Ryo Kishino

岸野稜

Ryo Kishino, Yusuke Takase, Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira.
Establishing a Scale for Kullback–Leibler Divergence in Language Models Across Various Settings.
Findings of the 64th Annual Meeting of the Association for Computational Linguistics, pp. xxx–xxx, 2026. (To Appear)
[arxiv]
Momose Oyama, Ryo Kishino, Hiroaki Yamagiwa, Hidetoshi Shimodaira.
Likelihood Variance as Text Importance for Resampling Texts to Map Language Models.
Findings of the Association for Computational Linguistics: EMNLP 2025, pp. 9453–9465, 2025.
[arxiv] [ACL Anthology] [github]
Ryo Kishino, Hiroaki Yamagiwa, Ryo Nagata, Sho Yokoi, Hidetoshi Shimodaira.
Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport.
In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), pp. 15913–15933, 2025.
[arxiv] [ACL Anthology] [github] [poster]

Ryo Kishino, Riku Shiomi, Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira.
Domain Mixture Design via Log-Likelihood Differences for Aligning Language Models with a Target Model. 2026.
[arxiv]

下平英寿, 大山百々勢, 岸野稜, 山際宏明, 高瀬侑亮.
対数尤度ベクトルによるKLダイバージェンスの推定と言語モデルの地図.
2025年度統計関連学会連合大会, 2025年9月10日.
[url]
岸野稜, 山際宏明, 永田亮, 横井祥, 下平英寿.
不均衡最適輸送を用いた意味変化検出.
言語処理学会第31回年次大会 (NLP2025), 長崎, 2025年3月.
[paper] [slides] [委員特別賞]
岸野稜, 山際宏明, 永田亮, 横井祥, 下平英寿.
不均衡最適輸送を用いた意味変化検出.
第19回YANSシンポジウム, 梅田, 2024年9月.
[poster] [奨励賞]

岸野稜.
Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport.
自然言語処理, 2025, 32 巻, 4 号, p. 1299-1303 (学会記事)
[article]