Baichuan-M4构建了可持续诊疗的医疗智能体系统，显著降低幻觉率。
Baichuan-M4: A Clinical-Grade Medical Agent System for Continuous Care
- 采用多智能体协同架构与强化学习框架，支持长期患者记忆与多模态感知
- 在多项临床评估中表现领先，幻觉率低至3.3%，长上下文记忆能力突出
- 适合医疗辅助决策、连续照护场景，尤其适用于需长期跟踪的慢病管理
Baichuan-M4是百川智能推出的临床级医学大模型，专为持续性照护设计，而非单轮问答。系统围绕三大支柱构建：Baichuan-Harness统一运行时，确保强化学习训练与真实部署一致，支持动作约束、工具调用、长期患者记忆及多智能体协作；核心推理模型基于持续照护强化学习框架，融合段落级奖励建模（SPAR++）、推理路径压缩、课程学习与稳定策略优化；临床工具层实现患者记忆管理、权威循证检索及跨文档、X光片、皮肤病图像的多模态感知。在跨维度医学评测中，该系统在静态医学知识与安全性、动态OSCE式问诊、长上下文临床记忆、循证检索、医学文档OCR及多模态图像理解等方面均达领先水平，幻觉率降至3.3%。
原文摘要 · Abstract (English)
Baichuan-M4 is Baichuan Intelligence's clinical-grade medical large model, designed for continuous care rather than single-turn medical question answering. It is built as a coordinated medical agent system around three pillars: Baichuan-Harness, a unified runtime that keeps reinforcement-learning training and real-world deployment consistent while enforcing action constraints, tool use, long-term patient memory, and multi-agent coordination; a core reasoning model trained with a continuous-care reinforcement-learning framework that integrates span-level reward modeling (SPAR++), reasoning-path compression, curriculum learning, and stabilized policy optimization; and a clinical tool layer for patient-memory management, authoritative evidence-based retrieval, and multimodal medical perception across documents, X-rays, and dermatology. On a cross-dimensional medical evaluation suite, Baichuan-M4 attains leading results in static medical knowledge and safety, dynamic OSCE-style consultation, long-context clinical memory, evidence-based retrieval, medical document OCR, and multimodal image understanding, while lowering the hallucination rate to 3.3%.
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