Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates. - Paul Reisert; Naoya Inoue; Tatsuki Kuribayashi; Kentaro Inui (ArgMining@EMNLP, 2018)

An Empirical Study of Span Representations in Argumentation Structure Parsing. - Tatsuki Kuribayashi; Hiroki Ouchi; Naoya Inoue; Paul Reisert; Toshinori Miyoshi; Jun Suzuki 001; Kentaro Inui (ACL (1), 2019)

TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. - Masato Hagiwara; Takumi Ito; Tatsuki Kuribayashi; Jun Suzuki 001; Kentaro Inui (EMNLP/IJCNLP (3), 2019)

Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance. - Takumi Ito; Tatsuki Kuribayashi; Hayato Kobayashi; Ana Brassard; Masato Hagiwara; Jun Suzuki 001; Kentaro Inui (INLG, 2019)

Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese. - Tatsuki Kuribayashi; Takumi Ito; Jun Suzuki 001; Kentaro Inui (ACL, 2020)

Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition. - Hiroki Ouchi; Jun Suzuki 001; Sosuke Kobayashi; Sho Yokoi; Tatsuki Kuribayashi; Ryuto Konno; Kentaro Inui (ACL, 2020)

Modeling Event Salience in Narratives via Barthes' Cardinal Functions. - Takaki Otake; Sho Yokoi; Naoya Inoue; Ryo Takahashi; Tatsuki Kuribayashi; Kentaro Inui (COLING, 2020)

Langsmith: An Interactive Academic Text Revision System. - Takumi Ito; Tatsuki Kuribayashi; Masatoshi Hidaka; Jun Suzuki 001; Kentaro Inui (EMNLP (Demos), 2020)

Attention is Not Only a Weight: Analyzing Transformers with Vector Norms. - Goro Kobayashi; Tatsuki Kuribayashi; Sho Yokoi; Kentaro Inui (EMNLP (1), 2020)

Attention Module is Not Only a Weight: Analyzing Transformers with Vector Norms. - Goro Kobayashi; Tatsuki Kuribayashi; Sho Yokoi; Kentaro Inui (CoRR, 2020)

Lower Perplexity is Not Always Human-Like. - Tatsuki Kuribayashi; Yohei Oseki; Takumi Ito; Ryo Yoshida; Masayuki Asahara; Kentaro Inui (ACL/IJCNLP (1), 2021)

Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. - Goro Kobayashi; Tatsuki Kuribayashi; Sho Yokoi; Kentaro Inui (EMNLP (1), 2021)

Instance-Based Neural Dependency Parsing. - Hiroki Ouchi; Jun Suzuki 001; Sosuke Kobayashi; Sho Yokoi; Tatsuki Kuribayashi; Masashi Yoshikawa; Kentaro Inui (Trans. Assoc. Comput. Linguistics, 2021)

Topicalization in Language Models: A Case Study on Japanese. - Riki Fujihara; Tatsuki Kuribayashi; Kaori Abe; Ryoko Tokuhisa; Kentaro Inui (COLING, 2022)

Context Limitations Make Neural Language Models More Human-Like. - Tatsuki Kuribayashi; Yohei Oseki; Ana Brassard; Kentaro Inui (EMNLP, 2022)

Transformer Language Models Handle Word Frequency in Prediction Head. - Goro Kobayashi; Tatsuki Kuribayashi; Sho Yokoi; Kentaro Inui (ACL (Findings), 2023)

Second Language Acquisition of Neural Language Models. - Miyu Oba; Tatsuki Kuribayashi; Hiroki Ouchi; Taro Watanabe (ACL (Findings), 2023)

Empirical Investigation of Neural Symbolic Reasoning Strategies. - Yoichi Aoki; Keito Kudo; Tatsuki Kuribayashi; Ana Brassard; Masashi Yoshikawa; Keisuke Sakaguchi; Kentaro Inui (EACL (Findings), 2023)

Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning? - Keito Kudo; Yoichi Aoki; Tatsuki Kuribayashi; Ana Brassard; Masashi Yoshikawa; Keisuke Sakaguchi; Kentaro Inui (EACL, 2023)

Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism. - Mengyu Ye; Tatsuki Kuribayashi; Jun Suzuki 001; Goro Kobayashi; Hiroaki Funayama (EMNLP, 2023)

