Personalized Scientific Figure Caption Generation: An Empirical Study on Author-Specific Writing Style Transfer

• URL: http://arxiv.org/abs/2509.25817v1
• Date: Tue, 30 Sep 2025 05:52:15 GMT
• Title: Personalized Scientific Figure Caption Generation: An Empirical Study on Author-Specific Writing Style Transfer
• Authors: Jaeyoung Kim, Jongho Lee, Hongjun Choi, Sion Jang,
• Abstract summary: We study personalized figure caption generation using author profile data from scientific papers.<n>We reveal a fundamental trade-off between matching author style and maintaining caption quality.
• Score: 12.354075334437141
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We study personalized figure caption generation using author profile data from scientific papers. Our experiments demonstrate that rich author profile data, combined with relevant metadata, can significantly improve the personalization performance of multimodal large language models. However, we also reveal a fundamental trade-off between matching author style and maintaining caption quality. Our findings offer valuable insights and future directions for developing practical caption automation systems that balance both objectives. This work was conducted as part of the 3rd SciCap challenge.

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