic Extrapolation Under the Neural Tangent Kernel
- Inference Time Feature Injection: A Lightweight Approach for Real-Time Recommendation Freshness
- Where to Explore: A Reach and Cost-Aware Approach for Unbiased Data Collection in Recommender Systems
- FloraForge: LLM-Assisted Procedural Generation of Editable and Analysis-Ready 3D Plant Geometric Models For Agricultural Applications
- Vibe Coding in Practice: Flow, Technical Debt, and Guidelines for Sustainable Use
- A fine-grained look at causal effects in causal spaces
- Robustness of Probabilistic Models to Low-Quality Data: A Multi-Perspective Analysis
- Bandwidth-constrained Variational Message Encoding for Cooperative Multi-agent Reinforcement Learning
- Harnessing Rich Multi-Modal Data for Spatial-Temporal Homophily-Embedded Graph Learning Across Domains and Localities
- Classifying High-Energy Celestial Objects with Machine Learning Methods
- Causal Judge Evaluation: Calibrated Surrogate Metrics for LLM Systems
- SENSE: Self-Supervised Neural Embeddings for Spatial Ensembles
- Learning complete and explainable visual representations from itemized text supervision
- Autotune: fast, accurate, and automatic tuning parameter selection for Lasso
- The Vekua Layer: Exact Physical Priors for Implicit Neural Representations via Generalized Analytic Functions
- Fairness-Regularized Online Optimization with Switching Costs
- Refining Graphical Neural Network Predictions Using Flow Matching for Optimal Power Flow with Constraint-Satisfaction Guarantee
- Generative Manifold Distillation: Aligning Restoration Trajectories with Natural Image Prior
- In-Context Multi-Objective Optimization
- FIBER: A Multilingual Evaluation Resource for Factual Inference Bias
- Explanation Bias is a Product: Revealing the Hidden Lexical and Position Preferences in Post-Hoc Feature Attribution
- Information-driven Fusion of Pathology Foundation Models for Enhanced Disease Characterization
- Vision-Language Models for Infrared Industrial Sensing in Additive Manufacturing Scene Description
- Investigating ECG Diagnosis with Ambiguous Labels using Partial Label Learning
- TPV: Parameter Perturbations Through the Lens of Test Prediction Variance
- Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification
- Memoryless Policy Iteration for Episodic POMDPs
- Provable Recovery of Locally Important Signed Features and Interactions from Random Forest
- Applying NLP to iMessages: Understanding Topic Avoidance, Responsiveness, and Sentiment
- A probabilistic framework for crystal structure denoising, phase classification, and order parameters
- E-CHUM: Event-based Cameras for Human Detection and Urban Monitoring
- Fast, accurate measurement of the worker populations of honey bee colonies using deep learning
- MultiScript30k: Leveraging Multilingual Embeddings to Extend Cross Script Parallel Data
- KathDB: Explainable Multimodal Database Management System with Human-AI Collaboration
- An Efficient Variant of One-Class SVM with Lifelong Online Learning Guarantees
- WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control
- SoccerMaster: A Vision Foundation Model for Soccer Understanding
- Leveraging Text Guidance for Enhancing Demographic Fairness in Gender Classification
- PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data
- StereoSpace: Depth-Free Synthesis of Stereo Geometry via End-to-End Diffusion in a Canonical Space
- SceneMaker: Open-set 3D Scene Generation with Decoupled De-occlusion and Pose Estimation Model
- Stereo4DWalker: Learning 4D-aware Embodied Urban Navigation from Internet Stereo Videos
- Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization
- Bidirectional Normalizing Flow: From Data to Noise and Back
- Hierarchical Dataset Selection for High-Quality Data Sharing
- E-RayZer: Self-supervised 3D Reconstruction as Spatial Visual Pre-training
- Are We Ready for RL in Text-to-3D Generation? A Progressive Investigation
- ClusIR: Towards Cluster-Guided All-in-One Image Restoration
- MeViS: A Multi-Modal Dataset for Referring Motion Expression Video Segmentation
- Mull-Tokens: Modality-Agnostic Latent Thinking
- GaussianHeadTalk: Wobble-Free 3D Talking Heads with Audio Driven Gaussian Splatting
- Stronger Normalization-Free Transformers
- Agent policies from higher-order causal functions
- Empirical evaluation of the Frank-Wolfe methods for constructing white-box adversarial attacks
- Any4D: Unified Feed-Forward Metric 4D Reconstruction
- BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models
- Noisy Quantum Learning Theory
- Decoupled Q-Chunking
- SparseSwaps: Tractable LLM Pruning Mask Refinement at Scale
- CompanionCast: Toward Social Collaboration with Multi-Agent Systems in Shared Experiences
- Hermitian Yang--Mills connections on general vector bundles: geometry and physical Yukawa couplings
- Distributionally Robust Regret Optimal Control Under Moment-Based Ambiguity Sets
- LLMs Can Assist with Proposal Selection at Large User Facilities
- Iterative Compositional Data Generation for Robot Control
- PubTables-v2: A new large-scale dataset for full-page and multi-page table extraction
- Physics-Informed Learning of Flow Distribution and Receiver Heat Losses in Parabolic Trough Solar Fields
- Computational emotion analysis with multimodal LLMs: Current evidence on an emerging methodological opportunity
- MoCapAnything: Unified 3D Motion Capture for Arbitrary Skeletons from Monocular Videos
- Classifier Reconstruction Through Counterfactual-Aware Wasserstein Prototypes
- A Differentiable Digital Twin of Distributed Link Scheduling for Contention-Aware Networking
- Physics-informed Polynomial Chaos Expansion with Enhanced Constrained Optimization Solver and D-optimal Sampling
- UrbanAI 2025 Challenge: Linear vs Transformer Models for Long-Horizon Exogenous Temperature Forecasting
- Quantifying Emotional Tone in Tolkien's The Hobbit: Dialogue Sentiment Analysis with RegEx, NRC-VAD, and Python
- MMSI-Video-Bench: A Holistic Benchmark for Video-Based Spatial Intelligence
- SWiT-4D: Sliding-Window Transformer for Lossless and Parameter-Free Temporal 4D Generation
- Generative Modeling from Black-box Corruptions via Self-Consistent Stochastic Interpolants
- Bayesian Symbolic Regression via Posterior Sampling
- PoseGAM: Robust Unseen Object Pose Estimation via Geometry-Aware Multi-View Reasoning
- An Elementary Proof of the Near Optimality of LogSumExp Smoothing
- Agile Deliberation: Concept Deliberation for Subjective Visual Classification
- Deep sets and event-level maximum-likelihood estimation for fast pile-up jet rejection in ATLAS
- Self-Ensemble Post Learning for Noisy Domain Generalization
- Extrapolation of Periodic Functions Using Binary Encoding of Continuous Numerical Values
- Quantum Approaches to Urban Logistics: From Core QAOA to Clustered Scalability
- Graph Laplacian Transformer with Progressive Sampling for Prostate Cancer Grading
- HAROOD: A Benchmark for Out-of-distribution Generalization in Sensor-based Human Activity Recognition
- What matters for Representation Alignment: Global Information or Spatial Structure?
