{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T19:05:47Z","timestamp":1771614347586,"version":"3.50.1"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10651011","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-8","source":"Crossref","is-referenced-by-count":12,"title":["REMED: Retrieval-Augmented Medical Document Query Responding with Embedding Fine-Tuning"],"prefix":"10.1109","author":[{"given":"Tianqi","family":"Pang","sequence":"first","affiliation":[{"name":"South China Normal University"}]},{"given":"Kehui","family":"Tan","sequence":"additional","affiliation":[{"name":"South China Normal University"}]},{"given":"Yujun","family":"Yao","sequence":"additional","affiliation":[{"name":"Shanghai AI Lab"}]},{"given":"Xiangyang","family":"Liu","sequence":"additional","affiliation":[{"name":"South China Normal University"}]},{"given":"Fanlong","family":"Meng","sequence":"additional","affiliation":[{"name":"Bytedance Inc."}]},{"given":"Chenyou","family":"Fan","sequence":"additional","affiliation":[{"name":"South China Normal University"}]},{"given":"Xiaofan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shanghai AI Lab"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Gpt-4 technical report","year":"2023"},{"key":"ref2","article-title":"A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions","author":"Huang","year":"2023"},{"key":"ref3","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":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.naacl-long.463"},{"key":"ref5","article-title":"M3e: Moka massive mixed embedding model","author":"Wang","year":"2023"},{"key":"ref6","article-title":"Text embeddings by weakly-supervised contrastive pre-training","author":"Wang","year":"2022"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00605"},{"key":"ref8","article-title":"Generalization through memorization: Nearest neighbor language models","author":"Khandelwal","year":"2019"},{"key":"ref9","article-title":"Fine-tuning or retrieval? comparing knowledge injection in llms","author":"Ovadia","year":"2023"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-5713"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12013"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1263"},{"key":"ref13","article-title":"Self-RAG: Learning to retrieve, generate, and critique through self-reflection","author":"Asai","year":"2023"},{"key":"ref14","article-title":"Db-gpt: Empowering database interactions with private large language models","author":"Xue","year":"2023"},{"key":"ref15","article-title":"Fine-grained late-interaction multi-modal retrieval for retrieval augmented visual question answering","author":"Lin","year":"2023"},{"key":"ref16","article-title":"Introducing 100k context windows","year":"2023"},{"key":"ref17","article-title":"Lora: Low-rank adaptation of large language models","author":"Hu","year":"2021"},{"key":"ref18","article-title":"P-tuning v2: Prompt tuning can be comparable to fine-tuning universally across scales and tasks","author":"Liu","year":"2021"},{"key":"ref19","article-title":"Llama pro: Progressive llama with block expansion","author":"Wu","year":"2024"},{"key":"ref20","article-title":"Graph of thoughts: Solving elaborate problems with large language models","author":"Besta","year":"2023"},{"key":"ref21","article-title":"Tree of thoughts: Deliberate problem solving with large language models","author":"Yao","year":"2023"},{"key":"ref22","first-page":"24 824","article-title":"Chain-of-thought prompting elicits reasoning in large language models","volume":"35","author":"Wei","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref23","article-title":"Label-free node classification on graphs with large language models (llms)","author":"Chen","year":"2023"},{"key":"ref24","article-title":"Autolabel","year":"2023"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCC59590.2023.10507622"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-40292-0_1"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1561\/1500000019"},{"key":"ref28","article-title":"Mteb leaderboard","year":"2023"},{"key":"ref29","article-title":"Gaussian error linear units (gelus)","author":"Hendrycks","year":"2016"},{"key":"ref30","article-title":"Searching for activation functions","author":"Ramachandran","year":"2017"},{"key":"ref31","article-title":"Glm-130b: An open bilingual pre-trained model","author":"Zeng","year":"2022"},{"key":"ref32","article-title":"Internlm: A multilingual language model with progressively enhanced capabilities","year":"2023"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","location":"Yokohama, Japan","start":{"date-parts":[[2024,6,30]]},"end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10651011.pdf?arnumber=10651011","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T04:38:15Z","timestamp":1725943095000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10651011\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10651011","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}