We introduce Baichuan-M3, a medical-enhanced large language model engineered to shift the paradigm from passive question-answering to active, clinical-grade decision support. Addressing the limitations of existing systems in open-ended consultations, Baichuan-M3 utilizes a specialized training pipeline to model the systematic workflow of a physician. Key capabilities include: (i) proactive information acquisition to resolve ambiguity; (ii) long-horizon reasoning that unifies scattered evidence into coherent diagnoses; and (iii) adaptive hallucination suppression to ensure factual reliability. Empirical evaluations demonstrate that Baichuan-M3 achieves state-of-the-art results on HealthBench, the newly introduced HealthBench-Hallu and ScanBench, significantly outperforming GPT-5.2 in clinical inquiry, advisory and safety. The models are publicly available at https://huggingface.co/collections/baichuan-inc/baichuan-m3.
The Dialogue That Heals: A Comprehensive Evaluation of Doctor Agents' Inquiry Capability
Department of Computer Science and Technology, Tsinghua University, China（清华大学计算机科学与技术系）；Institute for AI Industry Research (AIR), Tsinghua University, China（清华大学人工智能产业研究院）
Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries
School of Public Health, Zhejiang University School of Medicine（浙江大学医学院公共卫生学院）；Jarvis Research Center, Tencent YouTu Lab（腾讯优图实验室Jarvis研究中心）；Harvard T.H. Chan School of Public Health（哈佛大学陈曾熙公共卫生学院）；Harvard Medical School（哈佛医学院）
Leveraging Large Language Model as Simulated Patients for Clinical Education
Wangxuan Institute of Computer Technology, Peking University（北京大学王选计算机研究所）；School of Computer Science, Wuhan University（武汉大学计算机学院）；CureFun Co.（CureFun公司）
Improving Interactive Diagnostic Ability of a Large Language Model Agent Through Clinical Experience Learning
Research Center of Computational Life Science, Zhejiang Lab（浙江实验室计算生命科学研究中心）；TransTek Medical（TransTek医疗）；Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University（浙江大学医学院附属邵逸夫医院）；College of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术学院）
DongYuan: An LLM-Based Framework for Integrative Chinese and Western Medicine Spleen-Stomach Disorders Diagnosis
Beijing Wenge Technology Co., Ltd.（北京文歌科技有限公司）；Hebei Provincial Hospital of Traditional Chinese Medicine（河北省中医院）；Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；Tianjin University（天津大学）
MIND: Unified Inquiry and Diagnosis RL with Criteria Grounded Clinical Supports for Psychiatric Consultation
EverMind AI Inc.（EverMind AI公司）；EverMind AI Inc., Tianqiao and Chrissy Chen Institute（EverMind AI公司、田桥与克里斯西·陈研究所）；Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine（上海精神卫生中心、上海交通大学医学院）
Are Large Language Models Possible to Conduct Cognitive Behavioral Therapy?
School of Information Science and Engineering, Lanzhou University（兰州大学信息科学与工程学院）；School of Medical Technology, Beijing Institute of Technology（北京理工大学医学技术学院）
EyeGPT: Ophthalmic Assistant with Large Language Models
The Hong Kong Polytechnic University（香港理工大学）；Centre for Eye and Vision Research (CEVR)（眼科与视觉研究中心）；Sun Yat-sen University（中山大学）；Shanghai General Hospital（上海市第一人民医院）；Shanghai Jiao Tong University（上海交通大学）
Satisfactory Medical Consultation based on Terminology-Enhanced Information Retrieval and Emotional In-Context Learning
School of Mechanical Science and Engineering, Huazhong University of Science and Technology（华中科技大学机械科学与工程学院）；School of Computer Science, University of Warwick（华威大学计算机学院）；School of Software and Microelectronics, Peking University（北京大学软件与微电子学院）；MRC Weatherall Institute of Molecular Medicine, University of Oxford（牛津大学MRC Weatherall分子医学研究所）
Thinking Like a Botanist: Challenging Multimodal Language Models with Intent-Driven Chain-of-Inquiry
Department of Robotics and Mechatronics Engineering, University of Dhaka（达卡大学机器人与机电工程系）；Department of Computer Science and Engineering, University of Dhaka（达卡大学计算机科学与工程系）；Department of Agronomy, Gazipur Agricultural University（加兹ipur农业大学作物学系）；Department of Botany, University of Dhaka（达卡大学植物学系）
A Methodology for Explainable Large Language Models with Integrated Gradients and Linguistic Analysis in Text Classification
Bioinformatics Multidisciplinary Environment (BioME)（生物信息学多学科环境（BioME））；Digital Metropolis Institute (IMD)（数字大都市研究所（IMD））；Federal University of Rio Grande do Norte (UFRN)（北里奥格兰德联邦大学（UFRN））；Mobile Brain（移动大脑（公司））；Institute of Psychiatry (IPUB)（精神病学研究所（IPUB））；Federal University of Rio de Janeiro (UFRJ)（里约热内卢联邦大学（UFRJ））；The University of Exeter（埃克塞特大学）；Institute for Data Science and Artificial Intelligence at the University of Exeter（埃克塞特大学数据科学与人工智能研究所）；The University of Sheffield（谢菲尔德大学）；Pontifical Catholic University of Rio Grande do Sul (PUCRS)（南里奥格兰德天主教大学（PUCRS））
