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ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs

Year: 2026

Type: conference-paper

Abstract: Hongxin Ding, Baixiang Huang, Yue Fang, Weibin Liao, Xinke Jiang, Jinyang Zhang, Yinghao Zhu, Zheng Li, Liantao Ma, Junfeng Zhao, Yasha Wang. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.

Source: Proceedings of the conference - Association for Computational Linguistics. Meeting

DOI: 10.18653/v1/2026.acl-long.1500

Authors: Hongxin Ding, Baixiang Huang, Yue Fang, Weibin Liao, Xinke Jiang, Jinyang Zhang, Yinghao Zhu, Zheng Li, Liantao Ma, Junfeng Zhao, Yasha Wang

Institutions: University of Hong Kong, Peking University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

Open Access status: hybrid

Funders: National Natural Science Foundation of China, Peking University, National Science and Technology Major Project

Awards: G1768663197, G1900704574, G2534963980, G5033503387, G860390484

OpenAlex ID: W4414992048

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