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AcceRL: A Distributed Asynchronous Reinforcement Learning and World Model Framework for Vision-Language-Action Models
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MedQ-UNI: Toward Unified Medical Image Quality Assessment and Restoration via Vision-Language Modeling
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Recolour What Matters: Region-Aware Colour Editing via Token-Level Diffusion
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GAIN: A Benchmark for Goal-Aligned Decision-Making of Large Language Models under Imperfect Norms
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Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding
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Do Post-Training Algorithms Actually Differ? A Controlled Study Across Model Scales Uncovers Scale-Dependent Ranking Inversions
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WASD: Locating Critical Neurons as Sufficient Conditions for Explaining and Controlling LLM Behavior
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UniFluids: Unified Neural Operator Learning with Conditional Flow-matching
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Do Vision Language Models Understand Human Engagement in Games?
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T-QPM: Enabling Temporal Out-Of-Distribution Detection and Domain Generalization for Vision-Language Models in Open-World
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The Truncation Blind Spot: How Decoding Strategies Systematically Exclude Human-Like Token Choices
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Precise Performance of Linear Denoisers in the Proportional Regime
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Diffusion-Guided Semantic Consistency for Multimodal Heterogeneity
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Collaborative Adaptive Curriculum for Progressive Knowledge Distillation
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TexEditor: Structure-Preserving Text-Driven Texture Editing
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EntropyCache: Decoded Token Entropy Guided KV Caching for Diffusion Language Models
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AIMER: Calibration-Free Task-Agnostic MoE Pruning
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FILT3R: Latent State Adaptive Kalman Filter for Streaming 3D Reconstruction
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Cross-Domain Demo-to-Code via Neurosymbolic Counterfactual Reasoning
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NymeriaPlus: Enriching Nymeria Dataset with Additional Annotations and Data
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Recovering Sparse Neural Connectivity from Partial Measurements: A Covariance-Based Approach with Granger-Causality Refinement
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Efficient Video Diffusion with Sparse Information Transmission for Video Compression
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HOMEY: Heuristic Object Masking with Enhanced YOLO for Property Insurance Risk Detection
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From Snapshots to Symphonies: The Evolution of Protein Prediction from Static Structures to Generative Dynamics and Multimodal Interactions
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Expert Personas Improve LLM Alignment but Damage Accuracy: Bootstrapping Intent-Based Persona Routing with PRISM
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Foundations and Architectures of Artificial Intelligence for Motor Insurance
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OnlinePG: Online Open-Vocabulary Panoptic Mapping with 3D Gaussian Splatting
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CAFlow: Adaptive-Depth Single-Step Flow Matching for Efficient Histopathology Super-Resolution
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On the Peril of (Even a Little) Nonstationarity in Satisficing Regret Minimization
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Counting Circuits: Mechanistic Interpretability of Visual Reasoning in Large Vision-Language Models
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3DreamBooth: High-Fidelity 3D Subject-Driven Video Generation Model
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Correlation-Weighted Multi-Reward Optimization for Compositional Generation
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When Names Change Verdicts: Intervention Consistency Reveals Systematic Bias in LLM Decision-Making
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Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds
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Balancing the Reasoning Load: Difficulty-Differentiated Policy Optimization with Length Redistribution for Efficient and Robust Reinforcement Learning
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Data-efficient pre-training by scaling synthetic megadocs
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Transformer-Based Predictive Maintenance for Risk-Aware Instrument Calibration
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Beyond Passive Aggregation: Active Auditing and Topology-Aware Defense in Decentralized Federated Learning
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iSatCR: Graph-Empowered Joint Onboard Computing and Routing for LEO Data Delivery
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GAPSL: A Gradient-Aligned Parallel Split Learning on Heterogeneous Data
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Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection
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SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement
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CoDA: Exploring Chain-of-Distribution Attacks and Post-Hoc Token-Space Repair for Medical Vision-Language Models
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HEP Statistical Inference for UAV Fault Detection: CLs, LRT, and SBI Applied to Blade Damage
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SINDy-KANs: Sparse identification of non-linear dynamics through Kolmogorov-Arnold networks
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Learning Decision-Sufficient Representations for Linear Optimization
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End-to-End QGAN-Based Image Synthesis via Neural Noise Encoding and Intensity Calibration
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Cross-Lingual LLM-Judge Transfer via Evaluation Decomposition
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HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering
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CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention
