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Saku Sugawara
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2020 – today
- 2024
- [c29]Akari Haga, Saku Sugawara, Akiyo Fukatsu, Miyu Oba, Hiroki Ouchi, Taro Watanabe, Yohei Oseki:
Modeling Overregularization in Children with Small Language Models. ACL (Findings) 2024: 14532-14550 - [c28]Daiki Asami, Saku Sugawara:
What Makes Language Models Good-enough? ACL (Findings) 2024: 15453-15467 - [c27]Akira Kawabata, Saku Sugawara:
Rationale-Aware Answer Verification by Pairwise Self-Evaluation. EMNLP 2024: 16178-16196 - [c26]Miyu Oba, Yohei Oseki, Akiyo Fukatsu, Akari Haga, Hiroki Ouchi, Taro Watanabe, Saku Sugawara:
Can Language Models Induce Grammatical Knowledge from Indirect Evidence? EMNLP 2024: 20591-20603 - [i26]Daiki Asami, Saku Sugawara:
What Makes Language Models Good-enough? CoRR abs/2406.03666 (2024) - [i25]Julian Schnitzler, Xanh Ho, Jiahao Huang, Florian Boudin, Saku Sugawara, Akiko Aizawa:
MoreHopQA: More Than Multi-hop Reasoning. CoRR abs/2406.13397 (2024) - [i24]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:
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs. CoRR abs/2407.03963 (2024) - [i23]Akira Kawabata, Saku Sugawara:
Rationale-Aware Answer Verification by Pairwise Self-Evaluation. CoRR abs/2410.04838 (2024) - [i22]Miyu Oba, Yohei Oseki, Akiyo Fukatsu, Akari Haga, Hiroki Ouchi, Taro Watanabe, Saku Sugawara:
Can Language Models Induce Grammatical Knowledge from Indirect Evidence? CoRR abs/2410.06022 (2024) - 2023
- [c25]Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Which Shortcut Solution Do Question Answering Models Prefer to Learn? AAAI 2023: 13564-13572 - [c24]Kazushi Kondo, Saku Sugawara, Akiko Aizawa:
Probing Physical Reasoning with Counter-Commonsense Context. ACL (2) 2023: 603-612 - [c23]Saku Sugawara, Shun Tsugita:
On Degrees of Freedom in Defining and Testing Natural Language Understanding. ACL (Findings) 2023: 13625-13649 - [c22]Daiki Asami, Saku Sugawara:
PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments. CoNLL 2023: 122-137 - [c21]Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa:
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering. EACL (Findings) 2023: 1133-1150 - [c20]Akira Kawabata, Saku Sugawara:
Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading Comprehension. EMNLP 2023: 116-143 - [c19]May Myo Zin
, Ha-Thanh Nguyen
Improving Translation of Case Descriptions into Logical Fact Formulas using LegalCaseNER. ICAIL 2023: 462-466 - [c18]May Myo Zin
Information Extraction from Lengthy Legal Contracts: Leveraging Query-Based Summarization and GPT-3.5. JURIX 2023: 177-186 - [i21]Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa:
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering. CoRR abs/2302.05963 (2023) - [i20]Saku Sugawara, Shun Tsugita:
On Degrees of Freedom in Defining and Testing Natural Language Understanding. CoRR abs/2305.15130 (2023) - [i19]Kazushi Kondo, Saku Sugawara, Akiko Aizawa:
Probing Physical Reasoning with Counter-Commonsense Context. CoRR abs/2306.02258 (2023) - [i18]Akira Kawabata, Saku Sugawara:
Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading Comprehension. CoRR abs/2311.18353 (2023) - [i17]Daiki Asami, Saku Sugawara:
PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments. CoRR abs/2312.08755 (2023) - 2022
- [c17]Saku Sugawara, Nikita Nangia, Alex Warstadt, Samuel R. Bowman:
What Makes Reading Comprehension Questions Difficult? ACL (1) 2022: 6951-6971 - [c16]Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering. BlackboxNLP@EMNLP 2022: 418-425 - [c15]Mana Ashida, Saku Sugawara:
Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios. COLING 2022: 3606-3630 - [c14]Hongkuan Zhang, Saku Sugawara, Akiko Aizawa, Lei Zhou, Ryohei Sasano, Koichi Takeda:
