Annotation and Analysis of Discourse Relations, Temporal Relations and Multi-Layered Situational Relations in Japanese Texts. - Kimi Kaneko; Saku Sugawara; Koji Mineshima; Daisuke Bekki (ALR@COLING, 2016)

Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems. - Saku Sugawara; Hikaru Yokono; Akiko Aizawa (AAAI, 2017)

Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability. - Saku Sugawara; Yusuke Kido; Hikaru Yokono; Akiko Aizawa (ACL (1), 2017)

What Makes Reading Comprehension Questions Easier? - Saku Sugawara; Kentaro Inui; Satoshi Sekine; Akiko Aizawa (EMNLP, 2018)

Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. - Saku Sugawara; Pontus Stenetorp; Kentaro Inui; Akiko Aizawa (AAAI, 2020)

Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps. - Xanh Ho; Anh-Khoa Duong Nguyen; Saku Sugawara; Akiko Aizawa (COLING, 2020)

Prerequisites for Explainable Machine Reading Comprehension: A Position Paper. - Saku Sugawara; Pontus Stenetorp; Akiko Aizawa (CoRR, 2020)

Embracing Ambiguity: Shifting the Training Target of NLI Models. - Johannes Mario Meissner; Napat Thumwanit; Saku Sugawara; Akiko Aizawa (ACL/IJCNLP (2), 2021)

What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? - Nikita Nangia; Saku Sugawara; Harsh Trivedi; Alex Warstadt; Clara Vania; Samuel R. Bowman (ACL/IJCNLP (1), 2021)

Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation. - Kazutoshi Shinoda; Saku Sugawara; Akiko Aizawa (ACL (student), 2021)

Benchmarking Machine Reading Comprehension: A Psychological Perspective. - Saku Sugawara; Pontus Stenetorp; Akiko Aizawa (EACL, 2021)

Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap. - Kazutoshi Shinoda; Saku Sugawara; Akiko Aizawa (CoRR, 2021)

What Makes Reading Comprehension Questions Difficult? - Saku Sugawara; Nikita Nangia; Alex Warstadt; Samuel R. Bowman (ACL (1), 2022)

Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering. - Kazutoshi Shinoda; Saku Sugawara; Akiko Aizawa (BlackboxNLP@EMNLP, 2022)

Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios. - Mana Ashida; Saku Sugawara (COLING, 2022)

Debiasing Masks: A New Framework for Shortcut Mitigation in NLU. - Johannes Mario Meissner; Saku Sugawara; Akiko Aizawa (EMNLP, 2022)

Cross-Modal Similarity-Based Curriculum Learning for Image Captioning. - Hongkuan Zhang; Saku Sugawara; Akiko Aizawa; Lei Zhou; Ryohei Sasano; Koichi Takeda 003 (EMNLP, 2022)

How Well Do Multi-hop Reading Comprehension Models Understand Date Information? - Xanh Ho; Saku Sugawara; Akiko Aizawa (AACL/IJCNLP (2), 2022)

Interdisciplinarity Inference Using a Cross Encoder between Research Projects. - Teruhito Kanazawa; Hidekazu Nakawatase; Saku Sugawara; Chifumi Nishioka (SCIS/ISIS, 2022)

A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension. - Xanh Ho; Johannes Mario Meissner; Saku Sugawara; Akiko Aizawa (CoRR, 2022)

Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering. - Kazutoshi Shinoda; Saku Sugawara; Akiko Aizawa (CoRR, 2022)

Which Shortcut Solution Do Question Answering Models Prefer to Learn? - Kazutoshi Shinoda; Saku Sugawara; Akiko Aizawa (AAAI, 2023)

Probing Physical Reasoning with Counter-Commonsense Context. - Kazushi Kondo; Saku Sugawara; Akiko Aizawa (ACL (2), 2023)

On Degrees of Freedom in Defining and Testing Natural Language Understanding. - Saku Sugawara; Shun Tsugita (ACL (Findings), 2023)

PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments. - Daiki Asami; Saku Sugawara (CoNLL, 2023)

Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering. - Xanh Ho; Anh-Khoa Duong Nguyen; Saku Sugawara; Akiko Aizawa (EACL (Findings), 2023)

Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading Comprehension. - Akira Kawabata; Saku Sugawara (EMNLP, 2023)

Improving Translation of Case Descriptions into Logical Fact Formulas using LegalCaseNER. - May Myo Zin; Ha-Thanh Nguyen; Ken Satoh; Saku Sugawara; Fumihito Nishino (ICAIL, 2023)

Information Extraction from Lengthy Legal Contracts: Leveraging Query-Based Summarization and GPT-3.5. - May Myo Zin; Ha-Thanh Nguyen; Ken Satoh; Saku Sugawara; Fumihito Nishino (JURIX, 2023)

What Makes Language Models Good-enough? - Daiki Asami; Saku Sugawara (ACL (Findings), 2024)

Modeling Overregularization in Children with Small Language Models. - Akari Haga; Saku Sugawara; Akiyo Fukatsu; Miyu Oba; Hiroki Ouchi; Taro Watanabe; Yohei Oseki (ACL (Findings), 2024)

Rationale-Aware Answer Verification by Pairwise Self-Evaluation. - Akira Kawabata; Saku Sugawara (EMNLP, 2024)

Can Language Models Induce Grammatical Knowledge from Indirect Evidence? - Miyu Oba; Yohei Oseki; Akiyo Fukatsu; Akari Haga; Hiroki Ouchi; Taro Watanabe; Saku Sugawara (EMNLP, 2024)

MoreHopQA: More Than Multi-hop Reasoning. - Julian Schnitzler; Xanh Ho; Jiahao Huang; Florian Boudin; Saku Sugawara; Akiko Aizawa (CoRR, 2024)

LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs. - Akiko Aizawa; Eiji Aramaki; Bowen Chen; Fei Cheng 002; Hiroyuki Deguchi 002; Rintaro Enomoto; Kazuki Fujii; Kensuke Fukumoto; Takuya Fukushima; Namgi Han; Yuto Harada; Chikara Hashimoto; et al. (CoRR, 2024)

Development of Numerical Error Detection Tasks to Analyze the Numerical Capabilities of Language Models. - Taku Sakamoto; Saku Sugawara; Akiko Aizawa (COLING, 2025)

Automatic Feedback Generation for Short Answer Questions using Answer Diagnostic Graphs. - Momoka Furuhashi; Hiroaki Funayama; Yuya Iwase; Yuichiroh Matsubayashi; Yoriko Isobe; Toru Nagahama; Saku Sugawara; Kentaro Inui (CoRR, 2025)

Measuring Human Involvement in AI-Generated Text: A Case Study on Academic Writing. - Yuchen Guo; Zhicheng Dou; Huy H. Nguyen; Ching-Chun Chang; Saku Sugawara; Isao Echizen (CoRR, 2025)

Quality Text, Robust Vision: The Role of Language in Enhancing Visual Robustness of Vision-Language Models. - Futa Waseda; Saku Sugawara; Isao Echizen (CoRR, 2025)

Are Checklists Really Useful for Automatic Evaluation of Generative Tasks? - Momoka Furuhashi; Kouta Nakayama; Takashi Kodama; Saku Sugawara (CoRR, 2025)