13 citations · 26 across the 18 of their papers we have counts for
6 papers · 1 filter
CARE: Causally-Aligned Reasoning Exploration for Medical Large Language Models
Yucheng Zhou, Peng Luo, Qianning Wang +2
Large Language Models (LLMs) have shown strong potential for medical reasoning, yet the scarcity and cost of expert-annotated data constrain their progress. While reinforcement lea…
Compatibility-Aware Dynamic Fine-Tuning for Large Language Models
Yucheng Zhou, Junwei Sheng, Qianning Wang +1
Supervised Fine-Tuning (SFT) is the predominant paradigm for aligning large language models (LLMs), yet it suffers from optimization instability and limited generalization. Recent…
MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration
Yucheng Zhou, Lingran Song, Jianbing Shen
Recent advancements in medical Large Language Models (LLMs) have showcased their powerful reasoning and diagnostic capabilities. Despite their success, current unified multimodal m…
Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback
Yucheng Zhou, Lingran Song, Jianbing Shen
Existing Medical Large Vision-Language Models (Med-LVLMs), encapsulating extensive medical knowledge, demonstrate excellent capabilities in understanding medical images. However, t…
Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models
Yucheng Zhou, Zhi Rao, Jun Wan +1
Large Vision-Language Models (LVLMs) excel in cross-model tasks but experience performance declines in long-context reasoning due to overreliance on textual information and reduced…
Thread of Thought Unraveling Chaotic Contexts
Yucheng Zhou, Xiubo Geng, Tao Shen +4
Large Language Models (LLMs) have ushered in a transformative era in the field of natural language processing, excelling in tasks related to text comprehension and generation. Neve…