{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T15:59:01Z","timestamp":1785340741616,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T00:00:00Z","timestamp":1782777600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["2517121"],"award-info":[{"award-number":["2517121"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,6,30]]},"DOI":"10.1145\/3807503.3819453","type":"proceedings-article","created":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T02:55:27Z","timestamp":1785293727000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Med-HEAL: Analyzing and Mitigating Hallucinations in Medical LLMs with Hallucination-Aware In-Context Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-6583-970X","authenticated-orcid":false,"given":"Yiming","family":"Liao","sequence":"first","affiliation":[{"name":"Computer Science and Electrical Engineering Department, University of Maryland, Baltimore County, Baltimore, Maryland, USA and Computer Science Department, School of Arts and Sciences, Concordia University Wisconsin, Grafton, Wisconsin, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6533-4226","authenticated-orcid":false,"given":"Zeno","family":"Franco","sequence":"additional","affiliation":[{"name":"Medical College of Wisconsin, Milwaukee, Wisconsin, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8126-4048","authenticated-orcid":false,"given":"Jose Eduardo","family":"Lizarraga Mazaba","sequence":"additional","affiliation":[{"name":"Medical College of Wisconsin, Milwaukee, WI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9996-156X","authenticated-orcid":false,"given":"Keke","family":"Chen","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering Dept., Trustworthy and Intelligent Computing Lab, University of Maryland, Baltimore County, Baltimore, Maryland, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,28]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-5039"},{"key":"e_1_3_3_2_3_2","unstructured":"Vibhor Agarwal Yiqiao Jin Mohit Chandra Munmun De\u00a0Choudhury Srijan Kumar and Nishanth Sastry. 2024. Medhalu: Hallucinations in responses to healthcare queries by large language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2409.19492 (2024)."},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.130"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"crossref","unstructured":"Asma Ben\u00a0Abacha and Dina Demner-Fushman. 2019. A question-entailment approach to question answering. BMC bioinformatics 20 1 (2019) 511.","DOI":"10.1186\/s12859-019-3119-4"},{"key":"e_1_3_3_2_6_2","unstructured":"DeepSeek-AI. 2025. DeepSeek-R1-Distill-Llama-8B. https:\/\/huggingface.co\/deepseek-ai\/DeepSeek-R1-Distill-Llama-8B."},{"key":"e_1_3_3_2_7_2","unstructured":"Abhimanyu Dubey Abhinav Jauhri Abhinav Pandey Abhishek Kadian Ahmad Al-Dahle Aiesha Letman Akhil Mathur Alan Schelten Amy Yang Angela Fan et\u00a0al. 2024. The Llama 3 Herd of Models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2407.21783 (2024). https:\/\/arxiv.org\/abs\/2407.21783"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.444"},{"key":"e_1_3_3_2_9_2","unstructured":"Ian\u00a0J Goodfellow Mehdi Mirza Da Xiao Aaron Courville and Yoshua Bengio. 2013. An empirical investigation of catastrophic forgetting in gradient-based neural networks. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1312.6211 (2013)."},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"crossref","unstructured":"Di Jin Eileen Pan Nassim Oufattole Wei-Hung Weng Hanyi Fang and Peter Szolovits. 2021. What disease does this patient have? a large-scale open domain question answering dataset from medical exams. Applied Sciences 11 14 (2021) 6421.","DOI":"10.3390\/app11146421"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1259"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"crossref","unstructured":"Yubin Kim Hyewon Jeong Shan Chen Shuyue\u00a0Stella Li Mingyu Lu Kumail Alhamoud Jimin Mun Cristina Grau Minseok Jung Rodrigo Gameiro and others. 2025. Medical hallucinations in foundation models and their impact on healthcare. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2503.05777 (2025).","DOI":"10.1101\/2025.02.28.25323115"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"James Kirkpatrick Razvan Pascanu Neil Rabinowitz Joel Veness Guillaume Desjardins Andrei\u00a0A Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska-Barwinska et\u00a0al. 2017. Overcoming catastrophic forgetting in neural networks. Proceedings of the national academy of sciences 114 13 (2017) 3521\u20133526.","DOI":"10.1073\/pnas.1611835114"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"crossref","unstructured":"Sunjun Kweon Jiyoun Kim Heeyoung Kwak Dongchul Cha Hangyul Yoon Kwang Kim Jeewon Yang Seunghyun Won and Edward Choi. 2024. Ehrnoteqa: An llm benchmark for real-world clinical practice using discharge summaries. Advances in Neural Information Processing Systems 37 (2024) 124575\u2013124611.","DOI":"10.52202\/079017-3958"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.348"},{"key":"e_1_3_3_2_16_2","unstructured":"Patrick Lewis Ethan Perez Aleksandra Piktus Fabio Petroni Vladimir Karpukhin Naman Goyal Heinrich K\u00fcttler Mike Lewis Wen-tau Yih Tim Rockt\u00e4schel and others. 