- LabelFusion: Fusing Large Language Models with Transformer Encoders for Robust Financial News Classification
- The FACTS Leaderboard: A Comprehensive Benchmark for Large Language Model Factuality
- Natural Language Interface for Firewall Configuration
- Developing an LLM-Based Feedback System Grounded in Evidence-Centered Design to Support Physics Problem Solving
- Script Gap: Evaluating LLM Triage on Indian Languages in Native vs Romanized Scripts in a Real World Setting
- Grow Up and Merge: Scaling Strategies for Efficient Language Adaptation
- Template-Free Retrosynthesis with Graph-Prior Augmented Transformers
- Blood Pressure Prediction for Coronary Artery Disease Diagnosis using Coronary Computed Tomography Angiography
- Designing AI-Resilient Assessments Using Interconnected Problems: A Theoretically Grounded and Empirically Validated Framework
- LDP: Parameter-Efficient Fine-Tuning of Multimodal LLM for Medical Report Generation
- PMB-NN: Physiology-Centred Hybrid AI for Personalized Hemodynamic Monitoring from Photoplethysmography
- TRIDENT: A Redundant Architecture for Caribbean-Accented Emergency Speech Triage
- LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
- Textual Data Bias Detection and Mitigation -- An Extensible Pipeline with Experimental Evaluation
- IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation
- Video Depth Propagation
- Generalized Spherical Neural Operators: Green's Function Formulation
- Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality
- CheXmask-U: Quantifying uncertainty in landmark-based anatomical segmentation for X-ray images
- PACIFIC: a framework for generating benchmarks to check Precise Automatically Checked Instruction Following In Code
- COMPARE: Clinical Optimization with Modular Planning and Assessment via RAG-Enhanced AI-OCT: Superior Decision Support for Percutaneous Coronary Intervention Compared to ChatGPT-5 and Junior Operators
- HybridVFL: Disentangled Feature Learning for Edge-Enabled Vertical Federated Multimodal Classification
- Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition
- Sharp Monocular View Synthesis in Less Than a Second
- Optimal transport unlocks end-to-end learning for single-molecule localization
- Geo6DPose: Fast Zero-Shot 6D Object Pose Estimation via Geometry-Filtered Feature Matching
- Learning by Analogy: A Causal Framework for Composition Generalization
- XDen-1K: A Density Field Dataset of Real-World Objects
- DCFO: Density-Based Counterfactuals for Outliers -- Additional Material
- Token Sample Complexity of Attention
- Virtual camera detection: Catching video injection attacks in remote biometric systems
- TriDF: Evaluating Perception, Detection, and Hallucination for Interpretable DeepFake Detection
- Refinement Contrastive Learning of Cell-Gene Associations for Unsupervised Cell Type Identification
- Adaptive Intrusion Detection System Leveraging Dynamic Neural Models with Adversarial Learning for 5G/6G Networks
- Supporting Migration Policies with Forecasts: Illegal Border Crossings in Europe through a Mixed Approach
- Unified Smart Factory Model: A model-based Approach for Integrating Industry 4.0 and Sustainability for Manufacturing Systems
- From Data Scarcity to Data Care: Reimagining Language Technologies for Serbian and other Low-Resource Languages
- K-Track: Kalman-Enhanced Tracking for Accelerating Deep Point Trackers on Edge Devices
- DOCR-Inspector: Fine-Grained and Automated Evaluation of Document Parsing with VLM
- Lang2Motion: Bridging Language and Motion through Joint Embedding Spaces
- Phythesis: Physics-Guided Evolutionary Scene Synthesis for Energy-Efficient Data Center Design via LLMs
- Robust Multi-Disease Retinal Classification via Xception-Based Transfer Learning and W-Net Vessel Segmentation
- Track and Caption Any Motion: Open-Vocabulary Spatiotemporal Captioning via Trajectory-Conditioned Generation
- Uncertainty-Preserving QBNNs: Multi-Level Quantization of SVI-Based Bayesian Neural Networks for Image Classification
- Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs
- Beyond Pixels: A Training-Free, Text-to-Text Framework for Remote Sensing Image Retrieval
- Salient Object Detection in Complex Weather Conditions via Noise Indicators
