mlsanityData to 7 Oct 2026

BianQue: Balancing the Questioning and Suggestion Ability of Health LLMs with Multi-turn Health Conversations Polished by ChatGPT

arXiv 2310.15896 ↗First posted 24 Oct 2023cs.CL cs.HCcited by 64

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Abstract (arXiv)

Large language models (LLMs) have performed well in providing general and extensive health suggestions in single-turn conversations, exemplified by systems such as ChatGPT, ChatGLM, ChatDoctor, DoctorGLM, and etc. However, the limited information provided by users during single turn results in inadequate personalization and targeting of the generated suggestions, which requires users to independently select the useful part. It is mainly caused by the missing ability to engage in multi-turn questioning. In real-world medical consultations, doctors usually employ a series of iterative inquiries to comprehend the patient's condition thoroughly, enabling them to provide effective and personalized suggestions subsequently, which can be defined as chain of questioning (CoQ) for LLMs. To improve the CoQ of LLMs, we propose BianQue, a ChatGLM-based LLM finetuned with the self-constructed health conversation dataset BianQueCorpus that is consist of multiple turns of questioning and health suggestions polished by ChatGPT. Experimental results demonstrate that the proposed BianQue can simultaneously balance the capabilities of both questioning and health suggestions, which will help promote the research and application of LLMs in the field of proactive health.

Key facts. Cited by 64 papers in the map (data through 7 Oct 2026). Builds on 7 of its 14 references that are in the map. First posted on arXiv 24 Oct 2023.

Builds on

7 of 14 references.

References · 7

  1. 2022Training language models to follow instructions with human feedbackcited by 15,712
  2. 2022Large Language Models Encode Clinical Knowledgecited by 1,807
  3. 2021GLM: General Language Model Pretraining with Autoregressive Blank Infillingcited by 1,026
  4. 2022GLM-130B: An Open Bilingual Pre-trained Modelcited by 837
  5. 2023DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Taskcited by 130
  6. 2021CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmarkcited by 99
  7. 2022A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasetscited by 45

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 5; 2024: 33; 2025: 20; 2026: 6.

64 papers.

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  1. 2023A Survey of Large Language Models in Medicine: Progress, Application, and Challengecited by 123
  2. 2024FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Modelscited by 111
  3. 2024AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulatorcited by 99
  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 91
  6. 2024A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicinecited by 45
  7. 2025A Survey on the Optimization of Large Language Model-based Agentscited by 45
  8. 2024A Survey on Data Synthesis and Augmentation for Large Language Modelscited by 40
  9. 2025Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactionscited by 40
  10. 2024Large Language Models for Medicine: A Surveycited by 38
  11. 2023MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Modelscited by 29
  12. 2024ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real Worldcited by 28
38 more
  1. 2024PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluationcited by 26
  2. 2025Real-World Doctor Agent with Proactive Consultation through Multi-Agent Reinforcement Learningcited by 26
  3. 2024MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Modelscited by 21
  4. 2024Leveraging Large Language Model as Simulated Patients for Clinical Educationcited by 20
  5. 2025Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoningcited by 19
  6. 2024Multilingual Large Language Models: A Systematic Surveycited by 18
  7. 2024Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultationcited by 17
  8. 2024PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applicationscited by 16
  9. 2024A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluationscited by 16
  10. 2024Large Language Model Benchmarks in Medical Taskscited by 16
  11. 2025Multimodal Large Language Models for Medicine: A Comprehensive Surveycited by 16
  12. 2025Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Modelscited by 16
  13. 2024Aligning Large Language Models to a Domain-specific Graph Database for NL2GQLcited by 14
  14. 2025Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactionscited by 12
  15. 2024BianCang: A Traditional Chinese Medicine Large Language Modelcited by 11
  16. 2025Doctor-R1: Mastering Clinical Inquiry with Experiential Agentic Reinforcement Learningcited by 11
  17. 2024MeNTi: Bridging Medical Calculator and LLM Agent with Nested Tool Callingcited by 10
  18. 2025UniShield: An Adaptive Multi-Agent Framework for Unified Forgery Image Detection and Localizationcited by 9
  19. 2023Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Reviewcited by 8
  20. 2024MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Expertscited by 7
  21. 2024From Intention To Implementation: Automating Biomedical Research via LLMscited by 7
  22. 2024Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Modelscited by 6
  23. 2025AvatarShield: Visual Reinforcement Learning for Human-Centric Synthetic Video Detectioncited by 6
  24. 2024OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicinecited by 5
  25. 2024Medical Dialogue: A Survey of Categories, Methods, Evaluation and Challengescited by 5
  26. 2024LLMs for Doctors: Leveraging Medical LLMs to Assist Doctors, Not Replace Themcited by 5
  27. 2024PediaBench: A Comprehensive Chinese Pediatric Dataset for Benchmarking Large Language Modelscited by 5
  28. 2024MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregationcited by 4
  29. 2024TestAgent: Automatic Benchmarking and Exploratory Interaction for Evaluating LLMs in Vertical Domainscited by 4
  30. 2025CliniChat: A Multi-Source Knowledge-Driven Framework for Clinical Interview Dialogue Reconstruction and Evaluationcited by 4
  31. 2024WundtGPT: Shaping Large Language Models To Be An Empathetic, Proactive Psychologistcited by 3
  32. 2024RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignmentcited by 3
  33. 2023Shai: A large language model for asset managementcited by 2
  34. 2024Are Large Language Models Possible to Conduct Cognitive Behavioral Therapy?cited by 2
  35. 2024ZALM3: Zero-Shot Enhancement of Vision-Language Alignment via In-Context Information in Multi-Turn Multimodal Medical Dialoguecited by 2
  36. 2024A Survey for Large Language Models in Biomedicinecited by 1
  37. 2025Reviewing Clinical Knowledge in Medical Large Language Models: Training and Beyondcited by 1
  38. 2025DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicinecited by 1

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