2 citations · 2 across the 3 of their papers we have counts for
4 papers
Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine
Chengfeng Dou, Ying Zhang, Zhi Jin +4
Evidence-based medicine (EBM) plays a crucial role in the application of large language models (LLMs) in healthcare, as it provides reliable support for medical decision-making pro…
Exploring LLM-based Data Annotation Strategies for Medical Dialogue Preference Alignment
Chengfeng Dou, Ying Zhang, Zhi Jin +4
This research examines the use of Reinforcement Learning from AI Feedback (RLAIF) techniques to improve healthcare dialogue models, with the aim of tackling the challenges of prefe…
Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback
Chengfeng Dou, Zhi Jin, Wenpin Jiao +3
The use of large language models in medical dialogue generation has garnered significant attention, with a focus on improving response quality and fluency. While previous studies h…
Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Model
Yongqiang Zhao, Zhenyu Li, Zhi Jin +6
The Multi-Modal Large Language Model (MLLM) refers to an extension of the Large Language Model (LLM) equipped with the capability to receive and infer multi-modal data. Spatial awa…