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Subject-Specific Low-Field MRI Synthesis via a Neural Operator
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PASDiff: Physics-Aware Semantic Guidance for Joint Real-world Low-Light Face Enhancement and Restoration
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DSO: Dual-Scale Neural Operators for Stable Long-term Fluid Dynamics Forecasting
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The Value of Information in Resource-Constrained Pricing
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LLM-Driven Reasoning for Constraint-Aware Feature Selection in Industrial Systems
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Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection
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MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models
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Few-Shot Left Atrial Wall Segmentation in 3D LGE MRI via Meta-Learning
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Rethinking Health Agents: From Siloed AI to Collaborative Decision Mediators
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Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model
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Towards Video Anomaly Detection from Event Streams: A Baseline and Benchmark Datasets
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Sparse-by-Design Cross-Modality Prediction: L0-Gated Representations for Reliable and Efficient Learning
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C2W-Tune: Cavity-to -Wall Transfer Learning for Thin Atrial Wall Segmentation in 3D Late Gadolinium-enhanced Magnetic Resonance
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Relaxed Rigidity with Ray-based Grouping for Dynamic Gaussian Splatting
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Efficient Detection of Bad Benchmark Items with Novel Scalability Coefficients
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CANGuard: A Spatio-Temporal CNN-GRU-Attention Hybrid Architecture for Intrusion Detection in In-Vehicle CAN Networks
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Distributed Real-Time Vehicle Control for Emergency Vehicle Transit: A Scalable Cooperative Method
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Rethinking Failure Attribution in Multi-Agent Systems: A Multi-Perspective Benchmark and Evaluation
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Interpretable Zero-shot Referring Expression Comprehension with Query-driven Scene Graphs
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Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning
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Few TensoRF: Enhance the Few-shot on Tensorial Radiance Fields
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A Systematic Empirical Study of Grokking: Depth, Architecture, Activation, and Regularization
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Imperative Interference: Social Register Shapes Instruction Topology in Large Language Models
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GDPO-Listener: Expressive Interactive Head Generation via Auto-Regressive Flow Matching and Group reward-Decoupled Policy Optimization
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VideoTIR: Accurate Understanding for Long Videos with Efficient Tool-Integrated Reasoning
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A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures
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Consistency Amplifies: How Behavioral Variance Shapes Agent Accuracy
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Improving Infinitely Deep Bayesian Neural Networks with Nesterov's Accelerated Gradient Method
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System-Anchored Knee Estimation for Low-Cost Context Window Selection in PDE Forecasting
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CARE: Training-Free Controllable Restoration for Medical Images via Dual-Latent Steering
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Optimal High-Probability Regret for Online Convex Optimization with Two-Point Bandit Feedback
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From Stateless to Situated: Building a Psychological World for LLM-Based Emotional Support
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Epistemic Compression: The Case for Deliberate Ignorance in High-Stakes AI
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Mechanistically Interpreting Compression in Vision-Language Models
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GeoNDC: A Queryable Neural Data Cube for Planetary-Scale Earth Observation
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Uncertainty Quantification for Quantum Computing
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Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
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MoRGS: Efficient Per-Gaussian Motion Reasoning for Streamable Dynamic 3D Scenes
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MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting
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Approaches to Analysing Historical Newspapers Using LLMs
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Closing the Confidence-Faithfulness Gap in Large Language Models
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GaussFusion: Improving 3D Reconstruction in the Wild with A Geometry-Informed Video Generator
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Synergistic Event-SVE Imaging for Quantitative Propellant Combustion Diagnostics
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The System Prompt Is the Attack Surface: How LLM Agent Configuration Shapes Security and Creates Exploitable Vulnerabilities
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Learning Explicit Continuous Motion Representation for Dynamic Gaussian Splatting from Monocular Videos
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SIGMA: Structure-Invariant Generative Molecular Alignment for Chemical Language Models via Autoregressive Contrastive Learning
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TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization
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Evaluating Synthetic Images as Effective Substitutes for Experimental Data in Surface Roughness Classification
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Ultra-fast Traffic Nowcasting and Control via Differentiable Agent-based Simulation
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An Explainable Ensemble Learning Framework for Crop Classification with Optimized Feature Pyramids and Deep Networks
