activity
20242026
collaborators

13 papers

cs.CV2026

MotionMERGE: A Multi-granular Framework for Human Motion Editing, Reasoning, Generation, and Explanation

Bizhu Wu, Jinheng Xie, Wenting Chen +5

Recent motion-language models unify tasks like comprehension and generation but operate at a coarse granularity, lacking fine-grained understanding and nuanced control over body pa…

cs.CL2026

Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models

Wenting Chen, Guo Yu, Yiu-Fai Cheung +5

Large language models (LLMs) show significant potential in healthcare, prompting numerous benchmarks to evaluate their capabilities. However, concerns persist regarding the reliabi…

cs.CL2026

OralAgent: Integrating Reasoning, Tools, and Knowledge for Interactive Dental Image Analysis

Jing Hao, Siyuan Dai, Yongxin Zhang +13

Dental image analysis plays a pivotal role in supporting accurate diagnosis and treatment planning in oral healthcare. Although recent advances have produced dental AI models for s…

cs.CV2026

MMedExpert-R1: Strengthening Multimodal Medical Reasoning via Domain-Specific Adaptation and Clinical Guideline Reinforcement

Meidan Ding, Jipeng Zhang, Wenxuan Wang +4

Medical Vision-Language Models (MedVLMs) excel at perception tasks but struggle with complex clinical reasoning required in real-world scenarios. While reinforcement learning (RL)…

cs.CV2025

SurvAgent: Hierarchical CoT-Enhanced Case Banking and Dichotomy-Based Multi-Agent System for Multimodal Survival Prediction

Guolin Huang, Wenting Chen, Jiaqi Yang +5

Survival analysis is critical for cancer prognosis and treatment planning, yet existing methods lack the transparency essential for clinical adoption. While recent pathology agents…

cs.CL2025

Medchain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequence

Jie Liu, Wenxuan Wang, Zizhan Ma +7

Clinical decision making (CDM) is a complex, dynamic process crucial to healthcare delivery, yet it remains a significant challenge for artificial intelligence systems. While Large…