Wheel-Based Stair Climbing Robot with Hopping Mechanism - Fast Stair Climbing and Soft Landing Using Vibration of 2-DOF System -. - Keisuke Sakaguchi; Takayuki Sudo; Naoki Bushida; Yasuhiro Chiba; Yuji Asai; Koki Kikuchi (J. Robotics Mechatronics, 2007)

Wheel-Based Stair Climbing Robot with Hopping Mechanism - Demonstration of Continuous Stair Climbing Using Vibration -. - Yuji Asai; Yasuhiro Chiba; Keisuke Sakaguchi; Naoki Bushida; Hiroshi Ohtsuka; Yusuke Saito; Koki Kikuchi (J. Robotics Mechatronics, 2008)

NAIST at the HOO 2012 Shared Task. - Keisuke Sakaguchi; Yuta Hayashibe; Shuhei Kondo; Lis Kanashiro; Tomoya Mizumoto; Mamoru Komachi; Yuji Matsumoto 001 (BEA@NAACL-HLT, 2012)

Joint English Spelling Error Correction and POS Tagging for Language Learners Writing. - Keisuke Sakaguchi; Tomoya Mizumoto; Mamoru Komachi; Yuji Matsumoto 001 (COLING, 2012)

Discriminative Approach to Fill-in-the-Blank Quiz Generation for Language Learners. - Keisuke Sakaguchi; Yuki Arase; Mamoru Komachi (ACL (2), 2013)

NAIST at the NLI 2013 Shared Task. - Tomoya Mizumoto; Yuta Hayashibe; Keisuke Sakaguchi; Mamoru Komachi; Yuji Matsumoto 001 (BEA@NAACL-HLT, 2013)

NAIST at 2013 CoNLL Grammatical Error Correction Shared Task. - Ippei Yoshimoto; Tomoya Kose; Kensuke Mitsuzawa; Keisuke Sakaguchi; Tomoya Mizumoto; Yuta Hayashibe; Mamoru Komachi; Yuji Matsumoto 001 (CoNLL Shared Task, 2013)

Construction of English MWE Dictionary and its Application to POS Tagging. - Yutaro Shigeto; Ai Azuma; Sorami Hisamoto; Shuhei Kondo; Tomoya Kouse; Keisuke Sakaguchi; Akifumi Yoshimoto; Frances Yung; Yuji Matsumoto 001 (MWE@NAACL-HLT, 2013)

Efficient Elicitation of Annotations for Human Evaluation of Machine Translation. - Keisuke Sakaguchi; Matt Post; Benjamin Van Durme (WMT@ACL, 2014)

Ground Truth for Grammaticality Correction Metrics. - Courtney Napoles; Keisuke Sakaguchi; Matt Post; Joel R. Tetreault (ACL (2), 2015)

Effective Feature Integration for Automated Short Answer Scoring. - Keisuke Sakaguchi; Michael Heilman; Nitin Madnani (HLT-NAACL, 2015)

There's No Comparison: Reference-less Evaluation Metrics in Grammatical Error Correction. - Courtney Napoles; Keisuke Sakaguchi; Joel R. Tetreault (EMNLP, 2016)

Universal Decompositional Semantics on Universal Dependencies. - Aaron Steven White; Dee Ann Reisinger; Keisuke Sakaguchi; Tim Vieira; Sheng Zhang 012; Rachel Rudinger; Kyle Rawlins; Benjamin Van Durme (EMNLP, 2016)

GLEU Without Tuning. - Courtney Napoles; Keisuke Sakaguchi; Matt Post; Joel R. Tetreault (CoRR, 2016)

Reassessing the Goals of Grammatical Error Correction: Fluency Instead of Grammaticality. - Keisuke Sakaguchi; Courtney Napoles; Matt Post; Joel R. Tetreault (Trans. Assoc. Comput. Linguistics, 2016)

Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network. - Keisuke Sakaguchi; Kevin Duh; Matt Post; Benjamin Van Durme (AAAI, 2017)

Error-repair Dependency Parsing for Ungrammatical Texts. - Keisuke Sakaguchi; Matt Post; Benjamin Van Durme (ACL (2), 2017)

GEC into the future: Where are we going and how do we get there? - Keisuke Sakaguchi; Courtney Napoles; Joel R. Tetreault (BEA@EMNLP, 2017)

JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction. - Courtney Napoles; Keisuke Sakaguchi; Joel R. Tetreault (EACL (2), 2017)

Grammatical Error Correction with Neural Reinforcement Learning. - Keisuke Sakaguchi; Matt Post; Benjamin Van Durme (IJCNLP(2), 2017)

Phrase Structure Annotation and Parsing for Learner English. - Keisuke Sakaguchi; Ryo Nagata (Inf. Media Technol., 2017)

Efficient Online Scalar Annotation with Bounded Support. - Keisuke Sakaguchi; Benjamin Van Durme (ACL (1), 2018)

