General-Science
Block Cascading: Training Free Acceleration of Block-Causal Video Models
Cognitive Inception: Agentic Reasoning against Visual Deceptions by Injecting Skepticism
DOGE: Differentiable Bezier Graph Optimization for Road Network Extraction
DRAFT-RL: Multi-Agent Chain-of-Draft Reasoning for Reinforcement Learning-Enhanced LLMs
DUO-TOK: Dual-Track Semantic Music Tokenizer for Vocal-Accompaniment Generation
Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection
Evaluating the Performance of Deep Learning Models in Whole-body Dynamic 3D Posture Prediction During Load-reaching Activities
Findings of the BlackboxNLP 2025 Shared Task: Localizing Circuits and Causal Variables in Language Models
Foundations of Artificial Intelligence Frameworks: Notion and Limits of AGI
FRAGMENTA: End-to-end Fragmentation-based Generative Model with Agentic Tuning for Drug Lead Optimization
Generation, Evaluation, and Explanation of Novelists' Styles with Single-Token Prompts
Interactive AI NPCs Powered by LLMs: Technical Report for the CPDC Challenge 2025
LAYER: A Quantitative Explainable AI Framework for Decoding Tissue-Layer Drivers of Myofascial Low Back Pain
MIMIC-MJX: Neuromechanical Emulation of Animal Behavior
Mitigating hallucinations and omissions in LLMs for invertible problems: An application to hardware logic design automation
Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation
OmniAlpha: A Sequence-to-Sequence Framework for Unified Multi-Task RGBA Generation
Pedestrian Crossing Intention Prediction Using Multimodal Fusion Network
Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks
Quantifying the Privacy Implications of High-Fidelity Synthetic Network Traffic
Ranking-Enhanced Anomaly Detection Using Active Learning-Assisted Attention Adversarial Dual AutoEncoders
Reconstruction-Driven Multimodal Representation Learning for Automated Media Understanding