- THeGAU: Type-Aware Heterogeneous Graph Autoencoder and Augmentation
- Topology-Guided Quantum GANs for Constrained Graph Generation
- Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning
- AVI-Edit: Audio-sync Video Instance Editing with Granularity-Aware Mask Refiner
- Flexible Deep Neural Networks for Partially Linear Survival Data: Estimation and Survival Inference
- NormCode: A Semi-Formal Language for Auditable AI Planning
- Data-Efficient American Sign Language Recognition via Few-Shot Prototypical Networks
- LLM-Auction: Generative Auction towards LLM-Native Advertising
- XDoGE: Multilingual Data Reweighting to Enhance Language Inclusivity in LLMs
- Disentangled and Distilled Encoder for Out-of-Distribution Reasoning with Rademacher Guarantees
- Take a Peek: Efficient Encoder Adaptation for Few-Shot Semantic Segmentation via LoRA
- 3D Blood Pulsation Maps
- Hyperspectral Image Data Reduction for Endmember Extraction
- Robust Shape from Focus via Multiscale Directional Dilated Laplacian and Recurrent Network
- From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection
- T-SKM-Net: Trainable Neural Network Framework for Linear Constraint Satisfaction via Sampling Kaczmarz-Motzkin Method
- Hybrid Physics-ML Model for Forward Osmosis Flux with Complete Uncertainty Quantification
- Grammaticality Judgments in Humans and Language Models: Revisiting Generative Grammar with LLMs
- Metacognitive Sensitivity for Test-Time Dynamic Model Selection
- Error-Propagation-Free Learned Video Compression With Dual-Domain Progressive Temporal Alignment
- Maximum Risk Minimization with Random Forests
- Enhancing Next-Generation Language Models with Knowledge Graphs: Extending Claude, Mistral IA, and GPT-4 via KG-BERT
- An M-Health Algorithmic Approach to Identify and Assess Physiotherapy Exercises in Real Time
- Semantic Reconstruction of Adversarial Plagiarism: A Context-Aware Framework for Detecting and Restoring "Tortured Phrases" in Scientific Literature
- Representation of the structure of graphs by sequences of instructions
- Renormalizable Spectral-Shell Dynamics as the Origin of Neural Scaling Laws
- Neural Collapse in Test-Time Adaptation
- TransLocNet: Cross-Modal Attention for Aerial-Ground Vehicle Localization with Contrastive Learning
- Beyond Endpoints: Path-Centric Reasoning for Vectorized Off-Road Network Extraction
- SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Processing
- MultiHateLoc: Towards Temporal Localisation of Multimodal Hate Content in Online Videos
- Supervised Learning of Random Neural Architectures Structured by Latent Random Fields on Compact Boundaryless Multiply-Connected Manifolds
- BRACE: A Benchmark for Robust Audio Caption Quality Evaluation
- The Eminence in Shadow: Exploiting Feature Boundary Ambiguity for Robust Backdoor Attacks
- Diffusion differentiable resampling
- Cross-modal Retrieval Models for Stripped Binary Analysis
- Fitting magnetization data using continued fraction of straight lines
- The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation
- Adaptive Dual-Weighted Gravitational Point Cloud Denoising Method
- Self-Supervised Contrastive Embedding Adaptation for Endoscopic Image Matching
- RaLiFlow: Scene Flow Estimation with 4D Radar and LiDAR Point Clouds
- Neural personal sound zones with flexible bright zone control
- D2M: A Decentralized, Privacy-Preserving, Incentive-Compatible Data Marketplace for Collaborative Learning
- LLM-Empowered Representation Learning for Emerging Item Recommendation
- Breaking the Vicious Cycle: Coherent 3D Gaussian Splatting from Sparse and Motion-Blurred Views
- Point to Span: Zero-Shot Moment Retrieval for Navigating Unseen Hour-Long Videos
- mmCounter: Static People Counting in Dense Indoor Scenarios Using mmWave Radar
- Better Prevent than Tackle: Valuing Defense in Soccer Based on Graph Neural Networks
- Topology-Agnostic Animal Motion Generation from Text Prompt
- A Privacy-Preserving Cloud Architecture for Distributed Machine Learning at Scale
- Learning Ordinal Degradation Representations with Textual Priors for Diffusion-Based Blind Image Super-Resolution
- On the Collapse of Generative Paths: A Criterion and Correction for Diffusion Steering
- Multilingual VLM Training: Adapting an English-Trained VLM to French