Use of an AI-powered Rewriting Support Software in Context with Other Tools: A Study of Non-Native English Speakers. - Takumi Ito; Naomi Yamashita; Tatsuki Kuribayashi; Masatoshi Hidaka; Jun Suzuki 001; Ge Gao 001; Jack Jamieson; Kentaro Inui (UIST, 2023)

Feed-Forward Blocks Control Contextualization in Masked Language Models. - Goro Kobayashi; Tatsuki Kuribayashi; Sho Yokoi; Kentaro Inui (CoRR, 2023)

Does Vision Accelerate Hierarchical Generalization of Neural Language Learners? - Tatsuki Kuribayashi (CoRR, 2023)

Emergent Word Order Universals from Cognitively-Motivated Language Models. - Tatsuki Kuribayashi; Ryo Ueda; Ryo Yoshida; Yohei Oseki; Ted Briscoe; Timothy Baldwin (ACL (1), 2024)

To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese. - Yukiko Ishizuki; Tatsuki Kuribayashi; Yuichiroh Matsubayashi; Ryohei Sasano; Kentaro Inui (LREC/COLING, 2024)

First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning. - Yoichi Aoki; Keito Kudo; Tatsuki Kuribayashi; Shusaku Sone; Masaya Taniguchi; Keisuke Sakaguchi; Kentaro Inui (EMNLP, 2024)

Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps. - Goro Kobayashi; Tatsuki Kuribayashi; Sho Yokoi; Kentaro Inui (ICLR, 2024)

Psychometric Predictive Power of Large Language Models. - Tatsuki Kuribayashi; Yohei Oseki; Timothy Baldwin (NAACL-HLT (Findings), 2024)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Santiago Góngora; Aishik Mandal; Sukannya Purkayastha; Jesús-Germán Ortiz-Barajas; Emilio Villa-Cueva; Jinheon Baek; Soyeong Jeong; Injy Hamed; Zheng Xin Yong; et al. (NeurIPS, 2024)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Teresa Lynn; Injy Hamed; Aditya Nanda Kishore; Aishik Mandal; Alina Dragonetti; Artem Abzaliev; Atnafu Lambebo Tonja; Bontu Fufa Balcha; Chenxi Whitehouse; et al. (CoRR, 2024)

Think-to-Talk or Talk-to-Think? When LLMs Come Up with an Answer in Multi-Step Reasoning. - Keito Kudo; Yoichi Aoki; Tatsuki Kuribayashi; Shusaku Sone; Masaya Taniguchi; Ana Brassard; Keisuke Sakaguchi; Kentaro Inui (CoRR, 2024)

Can Input Attributions Interpret the Inductive Reasoning Process Elicited in In-Context Learning? - Mengyu Ye; Tatsuki Kuribayashi; Goro Kobayashi; Jun Suzuki 001 (CoRR, 2024)

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. - Haonan Li 002; Xudong Han; Zenan Zhai; Honglin Mu; Hao Wang; Zhenxuan Zhang; Yilin Geng; Shom Lin; Renxi Wang; Artem Shelmanov; Xiangyu Qi; Yuxia Wang; et al. (CoRR, 2024)

Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases. - Rena Wei Gao; Xuetong Wu; Tatsuki Kuribayashi; Mingrui Ye; Siya Qi; Carsten Roever; Yuanxing Liu 001; Zheng Yuan; Jey Han Lau (ACL (1), 2025)

Can Input Attributions Explain Inductive Reasoning in In-Context Learning? - Mengyu Ye; Tatsuki Kuribayashi; Goro Kobayashi; Jun Suzuki 001 (ACL (Findings), 2025)

Does Vision Accelerate Hierarchical Generalization in Neural Language Learners? - Tatsuki Kuribayashi; Timothy Baldwin (COLING, 2025)

Large Language Models Are Human-Like Internally. - Tatsuki Kuribayashi; Yohei Oseki; Souhaib Ben Taieb; Kentaro Inui; Timothy Baldwin (CoRR, 2025)

On Representational Dissociation of Language and Arithmetic in Large Language Models. - Riku Kisako; Tatsuki Kuribayashi; Ryohei Sasano (CoRR, 2025)

Can Language Models Learn Typologically Implausible Languages? - Tianyang Xu; Tatsuki Kuribayashi; Yohei Oseki; Ryan Cotterell; Alex Warstadt (CoRR, 2025)

Syntactic Learnability of Echo State Neural Language Models at Scale. - Ryo Ueda; Tatsuki Kuribayashi; Shunsuke Kando; Kentaro Inui (CoRR, 2025)