June 21, 2024, 4:42 a.m. | Kaishuai Xu, Yi Cheng, Wenjun Hou, Qiaoyu Tan, Wenjie Li

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.13934v1 Announce Type: new
Abstract: Medical dialogue systems have attracted significant attention for their potential to act as medical assistants. Enabling these medical systems to emulate clinicians' diagnostic reasoning process has been the long-standing research focus. Previous studies rudimentarily realized the simulation of clinicians' diagnostic process by fine-tuning language models on high-quality dialogue datasets. Nonetheless, they overly focus on the outcomes of the clinician's reasoning process while ignoring their internal thought processes and alignment with clinician preferences. Our work aims …

abstract act alignment arxiv assistants attention clinicians cs.ai cs.cl diagnostic dialogue doctor enabling focus improving medical potential process reasoning research simulation studies systems the simulation type via

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