WIQA: A dataset for "What if..." reasoning over procedural text. - Niket Tandon; Bhavana Dalvi; Keisuke Sakaguchi; Peter Clark; Antoine Bosselut (EMNLP/IJCNLP (1), 2019)

Uncertain Natural Language Inference. - Tongfei Chen; Zhengping Jiang; Keisuke Sakaguchi; Benjamin Van Durme (CoRR, 2019)

Uncertain Natural Language Inference. - Tongfei Chen; Zhengping Jiang; Adam Poliak; Keisuke Sakaguchi; Benjamin Van Durme (ACL, 2020)

A Dataset for Tracking Entities in Open Domain Procedural Text. - Niket Tandon; Keisuke Sakaguchi; Bhavana Dalvi; Dheeraj Rajagopal; Peter Clark; Michal Guerquin; Kyle Richardson 001; Eduard H. Hovy (EMNLP (1), 2020)

Abductive Commonsense Reasoning. - Chandra Bhagavatula; Ronan Le Bras 001; Chaitanya Malaviya; Keisuke Sakaguchi; Ari Holtzman; Hannah Rashkin; Doug Downey; Wen-tau Yih; Yejin Choi 001 (ICLR, 2020)

The Universal Decompositional Semantics Dataset and Decomp Toolkit. - Aaron Steven White; Elias Stengel-Eskin; Siddharth Vashishtha; Venkata Subrahmanyan Govindarajan; Dee Ann Reisinger; Tim Vieira; Keisuke Sakaguchi; Sheng Zhang 012; Francis Ferraro; Rachel Rudinger; Kyle Rawlins; Benjamin Van Durme (LREC, 2020)

(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs. - Jena D. Hwang; Chandra Bhagavatula; Ronan Le Bras 001; Jeff Da; Keisuke Sakaguchi; Antoine Bosselut; Yejin Choi 001 (AAAI, 2021)

proScript: Partially Ordered Scripts Generation. - Keisuke Sakaguchi; Chandra Bhagavatula; Ronan Le Bras 001; Niket Tandon; Peter Clark; Yejin Choi 001 (EMNLP (Findings), 2021)

WinoGrande: an adversarial winograd schema challenge at scale. - Keisuke Sakaguchi; Ronan Le Bras 001; Chandra Bhagavatula; Yejin Choi 001 (Commun. ACM, 2021)

GrammarTagger: A Multilingual, Minimally-Supervised Grammar Profiler for Language Education. - Masato Hagiwara; Joshua B. Tanner; Keisuke Sakaguchi (CoRR, 2021)

proScript: Partially Ordered Scripts Generation via Pre-trained Language Models. - Keisuke Sakaguchi; Chandra Bhagavatula; Ronan Le Bras 001; Niket Tandon; Peter Clark; Yejin Choi 001 (CoRR, 2021)

Improving Neural Model Performance through Natural Language Feedback on Their Explanations. - Aman Madaan; Niket Tandon; Dheeraj Rajagopal; Yiming Yang; Peter Clark; Keisuke Sakaguchi; Eduard H. Hovy (CoRR, 2021)

Interscript: A dataset for interactive learning of scripts through error feedback. - Niket Tandon; Aman Madaan; Peter Clark; Keisuke Sakaguchi; Yiming Yang (CoRR, 2021)

Twist Decoding: Diverse Generators Guide Each Other. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Hao Peng 009; Ximing Lu; Dragomir Radev; Yejin Choi 001; Noah A. Smith (EMNLP, 2022)

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Lavinia Dunagan; Jacob Morrison; Alexander R. Fabbri; Yejin Choi 001; Noah A. Smith (NAACL-HLT, 2022)

Transparent Human Evaluation for Image Captioning. - Jungo Kasai; Keisuke Sakaguchi; Lavinia Dunagan; Jacob Morrison; Ronan Le Bras 001; Yejin Choi 001; Noah A. Smith (NAACL-HLT, 2022)

Beam Decoding with Controlled Patience. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Dragomir R. Radev; Yejin Choi 001; Noah A. Smith (CoRR, 2022)

ELQA: A Corpus of Questions and Answers about the English Language. - Shabnam Behzad; Keisuke Sakaguchi; Nathan Schneider 001; Amir Zeldes (CoRR, 2022)

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. - Chandra Bhagavatula; Jena D. Hwang; Doug Downey; Ronan Le Bras 001; Ximing Lu; Keisuke Sakaguchi; Swabha Swayamdipta; Peter West; Yejin Choi 001 (CoRR, 2022)

ELQA: A Corpus of Metalinguistic Questions and Answers about English. - Shabnam Behzad; Keisuke Sakaguchi; Nathan Schneider 001; Amir Zeldes (ACL (1), 2023)

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. - Chandra Bhagavatula; Jena D. Hwang; Doug Downey; Ronan Le Bras 001; Ximing Lu; Lianhui Qin; Keisuke Sakaguchi; Swabha Swayamdipta; Peter West; Yejin Choi 001 (ACL (1), 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)

