Ukyo Honda
I am a research scientist at CyberAgent AI Lab. My research interests include text generation and its evaluation. Currently, I am working on text decoding algorithms, reinforcement learning for text generation, and out-of-distribution robustness. My dissertation was about enhancing scene coverage and informativeness of image captioning models.
Contact: honda_ukyo at cyberagent.co.jp
[Google Scholar] [Semantic Scholar] [GitHub] [Speaker Deck]
Publications
Refereed
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Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding
Ukyo Honda, Tatsushi Oka, Peinan Zhang, and Masato Mita. TACL 2024.
[arxiv][code] -
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding
Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, and Peinan Zhang. Findings of ACL 2024.
[arxiv][code] -
Model-Based Minimum Bayes Risk Decoding for Text Generation
Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, and Kenshi Abe. ICML 2024.
[arxiv][code] -
Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation
Hao Wang, Tetsuro Morimura, Ukyo Honda, and Daisuke Kawahara. NAACL-SRW 2024.
[arxiv] -
On the True Distribution Approximation of Minimum Bayes-Risk Decoding
Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura, and Yuu Jinnai. NAACL 2024.
[arxiv][code] -
CAMERA³: An Evaluation Dataset for Controllable Ad Text Generation in Japanese
Go Inoue, Akihiko Kato, Masato Mita, Ukyo Honda, and Peinan Zhang. LREC-COLING 2024.
[code] -
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices
Hwichan Kim, Shota Sasaki, Sho Hoshino, and Ukyo Honda. LREC-COLING 2024.
[arxiv][code] -
Switching to Discriminative Image Captioning by Relieving a Bottleneck of Reinforcement Learning
Ukyo Honda, Taro Watanabe, and Yuji Matsumoto. WACV 2023.
[arxiv][code] -
Explainable Natural Language Inference in the Legal Domain via Text Generation
Jungmin Choi, Ukyo Honda, Taro Watanabe, and Kentaro Inui. Transactions of the Japanese Society for Artificial Intelligence 2023. -
Removing Partial Mismatches in Unsupervised Image Captioning
Ukyo Honda, Atsushi Hashimoto, Taro Watanabe, and Yuji Matsumoto. Transactions of the Japanese Society for Artificial Intelligence 2022. -
Law Retrieval with Supervised Contrastive Learning using the Hierarchical Structure of Law
Jungmin Choi, Ukyo Honda, Taro Watanabe, Kentaro Inui, and Hiroki Ouchi. PACLIC 2022. -
Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning
Ukyo Honda, Yoshitaka Ushiku, Atsushi Hashimoto, Taro Watanabe, and Yuji Matsumoto. EACL 2021.
[arxiv][code] -
Characterization of Pulmonary Nodules in Computed Tomography Images Based on Pseudo-Labeling Using Radiology Reports
Yohei Momoki, Akimichi Ichinose, Yutaro Shigeto, Ukyo Honda, Keigo Nakamura, and Yuji Matsumoto. IEEE Transactions on Circuits and Systems for Video Technology 2021. -
Pruning Basic Elements for Better Automatic Evaluation of Summaries
Ukyo Honda, Tsutomu Hirao, and Masaaki Nagata. NAACL 2018.
[code]
Preprints
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Annotation-Efficient Preference Optimization for Language Model Alignment
Yuu Jinnai and Ukyo Honda. arxiv 2024.
[code] -
On the Depth between Beam Search and Exhaustive Search for Text Generation
Yuu Jinnai, Tetsuro Morimura, and Ukyo Honda. arxiv 2023.
Non-Refereed
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強化学習における画像キャプションの低識別性問題とLong-Tail分類手法を用いた対処
本多右京, 渡辺太郎, 松本裕治. 言語処理学会第28回年次大会 2022. -
法律の階層構造を利用した教師あり対照学習による法律検索
チェ ジョンミン, 本多右京, 渡辺太郎, 大内啓樹. 第36回人工知能学会全国大会 2022. -
画像と単語の不一致を考慮した疑似教師ありキャプション生成
本多右京, 牛久祥孝, 橋本敦史, 渡辺太郎, 松本裕治. 言語処理学会第27回年次大会 2021. -
冗長なNgram/Basic Elementsを除いた自動要約評価指標
本多右京, 平尾努, 永田昌明. 言語処理学会第24回年次大会 2018.
Awards
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Best Paper Award / 最優秀賞
Ukyo Honda, Taro Watanabe, and Yuji Matsumoto
Annual Meeting of the Association for Natural Language Processing / 言語処理学会年次大会 (Mar. 2022) -
Outstanding Research Award / 優秀研究賞 (インタラクティブセッション発表部門)
Jungmin Choi, Ukyo Honda, Taro Watanabe, Kentaro Inui, and Hiroki Ouchi
Annual Conference of the Japanese Society for Artificial Intelligence / 人工知能学会全国大会 (Jun. 2022) -
Young Researcher Award / 若手奨励賞
Ukyo Honda, Yoshitaka Ushiku, Atsushi Hashimoto, Taro Watanabe, and Yuji Matsumoto
Annual Meeting of the Association for Natural Language Processing / 言語処理学会年次大会 (Mar. 2021)
Education
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Mar. 2023: Ph.D. in Engineering at Nara Institute of Science and Technology
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Mar. 2019: M.S. in Engineering at Nara Institute of Science and Technology
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Sep. 2016: B.A. in Law at Keio University
Experience
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Sep. - Dec. 2019: Research Internship at OMRON SINIC X Corp.
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Aug. - Oct. 2018: Research Internship at OMRON SINIC X Corp.
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Sep. 2017: Research Internship at NTT Comunication Science Laboratories
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Sep. 2016 - Mar. 2017: Translation Checker at Honyaku Center Inc.
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Sep. 2015 - Jun. 2016: Exchange Student at University of California, Davis