mlsanityData to 14 Oct 2026

DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation

arXiv 2308.14346 ↗First posted 28 Aug 2023cs.CL cs.AIcited by 90

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Abstract (arXiv)

We propose DISC-MedLLM, a comprehensive solution that leverages Large Language Models (LLMs) to provide accurate and truthful medical response in end-to-end conversational healthcare services. To construct high-quality Supervised Fine-Tuning (SFT) datasets, we employ three strategies: utilizing medical knowledge-graphs, reconstructing real-world dialogues, and incorporating human-guided preference rephrasing. These datasets are instrumental in training DISC-MedLLM, surpassing existing medical LLMs in both single-turn and multi-turn consultation scenarios. Extensive experimental results demonstrate the effectiveness of the proposed model in bridging the gap between general language models and real-world medical consultation. Additionally, we release the constructed dataset and model weights to further contribute to research and development. Further details and resources can be found at https://github.com/FudanDISC/DISC-MedLLM

Key facts. Cited by 90 papers in the map (data through 14 Oct 2026). Builds on 29 of its 50 references that are in the map. First posted on arXiv 28 Aug 2023.

Builds on

29 of 50 references.

References · 29

  1. 2023GPT-4 Technical Reportcited by 18,396
  2. 2022Training language models to follow instructions with human feedbackcited by 15,971
  3. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  4. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,626
  5. 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,780
  6. 2022Self-Instruct: Aligning Language Models with Self-Generated Instructionscited by 2,724
  7. 2023A Survey of Large Language Modelscited by 2,576
  8. 2020Knowledge Distillation: A Surveycited by 1,603
  9. 2023Instruction Tuning with GPT-4cited by 686
  10. 2022MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answeringcited by 543
  11. 2023Towards Expert-Level Medical Question Answering with Large Language Modelscited by 384
  12. 2023ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledgecited by 325
17 more
  1. 2023MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Datacited by 286
  2. 2023HuatuoGPT, towards Taming Language Model to Be a Doctorcited by 214
  3. 2023HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledgecited by 162
  4. 2020MedDialog: Two Large-scale Medical Dialogue Datasetscited by 161
  5. 2023DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Taskcited by 131
  6. 2023CMB: A Comprehensive Medical Benchmark in Chinesecited by 115
  7. 2021CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmarkcited by 101
  8. 2021Pre-trained Language Models in Biomedical Domain: A Systematic Surveycited by 87
  9. 2022A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasetscited by 45
  10. 2020Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognitioncited by 35
  11. 2023ChatHome: Development and Evaluation of a Domain-Specific Language Model for Home Renovationcited by 25
  12. 2021Drug Package Recommendation via Interaction-aware Graph Inductioncited by 14
  13. 2022DxFormer: A Decoupled Automatic Diagnostic System Based on Decoder-Encoder Transformer with Dense Symptom Representationscited by 10
  14. 2021Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversationscited by 9
  15. 2021Drug Recommendation System based on Sentiment Analysis of Drug Reviews using Machine Learningcited by 6
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  17. 2022Prompt-based Generative Approach towards Multi-Hierarchical Medical Dialogue State Trackingcited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 6; 2024: 40; 2025: 36; 2026: 8.

90 papers.

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  1. 2024A Survey on Knowledge Distillation of Large Language Modelscited by 284
  2. 2023Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificitycited by 206
  3. 2024AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulatorcited by 101
  4. 2024A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discoverycited by 96
  5. 2023HuatuoGPT-II, One-stage Training for Medical Adaption of LLMscited by 92
  6. 2024CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counselingcited by 89
  7. 2023Cognitive Mirage: A Review of Hallucinations in Large Language Modelscited by 84
  8. 2023DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuningcited by 64
  9. 2025A Survey on the Optimization of Large Language Model-based Agentscited by 46
  10. 2024A Survey on Data Synthesis and Augmentation for Large Language Modelscited by 41
  11. 2025Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactionscited by 40
  12. 2025MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaborationcited by 40
38 more
  1. 2024Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulatorcited by 39
  2. 2024Apollo: A Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B Peoplecited by 38
  3. 2024Large Language Models for Medicine: A Surveycited by 38
  4. 2025A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontierscited by 37
  5. 2023Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Taskscited by 36
  6. 2024A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directionscited by 34
  7. 2025LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validationcited by 34
  8. 2024ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real Worldcited by 28
  9. 2025WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMscited by 26
  10. 2023HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs Responsescited by 25
  11. 2024DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledgecited by 24
  12. 2024Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosiscited by 23
  13. 2024A Survey of Conversational Searchcited by 22
  14. 2024Leveraging Large Language Model as Simulated Patients for Clinical Educationcited by 21
  15. 2024MC-CoT: A Modular Collaborative CoT Framework for Zero-shot Medical-VQA with LLM and MLLM Integrationcited by 21
  16. 2025FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Trainingcited by 19
  17. 2025Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoningcited by 19
  18. 2024SciSafeEval: A Comprehensive Benchmark for Safety Alignment of Large Language Models in Scientific Taskscited by 18
  19. 2024Reasoning Like a Doctor: Improving Medical Dialogue Systems via Diagnostic Reasoning Process Alignmentcited by 17
  20. 2024PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applicationscited by 16
  21. 2024A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluationscited by 16
  22. 2025Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Supportcited by 16
  23. 2024ArgMed-Agents: Explainable Clinical Decision Reasoning with LLM Disscusion via Argumentation Schemescited by 13
  24. 2024BianCang: A Traditional Chinese Medicine Large Language Modelcited by 12
  25. 2025Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applicationscited by 10
  26. 2024Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedbackcited by 9
  27. 2024PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulationcited by 8
  28. 2025The Multi-Round Diagnostic RAG Framework for Emulating Clinical Reasoningcited by 8
  29. 2024MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Expertscited by 7
  30. 2024CTourLLM: Enhancing LLMs with Chinese Tourism Knowledgecited by 7
  31. 2025ShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicinecited by 7
  32. 2024Medical Dialogue: A Survey of Categories, Methods, Evaluation and Challengescited by 5
  33. 2024LLMs for Doctors: Leveraging Medical LLMs to Assist Doctors, Not Replace Themcited by 5
  34. 2024Med-PMC: Medical Personalized Multi-modal Consultation with a Proactive Ask-First-Observe-Next Paradigmcited by 5
  35. 2025FinTeam: A Multi-Agent Collaborative Intelligence System for Comprehensive Financial Scenarioscited by 5
  36. 2025Can an Individual Manipulate the Collective Decisions of Multi-Agents?cited by 5
  37. 2025EduGuardBench: A Holistic Benchmark for Evaluating the Pedagogical Fidelity and Adversarial Safety of LLMs as Simulated Teacherscited by 5
  38. 2024Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertisecited by 4

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