LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences

Yusuke Hirota, Boyi Li, Ryo Hachiuma, Yueh-Hua Wu, Boris Ivanovic, Marco Pavone, Yejin Choi, Yu-Chiang Frank Wang, Yuta Nakashima, Chao-Han Huck Yang. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track). 2025.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.acl-industry.22
Primary Topic
Multimodal Machine Learning Applications
Type
article
Field-Weighted Citation Impact
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article

LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences

Yueh-Hua Wu, Chao-Han Huck Yang, Ryo Hachiuma, Marco Pavone et al.
Multimodal Machine Learning Applications
article

LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences

Yueh-Hua Wu, Chao-Han Huck Yang, Ryo Hachiuma, Marco Pavone, Yuta Nakashima, Yusuke Hirota, Yu-Chiang Frank Wang, Boris Ivanovic, Boyi Li, Yejin Choi
article en

Abstract

Yusuke Hirota, Boyi Li, Ryo Hachiuma, Yueh-Hua Wu, Boris Ivanovic, Marco Pavone, Yejin Choi, Yu-Chiang Frank Wang, Yuta Nakashima, Chao-Han Huck Yang. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track). 2025.

Openalex Percentile: Top 83%
Multimodal Machine Learning Applications
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LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences — Yueh-Hua Wu, Chao-Han Huck Yang, et al. · (2025) | TGRS Research Map | TGRS