- A Conditional Generative Framework for Synthetic Data Augmentation in Segmenting Thin and Elongated Structures in Biological Images
- Simple Yet Effective Selective Imputation for Incomplete Multi-view Clustering
- StainNet: Scaling Self-Supervised Foundation Models on Immunohistochemistry and Special Stains for Computational Pathology
- Residual subspace evolution strategies for nonlinear inverse problems
- User-Feedback-Driven Adaptation for Vision-and-Language Navigation
- Point2Pose: A Generative Framework for 3D Human Pose Estimation with Multi-View Point Cloud Dataset
- Design of a six wheel suspension and a three-axis linear actuation mechanism for a laser weeding robot
- Translating Informal Proofs into Formal Proofs Using a Chain of States
- ConStruct: Structural Distillation of Foundation Models for Prototype-Based Weakly Supervised Histopathology Segmentation
- DualProtoSeg: Simple and Efficient Design with Text- and Image-Guided Prototype Learning for Weakly Supervised Histopathology Image Segmentation
- High-Dimensional Data Processing: Benchmarking Machine Learning and Deep Learning Architectures in Local and Distributed Environments
- Tracking large chemical reaction networks and rare events by neural networks
- An Interpretable AI Tool for SAVR vs TAVR in Low to Intermediate Risk Patients with Severe Aortic Stenosis
- InfoCom: Kilobyte-Scale Communication-Efficient Collaborative Perception with Information Bottleneck
- Trustworthy Orchestration Artificial Intelligence by the Ten Criteria with Control-Plane Governance
- FLARE: A Wireless Side-Channel Fingerprinting Attack on Federated Learning
- Physically Aware 360^circ View Generation from a Single Image using Disentangled Scene Embeddings
- A Kernel-based Resource-efficient Neural Surrogate for Multi-fidelity Prediction of Aerodynamic Field
- ShotDirector: Directorially Controllable Multi-Shot Video Generation with Cinematographic Transitions
- MotionEdit: Benchmarking and Learning Motion-Centric Image Editing
- Neuronal Attention Circuit (NAC) for Representation Learning
- Graph Neural Network Based Adaptive Threat Detection for Cloud Identity and Access Management Logs
- Computing Evolutionarily Stable Strategies in Imperfect-Information Games
- Sample-wise Adaptive Weighting for Transfer Consistency in Adversarial Distillation
- Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters
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- Error Analysis of Generalized Langevin Equations with Approximated Memory Kernels
- GDKVM: Echocardiography Video Segmentation via Spatiotemporal Key-Value Memory with Gated Delta Rule
- THE-Pose: Topological Prior with Hybrid Graph Fusion for Estimating Category-Level 6D Object Pose
- Solving Semi-Supervised Few-Shot Learning from an Auto-Annotation Perspective
- Design Space Exploration of DMA based Finer-Grain Compute Communication Overlap
- InFerActive: Interactive Tree-Based Exploration of LLM Sampling for Safety Evaluation
- Emerging Standards for Machine-to-Machine Video Coding
- Adaptive Information Routing for Multimodal Time Series Forecasting
- Federated Domain Generalization with Latent Space Inversion
- Galaxy Phase-Space and Field-Level Cosmology: The Strength of Semi-Analytic Models
- On Learning-Curve Monotonicity for Maximum Likelihood Estimators
- ID-PaS+ : Identity-Aware Predict-and-Search for General Mixed-Integer Linear Programs
- Feature Coding for Scalable Machine Vision
- CP-Env: Evaluating Large Language Models on Clinical Pathways in a Controllable Hospital Environment
- Exact Recovery of Non-Random Missing Multidimensional Time Series via Temporal Isometric Delay-Embedding Transform
- The Interplay of Statistics and Noisy Optimization: Learning Linear Predictors with Random Data Weights
- Topology Identification and Inference over Graphs
- Assessing Neuromorphic Computing for Fingertip Force Decoding from Electromyography
- CIEGAD: Cluster-Conditioned Interpolative and Extrapolative Framework for Geometry-Aware and Domain-Aligned Data Augmentation
- Offscript: Automated Auditing of Instruction Adherence in LLMs
- Semantic-Aware Confidence Calibration for Automated Audio Captioning
- The 2025 Foundation Model Transparency Index