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ORCIDTatsuki Kuribayashi
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2020 – today
- 2024
[c24]Tatsuki Kuribayashi, Ryo Ueda, Ryo Yoshida, Yohei Oseki, Ted Briscoe, Timothy Baldwin:
Emergent Word Order Universals from Cognitively-Motivated Language Models. ACL (1) 2024: 14522-14543- [c23]Yukiko Ishizuki, Tatsuki Kuribayashi, Yuichiroh Matsubayashi, Ryohei Sasano, Kentaro Inui:
To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese. LREC/COLING 2024: 16198-16210 - [c22]Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Keisuke Sakaguchi, Kentaro Inui:
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning. EMNLP 2024: 14255-14271 - [c21]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps. ICLR 2024 - [c20]Tatsuki Kuribayashi, Yohei Oseki, Timothy Baldwin:
Psychometric Predictive Power of Large Language Models. NAACL-HLT (Findings) 2024: 1983-2005 - [i23]Tatsuki Kuribayashi, Ryo Ueda, Ryo Yoshida, Yohei Oseki, Ted Briscoe, Timothy Baldwin:
Emergent Word Order Universals from Cognitively-Motivated Language Models. CoRR abs/2402.12363 (2024) - [i22]Yukiko Ishizuki, Tatsuki Kuribayashi, Yuichiroh Matsubayashi, Ryohei Sasano, Kentaro Inui:
To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese. CoRR abs/2404.11315 (2024) - [i21]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, Christian Salamea, Dan John Velasco, David Ifeoluwa Adelani, David Le Meur, Emilio Villa-Cueva, Fajri Koto, Fauzan Farooqui, Frederico Belcavello, Ganzorig Batnasan, Gisela Vallejo, Grainne Caulfield, Guido Ivetta, Haiyue Song, Henok Biadglign Ademtew, Hernán Maina, Holy Lovenia, Israel Abebe Azime, Jan Christian Blaise Cruz, Jay P. Gala, Jiahui Geng, Jesús-Germán Ortiz-Barajas, Jinheon Baek, Jocelyn Dunstan, Laura Alonso Alemany, Kumaranage Ravindu Yasas Nagasinghe, Luciana Benotti, Luis Fernando D'Haro, Marcelo Viridiano, Marcos Estecha-Garitagoitia, Maria Camila Buitrago Cabrera, Mario Rodríguez-Cantelar, Mélanie Jouitteau, Mihail Mihaylov, Mohamed Fazli Mohamed Imam, Muhammad Farid Adilazuarda, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Naome A. Etori, Olivier Niyomugisha, Paula Mónica Silva, Pranjal A. Chitale, Raj Dabre, Rendi Chevi, Ruochen Zhang, Ryandito Diandaru, Samuel Cahyawijaya, Santiago Góngora, Soyeong Jeong, Sukannya Purkayastha, Tatsuki Kuribayashi, Thanmay Jayakumar, Tiago Timponi Torrent, Toqeer Ehsan, Vladimir Araujo, Yova Kementchedjhieva, Zara Burzo, Zheng Wei Lim, Zheng Xin Yong, Oana Ignat, Joan Nwatu, Rada Mihalcea, Thamar Solorio, Alham Fikri Aji:
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. CoRR abs/2406.05967 (2024) - [i20]Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Keisuke Sakaguchi, Kentaro Inui:
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning. CoRR abs/2406.16078 (2024) - 2023
- [c19]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Transformer Language Models Handle Word Frequency in Prediction Head. ACL (Findings) 2023: 4523-4535 - [c18]Miyu Oba, Tatsuki Kuribayashi, Hiroki Ouchi, Taro Watanabe:
Second Language Acquisition of Neural Language Models. ACL (Findings) 2023: 13557-13572 - [c17]Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui:
Empirical Investigation of Neural Symbolic Reasoning Strategies. EACL (Findings) 2023: 1124-1132 - [c16]Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui:
Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning? EACL 2023: 1343-1354 - [c15]Mengyu Ye, Tatsuki Kuribayashi, Jun Suzuki, Goro Kobayashi, Hiroaki Funayama:
Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism. EMNLP 2023: 14753-14773 - [c14]Takumi Ito
, Naomi Yamashita, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Ge Gao, Jack Jamieson, Kentaro Inui:
Use of an AI-powered Rewriting Support Software in Context with Other Tools: A Study of Non-Native English Speakers. UIST 2023: 45:1-45:13 - [i19]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Feed-Forward Blocks Control Contextualization in Masked Language Models. CoRR abs/2302.00456 (2023) - [i18]Tatsuki Kuribayashi:
Does Vision Accelerate Hierarchical Generalization of Neural Language Learners? CoRR abs/2302.00667 (2023) - [i17]Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui:
Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning? CoRR abs/2302.07866 (2023) - [i16]Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui:
