| 2026 | ACL | Language Acquisition Device in Large Language Models. | Masato Mita, Taiga Someya, Ryo Yoshida, Yohei Oseki |
| 2025 | ACL | Targeted Syntactic Evaluation for Grammatical Error Correction. | Aomi Koyama, Masato Mita, Su-Youn Yoon, Yasufumi Takama, Mamoru Komachi |
| 2025 | ACL | Developmentally-plausible Working Memory Shapes a Critical Period for Language Acquisition. | Masato Mita, Ryo Yoshida, Yohei Oseki |
| 2025 | EMNLP | BannerBench: Benchmarking Vision Language Models for Multi-Ad Selection with Human Preferences. | Hiroto Otake, Peinan Zhang, Yusuke Sakai, Masato Mita, Hiroki Ouchi, Taro Watanabe |
| 2025 | NAACL | AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertising. | Peinan Zhang, Yusuke Sakai, Masato Mita, Hiroki Ouchi, Taro Watanabe |
| 2024 | ACL | Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation. | Masato Mita, Soichiro Murakami, Akihiko Kato, Peinan Zhang |
| 2024 | COLING | CAMERA³: An Evaluation Dataset for Controllable Ad Text Generation in Japanese. | Go Inoue, Akihiko Kato, Masato Mita, Ukyo Honda, Peinan Zhang |
| 2024 | COLING | Token-length Bias in Minimal-pair Paradigm Datasets. | Naoya Ueda, Masato Mita, Teruaki Oka, Mamoru Komachi |
| 2024 | PACLIC | DejaVu: Disambiguation evaluation dataset for English-JApanese machine translation on VisUal information. | Ayako Sato, Tosho Hirasawa, Hwichan Kim, Zhousi Chen, Teruaki Oka, Masato Mita, Mamoru Komachi |
| 2023 | EACL | Cloze Quality Estimation for Language Assessment. | Zizheng Zhang, Masato Mita, Mamoru Komachi |
| 2023 | EMNLP | ClozEx: A Task toward Generation of English Cloze Explanation. | Zizheng Zhang, Masato Mita, Mamoru Komachi |
| 2023 | INLG | A Report on FCG GenChal 2022: Shared Task on Feedback Comment Generation for Language Learners. | Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa, Masato Mita |
| 2022 | LREC | Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction. | Daisuke Suzuki, Yujin Takahashi, Ikumi Yamashita, Taichi Aida, Tosho Hirasawa, Michitaka Nakatsuji, Masato Mita, Mamoru Komachi |
| 2022 | LREC | ProQE: Proficiency-wise Quality Estimation dataset for Grammatical Error Correction. | Yujin Takahashi, Masahiro Kaneko, Masato Mita, Mamoru Komachi |
| 2021 | ACL | Do Grammatical Error Correction Models Realize Grammatical Generalization? | Masato Mita, Hitomi Yanaka |
| 2021 | INLG | Shared Task on Feedback Comment Generation for Language Learners. | Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa, Masato Mita, Artem Chernodub, Olena Nahorna |
| 2020 | ACL | Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation. | Hiroaki Funayama, Shota Sasaki, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita, Kentaro Inui |
| 2020 | ACL | Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction. | Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki, Kentaro Inui |
| 2020 | COLING | PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents. | Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui |
| 2020 | COLING | Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation. | Takumi Gotou, Ryo Nagata, Masato Mita, Kazuaki Hanawa |
| 2020 | EMNLP | A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction. | Masato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, Kentaro Inui |
| 2020 | LREC | GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors. | Masato Hagiwara, Masato Mita |
| 2019 | EMNLP | An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. | Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui |
| 2019 | NAACL | Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models - Is Single-Corpus Evaluation Enough? | Masato Mita, Tomoya Mizumoto, Masahiro Kaneko, Ryo Nagata, Kentaro Inui |