1 citations · 1 across the 4 of their papers we have counts for
4 papers
Lessons Learned from Evaluation of LLM based Multi-agents in Safer Therapy Recommendation
Yicong Wu, Ting Chen, Irit Hochberg +4
Therapy recommendation for chronic patients with multimorbidity is challenging due to risks of treatment conflicts. Existing decision support systems face scalability limitations.…
Improving Interactive Diagnostic Ability of a Large Language Model Agent Through Clinical Experience Learning
Zhoujian Sun, Ziyi Liu, Cheng Luo +2
Recent advances in large language models (LLMs) have shown promising results in medical diagnosis, with some studies indicating superior performance compared to human physicians in…
Conversational Disease Diagnosis via External Planner-Controlled Large Language Models
Zhoujian Sun, Cheng Luo, Ziyi Liu +1
The development of large language models (LLMs) has brought unprecedented possibilities for artificial intelligence (AI) based medical diagnosis. However, the application perspecti…
Replicating Complex Dialogue Policy of Humans via Offline Imitation Learning with Supervised Regularization
Zhoujian Sun, Chenyang Zhao, Zhengxing Huang +1
Policy learning (PL) is a module of a task-oriented dialogue system that trains an agent to make actions in each dialogue turn. Imitating human action is a fundamental problem of P…