Test-time Augmentation for Factual Probing. - Go Kamoda; Benjamin Heinzerling; Keisuke Sakaguchi; Kentaro Inui (EMNLP (Findings), 2023)

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)

Quantifying the Influence of Evaluation Aspects on Long-Form Response Assessment. - Go Kamoda; Akari Asai; Ana Brassard; Keisuke Sakaguchi (COLING, 2025)

SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches. - Hiroyuki Deguchi 002; Go Kamoda; Yusuke Matsushita 002; Chihiro Taguchi; Kohei Suenaga; Masaki Waga; Sho Yokoi (ICLR, 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 (NAACL (Findings), 2025)