{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T15:49:36Z","timestamp":1780588176325,"version":"3.54.1"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,3]]},"DOI":"10.1109\/bibm62325.2024.10822837","type":"proceedings-article","created":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T20:12:45Z","timestamp":1736539965000},"page":"3188-3191","source":"Crossref","is-referenced-by-count":8,"title":["A Novel RAG Framework with Knowledge-Enhancement for Biomedical Question Answering"],"prefix":"10.1109","author":[{"given":"Yongping","family":"Du","sequence":"first","affiliation":[{"name":"College of Computer Science Beijing University of Technology,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zikai","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science Beijing University of Technology,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Binrui","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science Beijing University of Technology,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingnan","family":"Jin","sequence":"additional","affiliation":[{"name":"College of Computer Science Beijing University of Technology,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Pei","sequence":"additional","affiliation":[{"name":"College of Computer Science Beijing University of Technology,Beijing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"A Survey of Large Language Models","author":"Zhao","year":"2023"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3641289"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz682"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.551"},{"key":"ref5","article-title":"Towards Expert-Level Medical Question Answering with Large Language Models","author":"Singhal","year":"2023"},{"key":"ref6","first-page":"578","article-title":"Do we still need clinical language models?","volume-title":"Conference on Health, Inference, and Learning, PMLR","author":"Lehman"},{"key":"ref7","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive NLP tasks","volume":"33","author":"Lewis","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref8","article-title":"M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation","year":"2024"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00638"},{"key":"ref10","article-title":"Automatic Chain of Thought Prompting in Large Language Models","author":"Zhang","year":"2022"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.84"},{"key":"ref12","article-title":"Qwen2 Technical Report","author":"Yang","year":"2024"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11970"},{"key":"ref14","first-page":"248","article-title":"Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering","volume-title":"Conference on Health, Inference, and Learning, PMLR","author":"Pal"},{"key":"ref15","article-title":"GLM-130B: An Open Bilingual Pre-trained Model","author":"Zeng","year":"2023"},{"key":"ref16","article-title":"ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools","author":"GLM","year":"2024"},{"key":"ref17","article-title":"Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond","author":"Bai","year":"2023"},{"key":"ref18","article-title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","author":"Touvron","year":"2023"},{"key":"ref19","article-title":"The Llama 3 Herd of Models","author":"Dubey","year":"2024"},{"issue":"240","key":"ref20","first-page":"1","article-title":"Palm: Scaling language modeling with pathways","volume":"24","author":"Chowdhery","year":"2023","journal-title":"Journal of Machine Learning Research"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocae045"},{"key":"ref22","article-title":"MEDITRON-70B: Scaling Medical Pretraining for Large Language Models","author":"Chen","year":"2023"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-06291-2"}],"event":{"name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","location":"Lisbon, Portugal","start":{"date-parts":[[2024,12,3]]},"end":{"date-parts":[[2024,12,6]]}},"container-title":["2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10821710\/10821711\/10822837.pdf?arnumber=10822837","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T10:22:59Z","timestamp":1736590979000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10822837\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,3]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/bibm62325.2024.10822837","relation":{},"subject":[],"published":{"date-parts":[[2024,12,3]]}}}