mlsanityData to 7 Oct 2026

Baichuan-M4: A Clinical-Grade Medical Agent System for Continuous Care

arXiv 2606.08982 ↗First posted 8 Jun 2026cs.AIcited by 1

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Abstract (arXiv)

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%.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 30 of its 39 references that are in the map. First posted on arXiv 8 Jun 2026.

Builds on

30 of 39 references.

References · 30

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  2. 2025Qwen3 Technical Reportcited by 8,195
  3. 2025DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learningcited by 6,146
  4. 2014CIDEr: Consensus-based Image Description Evaluationcited by 2,027
  5. 2025OpenAI GPT-5 System Cardcited by 910
  6. 2026DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligencecited by 877
  7. 2025Group Sequence Policy Optimizationcited by 788
  8. 2025DeepSeek-V3.2: Pushing the Frontier of Open Large Language Modelscited by 755
  9. 2019MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographscited by 590
  10. 2025MedGemma Technical Reportcited by 398
  11. 2025HealthBench: Evaluating Large Language Models Towards Improved Human Healthcited by 385
  12. 2025Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domainscited by 328
18 more
  1. 2020COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Imagescited by 264
  2. 2025Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoningcited by 217
  3. 2021Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Datasetcited by 184
  4. 2023Med-HALT: Medical Domain Hallucination Test for Large Language Modelscited by 156
  5. 2024GREEN: Generative Radiology Report Evaluation and Error Notationcited by 124
  6. 2025Reinforcement Learning with Rubric Anchorscited by 108
  7. 2024CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formatscited by 100
  8. 2025Hulu-Med: A Transparent Generalist Model towards Holistic Medical Vision-Language Understandingcited by 96
  9. 2025Medical Hallucinations in Foundation Models and Their Impact on Healthcarecited by 89
  10. 2024Towards Conversational Diagnostic AIcited by 79
  11. 2025Baichuan-M2: Scaling Medical Capability with Large Verifier Systemcited by 55
  12. 2024ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Datasetcited by 54
  13. 2026PaddleOCR-VL-1.5: Towards a Multi-Task 0.9B VLM for Robust In-the-Wild Document Parsingcited by 54
  14. 2025Baichuan-M1: Pushing the Medical Capability of Large Language Modelscited by 41
  15. 2023MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classificationcited by 38
  16. 2025DCPO: Dynamic Clipping Policy Optimizationcited by 38
  17. 2024Medchain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequencecited by 15
  18. 2026Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-Makingcited by 10

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Citing papers per year: 2026: 1.

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  1. 2026Fathom-Vaidya: Advancing Medical Reasoning with Rubric-Based Rewards
  2. 2025MedBench v4: A Robust and Scalable Benchmark for Evaluating Chinese Medical Language Models, Multimodal Models, and Intelligent Agents
  3. 2025MedBrowseComp: Benchmarking Medical Deep Research and Computer Use
  4. 2023Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-world Multi-turn Dialogue
  5. 2024AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator
  6. 2025Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
  7. 2026Meissa: Multi-modal Medical Agentic Intelligence
  8. 2025Improving Interactive Diagnostic Ability of a Large Language Model Agent Through Clinical Experience Learning