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• Beta Distribution Learning for Reliable Roadway Crash Risk Assessment
• Vision Transformers are Circulant Attention Learners
• GryphOne: Symbol-Aware Masked Diffusion for Structural Refinement in Offline Handwritten Mathematical Expression Recognition
• Stable diffusion models reveal a persisting human and AI gap in visual creativity
• Ensuring Safe Physical AI in Urban Mobility via Hazard-Informed Synthesized Envelopes
• OwlerLite: Scope- and Freshness-Aware Web Retrieval for LLM Assistants
• RAFT: A Stateful Retrieval-Augmented Framework for Troubleshooting Agents
• Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations
• Less Is More, but Where? Dynamic Token Compression via LLM-Guided Keyframe Prior
• BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning
• PeakFlow: Peak-Guided Coarse-to-Refined Modeling for EEG-Based Dynamic Affective Trajectory Prediction
• Manipulation-Proof Oblivious Audits against Deceptive Model Providers
• Structure-Conditional Minimum Bayes Risk Decoding
• Building Reasonable Inference for Vision-Language Models in Blind Image Quality Assessment
• Why Attention Patterns Exist: A Unifying Temporal Perspective Analysis
• Total Variation Distance Estimation in Autoregressive Models
• Can Protective Watermarking Safeguard the Copyright of 3D Gaussian Splatting?
• RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty
• Hail to the Thief: Exploring Attacks and Defenses in Decentralised GRPO
• A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata
• EEG-FM-Compass: Progress, Benchmarking, and Future Directions for EEG Foundation Models
• Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification
• Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion
• SVG-T2I: Scaling Up Text-to-Image Latent Diffusion Model Without Variational Autoencoder
• Energy Loss Functions for Physical Systems
• Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
• CAPC-CG: A Large-Scale, Expert-Directed LLM-Annotated Corpus of Adaptive Policy Communication in China
• 3M-TI: High-Quality Mobile Thermal Imaging via Calibration-free Multi-Camera Cross-Modal Diffusion
• Accelerating Masked Diffusion Large Language Models: A Survey of Efficient Inference Techniques
• CascadeMind at SemEval-2026 Task 4: A Hybrid Neuro-Symbolic Cascade for Narrative Similarity
• When AI Agents Compete for Jobs: Strategic Capabilities and Economic Dynamics of AI Labour Markets
• Mitigating Error Accumulation in Continuous Navigation via Memory-Augmented Kalman Filtering
• A Novel Approach to Breast Cancer Segmentation using U-Net Model with Attention Mechanisms and FedProx
• PartUV: Part-Based UV Unwrapping of 3D Meshes
• Toward Machine Translation Literacy: How Lay Users Perceive and Rely on Imperfect Translations
• Extreme Event Aware ($η$-) Learning
• Stable and Scalable Bundle Adjustment of Holistic 3D Structures
• VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning
• TalentCLEF at CLEF2026: Skill and Job Title Intelligence for Human Capital Management
• Generalized Audio-Driven Synthesis of Precise Drummer Motion