Probe-Less Probing of BERT's Layer-Wise Linguistic Knowledge with Masked Word Prediction. - Tatsuya Aoyama; Nathan Schneider 001 (NAACL-HLT (Student Research Workshop), 2022)

What's Hard in English RST Parsing? Predictive Models for Error Analysis. - Yang Janet Liu; Tatsuya Aoyama; Amir Zeldes (SIGDIAL, 2023)

GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation. - Tatsuya Aoyama; Shabnam Behzad; Luke Gessler; Lauren Levine; Jessica Lin 004; Yang Janet Liu; Siyao Peng; Yilun Zhu 001; Amir Zeldes (CoRR, 2023)

Identifying Fairness Issues in Automatically Generated Testing Content. - Kevin Stowe; Benny Longwill; Alyssa Francis; Tatsuya Aoyama; Debanjan Ghosh; Swapna Somasundaran (BEA, 2024)

J-SNACS: Adposition and Case Supersenses for Japanese Joshi. - Tatsuya Aoyama; Chihiro Taguchi; Nathan Schneider 001 (LREC/COLING, 2024)

DISRPT: A Multilingual, Multi-domain, Cross-framework Benchmark for Discourse Processing. - Chloé Braud; Amir Zeldes; Laura Rivière; Yang Janet Liu; Philippe Muller; Damien Sileo; Tatsuya Aoyama (LREC/COLING, 2024)

Modeling Nonnative Sentence Processing with L2 Language Models. - Tatsuya Aoyama; Nathan Schneider 001 (EMNLP, 2024)

GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains. - Yang Janet Liu; Tatsuya Aoyama; Wesley Scivetti; Yilun Zhu 001; Shabnam Behzad; Lauren Levine; Jessica Lin 004; Devika Tiwari; Amir Zeldes (EMNLP, 2024)

Distributionally Robust Safe Screening. - Hiroyuki Hanada; Satoshi Akahane; Tatsuya Aoyama; Tomonari Tanaka; Yoshito Okura; Yu Inatsu; Noriaki Hashimoto; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeuchi (CoRR, 2024)

Distributionally Robust Safe Sample Screening. - Hiroyuki Hanada; Tatsuya Aoyama; Satoshi Akahane; Tomonari Tanaka; Yoshito Okura; Yu Inatsu; Noriaki Hashimoto; Shion Takeno; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeuchi (CoRR, 2024)

Language Models Grow Less Humanlike beyond Phase Transition. - Tatsuya Aoyama; Ethan Wilcox (ACL (1), 2025)

Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs. - Xiulin Yang; Tatsuya Aoyama; Yuekun Yao; Ethan Wilcox (ACL (1), 2025)

eRST: A Signaled Graph Theory of Discourse Relations and Organization. - Amir Zeldes; Tatsuya Aoyama; Yang Janet Liu; Siyao Peng; Debopam Das; Luke Gessler (Comput. Linguistics, 2025)

Distributionally Robust Coreset Selection under Covariate Shift. - Tomonari Tanaka; Hiroyuki Hanada; Hanting Yang; Tatsuya Aoyama; Yu Inatsu; Satoshi Akahane; Yoshito Okura; Noriaki Hashimoto; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeuchi (Trans. Mach. Learn. Res., 2025)

Generalized Kernel Inducing Points by Duality Gap for Dataset Distillation. - Tatsuya Aoyama; Hanting Yang; Hiroyuki Hanada; Satoshi Akahane; Tomonari Tanaka; Yoshito Okura; Yu Inatsu; Noriaki Hashimoto; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeuchi (CoRR, 2025)

Distributionally Robust Active Learning for Gaussian Process Regression. - Shion Takeno; Yoshito Okura; Yu Inatsu; Tatsuya Aoyama; Tomonari Tanaka; Satoshi Akahane; Hiroyuki Hanada; Noriaki Hashimoto; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeuchi (CoRR, 2025)

Unpacking Let Alone: Human-Scale Models Generalize to a Rare Construction in Form but not Meaning. - Wesley Scivetti; Tatsuya Aoyama; Ethan Wilcox; Nathan Schneider 001 (CoRR, 2025)