arXiv cs.CL· Qiyuan Li, Xiaomei Guo, Chao Gao, Haijiang Liu, Deyu Chen, Caicai Guo, Jinguang Gu·· 12 小时前AI 评分24
CoRPS-Dial：解耦患者人设与临床流程的双智能体真实医疗对话生成框架
Decoupling Patient Personas and Clinical Workflows: A Dual-Agent Approach to Realistic Medical Dialogue Generation
AI 导读
CoRPS-Dial 是一个可控的双智能体框架，通过人设驱动的患者智能体与流程引导的医生智能体交互合成预诊医疗对话，并辅以角色一致性、流程完整性和文本一致性的后置质控。在冠心病数据上的实验显示，该方法在信息覆盖、临床合规性和对话自然度上提升了合成对话与真实对话的对齐程度，下游微调实验也验证了生成数据的实用价值。
正文 · 原文
Abstract:Pre-consultation medical dialogues are essential for collecting comprehensive patient information, but are costly to obtain at scale due to privacy and ethical constraints. Existing LLM-based synthesis methods often rely on prompt engineering or rigid rules, limiting their ability to balance clinical relevance with realistic patient diversity. We propose CoRPS-Dial, a controllable dual-agent framework for pre-consultation medical dialogue synthesis that integrates patient personas with guideline-aligned clinical workflow rules. CoRPS-Dial generates dialogues through interactions between a persona-driven patient agent and a process-guided doctor agent, followed by post-hoc quality control for role consistency, workflow completeness, and textual consistency. Experiments on coronary heart disease demonstrate that CoRPS-Dial improves alignment between synthetic and real dialogues in information coverage, clinical compliance, and dialogue naturalness. Downstream fine-tuning experiments further confirm the utility of the generated synthetic data for medical dialogue tasks. These results highlight the effectiveness of CoRPS-Dial for clinically grounded and controllable medical dialogue synthesis.
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG) |
| Cite as: | arXiv:2610.32443 [cs.CL] |
| (or arXiv:2610.32443v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.32443 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Haijiang Liu [view email]
[v1]
Fri, 23 Oct 2026 10:07:35 UTC (696 KB)
来源：arXiv cs.CL · arxiv.org