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

RealTime QA: What's the Answer Right Now? - Jungo Kasai; Keisuke Sakaguchi; Yoichi Takahashi; Ronan Le Bras 001; Akari Asai; Xinyan Yu 001; Dragomir Radev; Noah A. Smith; Yejin Choi 001; Kentaro Inui (NeurIPS, 2023)

An Analysis of GPT-3's Performance in Grammatical Error Correction. - Steven Coyne; Keisuke Sakaguchi (CoRR, 2023)

Causal schema induction for knowledge discovery. - Michael Regan; Jena D. Hwang; Keisuke Sakaguchi; James Pustejovsky (CoRR, 2023)

Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations. - Jungo Kasai; Yuhei Kasai; Keisuke Sakaguchi; Yutaro Yamada; Dragomir Radev (CoRR, 2023)

PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning. - Faeze Brahman; Chandra Bhagavatula; Valentina Pyatkin; Jena D. Hwang; Xiang Lorraine Li; Hirona Jacqueline Arai; Soumya Sanyal 001; Keisuke Sakaguchi; Xiang Ren 001; Yejin Choi 001 (CoRR, 2023)

How Well Do Vision Models Encode Diagram Attributes? - Haruto Yoshida; Keito Kudo; Yoichi Aoki; Ryota Tanaka; Itsumi Saito; Keisuke Sakaguchi; Kentaro Inui (ACL (Student Research Workshop), 2024)

Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond. - Masato Mita; Keisuke Sakaguchi; Masato Hagiwara; Tomoya Mizumoto; Jun Suzuki 001; Kentaro Inui (BEA, 2024)

A Call for Clarity in Beam Search: How It Works and When It Stops. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Dragomir Radev; Yejin Choi 001; Noah A. Smith (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)

PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning. - Faeze Brahman; Chandra Bhagavatula; Valentina Pyatkin; Jena D. Hwang; Xiang Lorraine Li; Hirona Jacqueline Arai; Soumya Sanyal 001; Keisuke Sakaguchi; Xiang Ren 001; Yejin Choi 001 (ICLR, 2024)

A Multimodal Dialogue System to Lead Consensus Building with Emotion-Displaying. - Shinnosuke Nozue; Yuto Nakano; Shoji Moriya; Tomoki Ariyama; Kazuma Kokuta; Suchun Xie; Kai Sato; Shusaku Sone; Ryohei Kamei; Reina Akama; Yuichiroh Matsubayashi; Keisuke Sakaguchi (SIGDIAL, 2024)

J-UniMorph: Japanese Morphological Annotation through the Universal Feature Schema. - Kosuke Matsuzaki; Masaya Taniguchi; Kentaro Inui; Keisuke Sakaguchi (CoRR, 2024)

ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation. - Ana Brassard; Benjamin Heinzerling; Keito Kudo; Keisuke Sakaguchi; Kentaro Inui (CoRR, 2024)

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)

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)

Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection. - Subaru Kimura; Ryota Tanaka; Shumpei Miyawaki; Jun Suzuki 001; Keisuke Sakaguchi (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)

Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset. - Diana Galván-Sosa; Gabrielle Gaudeau; Pride Kavumba; Yunmeng Li; Hongyi Gu; Zheng Yuan 003; Keisuke Sakaguchi; Paula Buttery (ACL (1), 2025)

Annotating Errors in English Learners' Written Language Production: Advancing Automated Written Feedback Systems. - Steven Coyne; Diana Galván-Sosa; Ryan Spring; Camélia Guerraoui; Michael Zock; Keisuke Sakaguchi; Kentaro Inui (AIED (4), 2025)

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

Sketch2Diagram: Generating Vector Diagrams from Hand-Drawn Sketches. - Itsumi Saito; Haruto Yoshida; Keisuke Sakaguchi (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)

Self-Training Meets Consistency: Improving LLMs' Reasoning with Consistency-Driven Rationale Evaluation. - Jaehyeok Lee; Keisuke Sakaguchi; JinYeong Bak (NAACL (Long Papers), 2025)

Language Models can Categorize System Inputs for Performance Analysis. - Dominic Sobhani; Ruiqi Zhong; Edison Marrese-Taylor; Keisuke Sakaguchi; Yutaka Matsuo (NAACL (Long Papers), 2025)

Investigating machine moral judgement through the Delphi experiment. - Liwei Jiang; Jena D. Hwang; Chandra Bhagavatula; Ronan Le Bras 001; Jenny T. Liang; Sydney Levine; Jesse Dodge; Keisuke Sakaguchi; Maxwell Forbes; Jack Hessel; Jonathan Borchardt; Taylor Sorensen; et al. (Nat. Mac. Intell., 2025)

FinchGPT: a Transformer based language model for birdsong analysis. - Kosei Kobayashi; Kosuke Matsuzaki; Masaya Taniguchi; Keisuke Sakaguchi; Kentaro Inui; Kentaro Abe (CoRR, 2025)