Empirical Investigation of Neural Symbolic Reasoning Strategies. CoRR abs/2302.08148 (2023) - [i15]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Transformer Language Models Handle Word Frequency in Prediction Head. CoRR abs/2305.18294 (2023) - [i14]Miyu Oba, Tatsuki Kuribayashi, Hiroki Ouchi, Taro Watanabe:
Second Language Acquisition of Neural Language Models. CoRR abs/2306.02920 (2023) - [i13]Mengyu Ye, Tatsuki Kuribayashi, Jun Suzuki, Goro Kobayashi, Hiroaki Funayama:
Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism. CoRR abs/2310.14868 (2023) - [i12]Tatsuki Kuribayashi, Yohei Oseki, Timothy Baldwin:
Psychometric Predictive Power of Large Language Models. CoRR abs/2311.07484 (2023) - 2022
- [c13]Riki Fujihara, Tatsuki Kuribayashi, Kaori Abe, Ryoko Tokuhisa, Kentaro Inui:
Topicalization in Language Models: A Case Study on Japanese. COLING 2022: 851-862 - [c12]Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard, Kentaro Inui:
Context Limitations Make Neural Language Models More Human-Like. EMNLP 2022: 10421-10436 - [i11]Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard, Kentaro Inui:
Context Limitations Make Neural Language Models More Human-Like. CoRR abs/2205.11463 (2022) - 2021
- [j1]Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui:
Instance-Based Neural Dependency Parsing. Trans. Assoc. Comput. Linguistics 9: 1493-1507 (2021) - [c11]Tatsuki Kuribayashi, Yohei Oseki, Takumi Ito, Ryo Yoshida, Masayuki Asahara, Kentaro Inui:
Lower Perplexity is Not Always Human-Like. ACL/IJCNLP (1) 2021: 5203-5217 - [c10]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. EMNLP (1) 2021: 4547-4568 - [i10]Tatsuki Kuribayashi, Yohei Oseki, Takumi Ito, Ryo Yoshida, Masayuki Asahara, Kentaro Inui:
Lower Perplexity is Not Always Human-Like. CoRR abs/2106.01229 (2021) - [i9]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. CoRR abs/2109.07152 (2021) - [i8]Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui:
Instance-Based Neural Dependency Parsing. CoRR abs/2109.13497 (2021) - 2020
- [c9]Tatsuki Kuribayashi, Takumi Ito, Jun Suzuki, Kentaro Inui:
Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese. ACL 2020: 488-504 - [c8]Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui:
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition. ACL 2020: 6452-6459 - [c7]Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui:
Modeling Event Salience in Narratives via Barthes' Cardinal Functions. COLING 2020: 1784-1794 - [c6]Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui:
Langsmith: An Interactive Academic Text Revision System. EMNLP (Demos) 2020: 216-226 - [c5]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Attention is Not Only a Weight: Analyzing Transformers with Vector Norms. EMNLP (1) 2020: 7057-7075 - [i7]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Attention Module is Not Only a Weight: Analyzing Transformers with Vector Norms. CoRR abs/2004.10102 (2020) - [i6]Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui:
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition. CoRR abs/2004.14514 (2020) - [i5]Tatsuki Kuribayashi, Takumi Ito, Jun Suzuki, Kentaro Inui:
Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese. CoRR abs/2005.00842 (2020) - [i4]Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui:
Langsmith: An Interactive Academic Text Revision System. CoRR abs/2010.04332 (2020) - [i3]Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui:
Modeling Event Salience in Narratives via Barthes' Cardinal Functions. CoRR abs/2011.01785 (2020)
2010 – 2019
- 2019
- [c4]Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, Kentaro Inui:
An Empirical Study of Span Representations in Argumentation Structure Parsing. ACL (1) 2019: 4691-4698 - [c3]Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui:
TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. EMNLP/IJCNLP (3) 2019: 229-234 - [c2]Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui:
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance. INLG 2019: 40-53 - [i2]Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui:
TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. CoRR abs/1909.02621 (2019) - [i1]Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui:
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance. CoRR abs/1910.09180 (2019) - 2018
- [c1]Paul Reisert, Naoya Inoue, Tatsuki Kuribayashi, Kentaro Inui:
Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates. ArgMining@EMNLP 2018: 79-89
Coauthor Index
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last updated on 2024-11-15 19:24 CET by the dblp team
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