mlsanityData to 14 Oct 2026

Traditional Chinese Medicine Case Analysis System for High-Level Semantic Abstraction: Optimized with Prompt and RAG

arXiv 2411.15491 ↗First posted 23 Nov 2024cs.CLcited by 1

Not on the map. Why?

Abstract (arXiv)

This paper details a technical plan for building a clinical case database for Traditional Chinese Medicine (TCM) using web scraping. Leveraging multiple platforms, including 360doc, we gathered over 5,000 TCM clinical cases, performed data cleaning, and structured the dataset with crucial fields such as patient details, pathogenesis, syndromes, and annotations. Using the BaiduERNIESpeed128K API, we removed redundant information and generated the final answers through the DeepSeekv2 API, outputting results in standard JSON format. We optimized data recall with RAG and rerank techniques during retrieval and developed a hybrid matching scheme. By combining two-stage retrieval method with keyword matching via Jieba, we significantly enhanced the accuracy of model outputs.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 13 of its 22 references that are in the map. First posted on arXiv 23 Nov 2024.

Builds on

13 of 22 references.

References · 13

  1. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
  2. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  3. 2024Qwen2.5-Coder Technical Reportcited by 1,203
  4. 2024DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Modelcited by 1,135
  5. 2019ERNIE: Enhanced Representation through Knowledge Integrationcited by 302
  6. 2024mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrievalcited by 236
  7. 2023Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-world Multi-turn Dialoguecited by 119
  8. 2024HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extractioncited by 93
  9. 2024LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendationscited by 40
  10. 2023Toward General Design Principles for Generative AI Applicationscited by 21
  11. 2024TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicinecited by 17
  12. 2024Qibo: A Large Language Model for Traditional Chinese Medicinecited by 13
1 more
  1. 2022TCM-SD: A Benchmark for Probing Syndrome Differentiation via Natural Language Processingcited by 6

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.

  1. 2025Improving TCM Question Answering through Tree-Organized Self-Reflective Retrieval with LLMscited by 1

Similar, not cited

Close in wording, no citation either way

  1. 2025OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis
  2. 2025MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine
  3. 2026TCM-DiffRAG: Personalized Syndrome Differentiation Reasoning Method for Traditional Chinese Medicine based on Knowledge Graph and Chain of Thought
  4. 2026TCMClinicalReason-Bench: Can Language Models Reason from Pathogenesis to Prescription over Real-World Clinical Cases?
  5. 2026LingLanMiDian: Systematic Evaluation of LLMs on TCM Knowledge and Clinical Reasoning
  6. 2026Traceable Cross-Source RAG for Chinese Tibetan Medicine Question Answering
  7. 2025TCM-Ladder: A Benchmark for Multimodal Question Answering on Traditional Chinese Medicine
  8. 2025ZhiFangDanTai: Fine-tuning Graph-based Retrieval-Augmented Generation Model for Traditional Chinese Medicine Formula