Hongjian Zhou — accepted AI-conference papers

2025

DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning

Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xin Liu +9

EMNLP 2025

Although large language models (LLMs) have demonstrated outperforming human experts in medical examinations, it remains challenging to adopt LLMs in real-world clinical decision-making that typically involves multi-hop medical reasoning. Common practices include prompting commercial LLMs and fine-tu

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2024

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark

Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang +13

EMNLP 2024main

The adoption of large language models (LLMs) to assist clinicians has attracted remarkable attention. Existing works mainly adopt the close-ended question-answering (QA) task with answer options for evaluation. However, many clinical decisions involve answering open-ended questions without pre-set o…

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