2020. Retrieval-augmented generation for knowledge-intensive nlp tasks. Advances in neural information processing systems 33 (2020) 9459\u20139474."},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"crossref","unstructured":"Renqian Luo Liai Sun Yingce Xia Tao Qin Sheng Zhang Hoifung Poon and Tie-Yan Liu. 2022. BioGPT: generative pre-trained transformer for biomedical text generation and mining. Briefings in Bioinformatics 23 6 (2022).","DOI":"10.1093\/bib\/bbac409"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.669"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"crossref","unstructured":"Shrey Pandit Jiawei Xu Junyuan Hong Zhangyang Wang Tianlong Chen Kaidi Xu and Ying Ding. 2025. Medhallu: A comprehensive benchmark for detecting medical hallucinations in large language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2502.14302 (2025).","DOI":"10.18653\/v1\/2025.emnlp-main.143"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.5555\/1823431"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"crossref","unstructured":"Walter\u00a0J Rogan and Beth Gladen. 1978. Estimating prevalence from the results of a screening test. American journal of epidemiology 107 1 (1978) 71\u201376.","DOI":"10.1093\/oxfordjournals.aje.a112510"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"crossref","unstructured":"Karan Singhal Shekoofeh Azizi Tao Tu S\u00a0Sara Mahdavi Jason Wei Hyung\u00a0Won Chung Nathan Scales Ajay Tanwani Heather Cole-Lewis Stephen Pfohl and others. 2023. Large language models encode clinical knowledge. Nature 620 7972 (2023) 172\u2013180.","DOI":"10.1038\/s41586-023-06291-2"},{"key":"e_1_3_3_2_23_2","unstructured":"Haochun Wang Chi Liu Nuwa Xi Zewen Qiang Sendong Zhao Bing Qin and Ting Liu. 2023. Huatuo: Tuning llama model with chinese medical knowledge. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2304.06975 (2023)."},{"key":"e_1_3_3_2_24_2","unstructured":"Wenhui Wang Furu Wei Li Dong Hangbo Bao Nan Yang and Ming Zhou. 2020. Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers. Advances in neural information processing systems 33 (2020) 5776\u20135788."},{"key":"e_1_3_3_2_25_2","unstructured":"Kevin Wu Eric Wu Rahul Thapa Kevin Wei Angela Zhang Arvind Suresh Jacqueline\u00a0J Tao Min\u00a0Woo Sun Alejandro Lozano and James Zou. 2025. MedCaseReasoning: Evaluating and learning diagnostic reasoning from clinical case reports. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2505.11733 (2025)."},{"key":"e_1_3_3_2_26_2","unstructured":"An Yang Baosong Yang Beichen Zhang Binyuan Hui Bo Zheng Bowen Yu Chengyuan Li Dayiheng Liu Fei Huang Haoran Wei Huan Lin Jian Yang Jianhong Tu Jianwei Zhang Jianxin Yang Jiaxi Yang Jingren Zhou Junyang Lin Kai Dang Keming Lu Keqin Bao Kexin Yang Le Yu Mei Li Mingfeng Xue Pei Zhang Qin Zhu Rui Men Runji Lin Tianhao Li Tianyi Tang Tingyu Xia Xingzhang Ren Xuancheng Ren Yang Fan Yang Su Yichang Zhang Yu Wan Yuqiong Liu Zeyu Cui Zhenru Zhang and Zihan Qiu. 2024. Qwen2.5 Technical Report. arxiv:https:\/\/arXiv.org\/abs\/2412.15115\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2412.15115"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"crossref","unstructured":"Cyril Zakka Rohan Shad Akash Chaurasia Alex\u00a0R Dalal Jennifer\u00a0L Kim Michael Moor Robyn Fong Curran Phillips Kevin Alexander Euan Ashley and others. 2024. Almanac\u2014retrieval-augmented language models for clinical medicine. Nejm ai 1 2 (2024) AIoa2300068.","DOI":"10.1056\/AIoa2300068"}],"event":{"name":"BCB '26: 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","location":"Rende (CS) Italy","acronym":"BCB '26","sponsor":["SIGBio ACM Special Interest Group on Bioinformatics"]},"container-title":["Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3807503.3819453","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3807503.3819453","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T15:11:47Z","timestamp":1785337907000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3807503.3819453"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,30]]},"references-count":26,"alternative-id":["10.1145\/3807503.3819453","10.1145\/3807503"],"URL":"https:\/\/doi.org\/10.1145\/3807503.3819453","relation":{},"subject":[],"published":{"date-parts":[[2026,6,30]]},"assertion":[{"value":"2026-07-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}