mlsanityData to 14 Oct 2026

Retrieval Augmented Generation and Representative Vector Summarization for large unstructured textual data in Medical Education

arXiv 2308.00479 ↗First posted 1 Aug 2023cs.CL cs.AIcited by 10

On the map: Retrieval-augmented generation → Medical and biomedical RAG

Abstract (arXiv)

Large Language Models are increasingly being used for various tasks including content generation and as chatbots. Despite their impressive performances in general tasks, LLMs need to be aligned when applying for domain specific tasks to mitigate the problems of hallucination and producing harmful answers. Retrieval Augmented Generation (RAG) allows to easily attach and manipulate a non-parametric knowledgebases to LLMs. Applications of RAG in the field of medical education are discussed in this paper. A combined extractive and abstractive summarization method for large unstructured textual data using representative vectors is proposed.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Placed in Medical and biomedical RAG, one of 15 directions in Retrieval-augmented generation. Builds on 3 of its 8 references that are in the map. First posted on arXiv 1 Aug 2023.

Builds on

3 of 8 references.

References · 3

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  2. 2017Billion-scale similarity search with GPUscited by 2,497
  3. 2022Large Language Models Encode Clinical Knowledgecited by 1,830

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 6; 2025: 2; 2026: 1.

10 papers.

  1. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 102
  2. 2024The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Modelscited by 18
  3. 2024Multi-Head RAG: Solving Multi-Aspect Problems with LLMscited by 18
  4. 2023Aligning Large Language Models for Clinical Taskscited by 6
  5. 2025LawPal : A Retrieval Augmented Generation Based System for Enhanced Legal Accessibility in Indiacited by 6
  6. 2025Affordable AI Assistants with Knowledge Graph of Thoughtscited by 6
  7. 2024Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesiscited by 4
  8. 2024QACP: An Annotated Question Answering Dataset for Assisting Chinese Python Programming Learnerscited by 1
  9. 2026GraphSeek: Next-Generation Graph Analytics with LLMscited by 1
  10. 2024Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Contextcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report
  2. 2025Optimizing Retrieval-Augmented Generation of Medical Content for Spaced Repetition Learning
  3. 2024Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation
  4. 2025Retrieval-Augmented Generation in Medicine: A Scoping Review of Technical Implementations, Clinical Applications, and Ethical Considerations
  5. 2024Comprehensive and Practical Evaluation of Retrieval-Augmented Generation Systems for Medical Question Answering
  6. 2026Pursuing Best Industrial Practices for Retrieval-Augmented Generation in the Medical Domain
  7. 2025Leveraging Language Models and RAG for Efficient Knowledge Discovery in Clinical Environments
  8. 2023MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering