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Assessing the performance of multimodal large language models in experimental information extraction from liquid-liquid phase separation literature.

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Bibliographic Details
Title:	Assessing the performance of multimodal large language models in experimental information extraction from liquid-liquid phase separation literature.
Authors:	Chin KY; Graduate School of Medical Life Science, Yokohama City University, 1-7-29, Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan., Fujii S; Graduate School of Medical Life Science, Yokohama City University, 1-7-29, Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan., Ishida S; Graduate School of Medical Life Science, Yokohama City University, 1-7-29, Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan., Terayama K; Graduate School of Medical Life Science, Yokohama City University, 1-7-29, Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan. terayama@yokohama-cu.ac.jp.; RIKEN Center for Advanced Intelligence Project, 1-4-1, Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan. terayama@yokohama-cu.ac.jp.; MDX Research Center for Element Strategy, Institute of Science Tokyo, 4259 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa, 226-8501, Japan. terayama@yokohama-cu.ac.jp.; Department of Life Science and Technology, School of Life Science and Technology, Institute of Science Tokyo, 4259 Nagatsuta-cho, Midori-ku, Yokohama, Kanagawa, 226- 8501, Japan. terayama@yokohama-cu.ac.jp.
Source:	Scientific reports [Sci Rep] 2026 Apr 10; Vol. 16 (1). Date of Electronic Publication: 2026 Apr 10.
Publication Type:	Journal Article
Journal Info:	Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database:	MEDLINE Ultimate

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ISSN:	2045-2322
DOI:	10.1038/s41598-026-47277-0