Keisuke Sakaguchi

According to our database, Keisuke Sakaguchi authored at least 62 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection.

Subaru Kimura, Ryota Tanaka, Shumpei Miyawaki, Jun Suzuki, Keisuke Sakaguchi

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, Hiroyuki Deguchi, Rintaro Enomoto, Kazuki Fujii, Kensuke Fukumoto, Takuya Fukushima, Namgi Han, Yuto Harada, Chikara Hashimoto, Tatsuya Hiraoka, Shohei Hisada, Sosuke Hosokawa, Lu Jie, Keisuke Kamata, Teruhito Kanazawa, Hiroki Kanezashi, Hiroshi Kataoka, Satoru Katsumata, Daisuke Kawahara, Seiya Kawano, Atsushi Keyaki, Keisuke Kiryu, Hirokazu Kiyomaru, Takashi Kodama, Takahiro Kubo, Yohei Kuga, Ryoma Kumon, Shuhei Kurita, Sadao Kurohashi, Conglong Li, Taiki Maekawa, Hiroshi Matsuda, Yusuke Miyao, Kentaro Mizuki, Sakae Mizuki, Yugo Murawaki, Ryo Nakamura, Taishi Nakamura, Kouta Nakayama, Tomoka Nakazato, Takuro Niitsuma, Jiro Nishitoba, Yusuke Oda, Hayato Ogawa, Takumi Okamoto, Naoaki Okazaki, Yohei Oseki, Shintaro Ozaki, Koki Ryu, Rafal Rzepka, Keisuke Sakaguchi, Shota Sasaki, Satoshi Sekine, Kohei Suda, Saku Sugawara, Issa Sugiura, Hiroaki Sugiyama, Hisami Suzuki, Jun Suzuki, Toyotaro Suzumura, Kensuke Tachibana, Yu Takagi, Kyosuke Takami, Koichi Takeda, Masashi Takeshita, Masahiro Tanaka, Kenjiro Taura, Arseny Tolmachev, Nobuhiro Ueda, Zhen Wan, Shuntaro Yada, Sakiko Yahata, Yuya Yamamoto, Yusuke Yamauchi, Hitomi Yanaka, Rio Yokota, Koichiro Yoshino

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

ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation.

Ana Brassard, Benjamin Heinzerling, Keito Kudo, Keisuke Sakaguchi, Kentaro Inui

CoRR, 2024

J-UniMorph: Japanese Morphological Annotation through the Universal Feature Schema.

Kosuke Matsuzaki, Masaya Taniguchi, Kentaro Inui, Keisuke Sakaguchi

CoRR, 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

Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 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, Keisuke Sakaguchi, Xiang Ren, Yejin Choi

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Call for Clarity in Beam Search: How It Works and When It Stops.

Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir Radev, Yejin Choi, Noah A. Smith

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond.

Masato Mita, Keisuke Sakaguchi, Masato Hagiwara, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui

Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, 2024

How Well Do Vision Models Encode Diagram Attributes?

Haruto Yoshida, Keito Kudo, Yoichi Aoki, Ryota Tanaka, Itsumi Saito, Keisuke Sakaguchi, Kentaro Inui

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

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, Keisuke Sakaguchi, Xiang Ren, Yejin Choi

CoRR, 2023

Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations.

Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, Dragomir Radev

CoRR, 2023

Causal schema induction for knowledge discovery.

Michael Regan, Jena D. Hwang, Keisuke Sakaguchi, James Pustejovsky

CoRR, 2023

An Analysis of GPT-3's Performance in Grammatical Error Correction.

Steven Coyne, Keisuke Sakaguchi

CoRR, 2023

RealTime QA: What's the Answer Right Now?

Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Test-time Augmentation for Factual Probing.

Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi, Kentaro Inui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?

Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Empirical Investigation of Neural Symbolic Reasoning Strategies.

Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.

Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ELQA: A Corpus of Metalinguistic Questions and Answers about English.

Shabnam Behzad, Keisuke Sakaguchi, Nathan Schneider, Amir Zeldes

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation.

Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi

CoRR, 2022

ELQA: A Corpus of Questions and Answers about the English Language.

Shabnam Behzad, Keisuke Sakaguchi, Nathan Schneider, Amir Zeldes

CoRR, 2022

Beam Decoding with Controlled Patience.

Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir R. Radev, Yejin Choi, Noah A. Smith

CoRR, 2022

Transparent Human Evaluation for Image Captioning.

Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand.

Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Twist Decoding: Diverse Generators Guide Each Other.

Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Interscript: A dataset for interactive learning of scripts through error feedback.

Niket Tandon, Aman Madaan, Peter Clark, Keisuke Sakaguchi, Yiming Yang

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

proScript: Partially Ordered Scripts Generation via Pre-trained Language Models.

Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi

CoRR, 2021

GrammarTagger: A Multilingual, Minimally-Supervised Grammar Profiler for Language Education.

Masato Hagiwara, Joshua B. Tanner, Keisuke Sakaguchi

CoRR, 2021

WinoGrande: an adversarial winograd schema challenge at scale.

Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

Commun. ACM, 2021

proScript: Partially Ordered Scripts Generation.

Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs.

Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Abductive Commonsense Reasoning.

Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi

Proceedings of the 8th International Conference on Learning Representations, 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, Eduard H. Hovy

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Uncertain Natural Language Inference.

Tongfei Chen, Zhengping Jiang, Adam Poliak, Keisuke Sakaguchi, Benjamin Van Durme

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Uncertain Natural Language Inference.

Tongfei Chen, Zhengping Jiang, Keisuke Sakaguchi, Benjamin Van Durme

CoRR, 2019

WIQA: A dataset for "What if..." reasoning over procedural text.

Niket Tandon, Bhavana Dalvi, Keisuke Sakaguchi, Peter Clark, Antoine Bosselut

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Efficient Online Scalar Annotation with Bounded Support.

Keisuke Sakaguchi, Benjamin Van Durme

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Phrase Structure Annotation and Parsing for Learner English.

Keisuke Sakaguchi, Ryo Nagata

Inf. Media Technol., 2017

Grammatical Error Correction with Neural Reinforcement Learning.

Keisuke Sakaguchi, Matt Post, Benjamin Van Durme

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction.

Courtney Napoles, Keisuke Sakaguchi, Joel R. Tetreault

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

GEC into the future: Where are we going and how do we get there?

Keisuke Sakaguchi, Courtney Napoles, Joel R. Tetreault

Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017

Error-repair Dependency Parsing for Ungrammatical Texts.

Keisuke Sakaguchi, Matt Post, Benjamin Van Durme

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network.

Keisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

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

GLEU Without Tuning.

Courtney Napoles, Keisuke Sakaguchi, Matt Post, Joel R. Tetreault

CoRR, 2016

Universal Decompositional Semantics on Universal Dependencies.

Aaron Steven White, Dee Ann Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

There's No Comparison: Reference-less Evaluation Metrics in Grammatical Error Correction.

Courtney Napoles, Keisuke Sakaguchi, Joel R. Tetreault

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Effective Feature Integration for Automated Short Answer Scoring.

Keisuke Sakaguchi, Michael Heilman, Nitin Madnani

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Ground Truth for Grammaticality Correction Metrics.

Courtney Napoles, Keisuke Sakaguchi, Matt Post, Joel R. Tetreault

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Efficient Elicitation of Annotations for Human Evaluation of Machine Translation.

Keisuke Sakaguchi, Matt Post, Benjamin Van Durme

Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

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

Proceedings of the 9th Workshop on Multiword Expressions, 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

Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task, 2013

NAIST at the NLI 2013 Shared Task.

Tomoya Mizumoto, Yuta Hayashibe, Keisuke Sakaguchi, Mamoru Komachi, Yuji Matsumoto

Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications, 2013

Discriminative Approach to Fill-in-the-Blank Quiz Generation for Language Learners.

Keisuke Sakaguchi, Yuki Arase, Mamoru Komachi

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Joint English Spelling Error Correction and POS Tagging for Language Learners Writing.

Keisuke Sakaguchi, Tomoya Mizumoto, Mamoru Komachi, Yuji Matsumoto

Proceedings of the COLING 2012, 2012

NAIST at the HOO 2012 Shared Task.

Keisuke Sakaguchi, Yuta Hayashibe, Shuhei Kondo, Lis Kanashiro, Tomoya Mizumoto, Mamoru Komachi, Yuji Matsumoto

Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, 2012

2008

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

2007

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