{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T00:29:19Z","timestamp":1771633759994,"version":"3.50.1"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031887192","type":"print"},{"value":"9783031887208","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-88720-8_1","type":"book-chapter","created":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T12:06:36Z","timestamp":1743768396000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["BioRAGent: A Retrieval-Augmented Generation System for\u00a0Showcasing Generative Query Expansion and\u00a0Domain-Specific Search for\u00a0Scientific Q&A"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-2622-9194","authenticated-orcid":false,"given":"Samy","family":"Ateia","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5503-0341","authenticated-orcid":false,"given":"Udo","family":"Kruschwitz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,3]]},"reference":[{"key":"1_CR1","unstructured":"Ateia, S., Kruschwitz, U.: Can open-source LLMs compete with commercial models? Exploring the few-shot performance of current GPT models in biomedical tasks. In: Faggioli, G., Ferro, N., Galusc\u00e1kov\u00e1, P., de\u00a0Herrera, A.G.S. (eds.) Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Grenoble, France, 9-12 September, 2024. CEUR Workshop Proceedings, vol.\u00a03740, pp. 78\u201398. CEUR-WS.org (2024). https:\/\/ceur-ws.org\/Vol-3740\/paper-07.pdf"},{"key":"1_CR2","doi-asserted-by":"publisher","unstructured":"Ji, Z., et al.: Survey of hallucination in natural language generation. ACM Comput. Surv. 55(12) (2023). https:\/\/doi.org\/10.1145\/3571730","DOI":"10.1145\/3571730"},{"key":"1_CR3","doi-asserted-by":"publisher","unstructured":"Jin, Q., et al.: Biomedical question answering: a survey of approaches and challenges. ACM Comput. Surv. 55(2) (2022). https:\/\/doi.org\/10.1145\/3490238","DOI":"10.1145\/3490238"},{"key":"1_CR4","first-page":"9459","volume":"33","author":"P Lewis","year":"2020","unstructured":"Lewis, P., et al.: Retrieval-augmented generation for knowledge-intensive NLP tasks. Adv. Neural. Inf. Process. Syst. 33, 9459\u20139474 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"1_CR5","doi-asserted-by":"publisher","first-page":"200091","DOI":"10.1016\/j.iswa.2022.200091","volume":"15","author":"A MacFarlane","year":"2022","unstructured":"MacFarlane, A., Russell-Rose, T., Shokraneh, F.: Search strategy formulation for systematic reviews: issues, challenges and opportunities. Intell. Syst. Appl. 15, 200091 (2022). https:\/\/doi.org\/10.1016\/j.iswa.2022.200091","journal-title":"Intell. Syst. Appl."},{"key":"1_CR6","doi-asserted-by":"crossref","unstructured":"Nentidis, A., et al.: Overview of BioASQ 2024: the twelfth BioASQ challenge on large-scale biomedical semantic indexing and question answering. In: Goeuriot, L., et al. (eds.) Experimental IR Meets Multilinguality, Multimodality, and Interaction. Proceedings of the Fifteenth International Conference of the CLEF Association (CLEF 2024) (2024)","DOI":"10.1007\/978-3-031-71908-0_1"},{"key":"1_CR7","unstructured":"Reid, M., et\u00a0al.: Gemini 1.5: unlocking multimodal understanding across millions of tokens of context. arXiv preprint arXiv:2403.05530 (2024)"},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Shuster, K., Poff, S., Chen, M., Kiela, D., Weston, J.: Retrieval augmentation reduces hallucination in conversation. In: Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 3784\u20133803 (2021)","DOI":"10.18653\/v1\/2021.findings-emnlp.320"},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Wang, S., Scells, H., Koopman, B., Zuccon, G.: Can ChatGPT write a good Boolean query for systematic review literature search? In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1426\u20131436 (2023)","DOI":"10.1145\/3539618.3591703"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-88720-8_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T12:06:51Z","timestamp":1743768411000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-88720-8_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031887192","9783031887208"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-88720-8_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"3 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"ECIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Information Retrieval","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lucca","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 April 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"47","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecir2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ecir2025.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}