Go Kamoda

According to our database, Go Kamoda authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SoftMatcha 2: A Fast and Soft Pattern Matcher for Trillion-Scale Corpora.

Masataka Yoneda, Yusuke Matsushita, Go Kamoda, Kohei Suenaga, Takuya Akiba, Masaki Waga, Sho Yokoi

CoRR, February, 2026

2025

Can Language Models Handle a Non-Gregorian Calendar?

Mutsumi Sasaki, Go Kamoda, Ryosuke Takahashi, Kosuke Sato, Kentaro Inui, Keisuke Sakaguchi, Benjamin Heinzerling

CoRR, September, 2025

Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference.

Go Kamoda, Benjamin Heinzerling, Tatsuro Inaba, Keito Kudo, Keisuke Sakaguchi, Kentaro Inui

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Can Language Models Handle a Non-Gregorian Calendar? The Case of the Japanese wareki.

Mutsumi Sasaki, Go Kamoda, Ryosuke Takahashi, Kosuke Sato, Kentaro Inui, Keisuke Sakaguchi, Benjamin Heinzerling

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches.

Hiroyuki Deguchi, Go Kamoda, Yusuke Matsushita, Chihiro Taguchi, Kohei Suenaga, Masaki Waga, Sho Yokoi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

How a Bilingual LM Becomes Bilingual: Tracing Internal Representations with Sparse Autoencoders.

Tatsuro Inaba, Go Kamoda, Kentaro Inui, Masaru Isonuma, Yusuke Miyao, Yohei Oseki, Yu Takagi, Benjamin Heinzerling

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Quantifying the Influence of Evaluation Aspects on Long-Form Response Assessment.

Go Kamoda, Akari Asai, Ana Brassard, Keisuke Sakaguchi

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

The Curse of Popularity: Popular Entities have Catastrophic Side Effects when Deleting Knowledge from Language Models.

Ryosuke Takahashi, Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi, Kentaro Inui

CoRR, 2024

2023

Test-time Augmentation for Factual Probing.

Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi, Kentaro Inui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023