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Our solution is the Translative Research Assistant, leveraging ChatGPT as its primary tool. To enhance the accuracy of its text generation, we advocate for a knowledge retrieval approach utilizing the Retrieval-Augmented Generation pipeline with keyword extraction using proposed Extended Scalable Betweenness Centrality. Ultimately, our aim is to promote the integration of AI across disciplines and enhance the precision of ChatGPT responses, aiding researchers in efficiently assessing the utility of new information they encounter.<\/jats:p>","DOI":"10.1142\/s1793351x25440015","type":"journal-article","created":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T10:32:05Z","timestamp":1747391525000},"page":"413-432","source":"Crossref","is-referenced-by-count":0,"title":["Translative Research Assistant: A Retrieval-Augmented Generation Pipeline Refinement with Keyword Extraction Using Extended Scalable Betweenness Centrality"],"prefix":"10.1142","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5787-6586","authenticated-orcid":false,"given":"Chung-Hsien","family":"Chou","sequence":"first","affiliation":[{"name":"Samsung Canada, 565 Great Northern Way, Vancouver, British Columbia, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5468-9014","authenticated-orcid":false,"given":"Chee-Hann","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Drama, New York University, New York, NY 10012, USA"}]}],"member":"219","published-online":{"date-parts":[[2025,6,12]]},"reference":[{"key":"S1793351X25440015BIB001","doi-asserted-by":"publisher","DOI":"10.1145\/3600211.3604681"},{"key":"S1793351X25440015BIB002","doi-asserted-by":"publisher","DOI":"10.1109\/AIxHeart62327.2024.00025"},{"issue":"2","key":"S1793351X25440015BIB003","first-page":"115","volume":"24","author":"Wu C.-H.","year":"2024","journal-title":"Interact. 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