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning. EMNLP 2022: 7599-7606 - [c13]Johannes Mario Meissner, Saku Sugawara, Akiko Aizawa:
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU. EMNLP 2022: 7607-7613 - [c12]Xanh Ho, Saku Sugawara, Akiko Aizawa:
How Well Do Multi-hop Reading Comprehension Models Understand Date Information? AACL/IJCNLP (2) 2022: 470-479 - [c11]Teruhito Kanazawa, Hidekazu Nakawatase, Saku Sugawara, Chifumi Nishioka:
Interdisciplinarity Inference Using a Cross Encoder between Research Projects. SCIS/ISIS 2022: 1-4 - [i16]Saku Sugawara, Nikita Nangia, Alex Warstadt, Samuel R. Bowman:
What Makes Reading Comprehension Questions Difficult? CoRR abs/2203.06342 (2022) - [i15]Xanh Ho, Johannes Mario Meissner, Saku Sugawara, Akiko Aizawa:
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension. CoRR abs/2209.01824 (2022) - [i14]Mana Ashida, Saku Sugawara:
Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios. CoRR abs/2209.07760 (2022) - [i13]Xanh Ho, Saku Sugawara, Akiko Aizawa:
How Well Do Multi-hop Reading Comprehension Models Understand Date Information? CoRR abs/2210.05208 (2022) - [i12]Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering. CoRR abs/2210.14541 (2022) - [i11]Johannes Mario Meissner, Saku Sugawara, Akiko N. Aizawa:
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU. CoRR abs/2210.16079 (2022) - [i10]Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering. CoRR abs/2211.16093 (2022) - [i9]Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Which Shortcut Solution Do Question Answering Models Prefer to Learn? CoRR abs/2211.16220 (2022) - [i8]Hongkuan Zhang, Saku Sugawara, Akiko Aizawa, Lei Zhou, Ryohei Sasano, Koichi Takeda:
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning. CoRR abs/2212.07075 (2022) - 2021
- [c10]Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation. ACL (student) 2021: 197-214 - [c9]Johannes Mario Meissner, Napat Thumwanit, Saku Sugawara, Akiko Aizawa:
Embracing Ambiguity: Shifting the Training Target of NLI Models. ACL/IJCNLP (2) 2021: 862-869 - [c8]Nikita Nangia, Saku Sugawara, Harsh Trivedi, Alex Warstadt, Clara Vania, Samuel R. Bowman:
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? ACL/IJCNLP (1) 2021: 1221-1235 - [c7]Saku Sugawara, Pontus Stenetorp, Akiko Aizawa:
Benchmarking Machine Reading Comprehension: A Psychological Perspective. EACL 2021: 1592-1612 - [i7]Nikita Nangia, Saku Sugawara, Harsh Trivedi, Alex Warstadt, Clara Vania, Samuel R. Bowman:
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? CoRR abs/2106.00794 (2021) - [i6]Johannes Mario Meissner, Napat Thumwanit, Saku Sugawara, Akiko Aizawa:
Embracing Ambiguity: Shifting the Training Target of NLI Models. CoRR abs/2106.03020 (2021) - [i5]Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa:
Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap. CoRR abs/2109.11256 (2021) - 2020
- [c6]Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa:
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. AAAI 2020: 8918-8927 - [c5]Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa:
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps. COLING 2020: 6609-6625 - [i4]Saku Sugawara, Pontus Stenetorp, Akiko Aizawa:
Prerequisites for Explainable Machine Reading Comprehension: A Position Paper. CoRR abs/2004.01912 (2020) - [i3]Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa:
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps. CoRR abs/2011.01060 (2020)
2010 – 2019
- 2019
- [i2]Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa:
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets. CoRR abs/1911.09241 (2019) - 2018
- [c4]Saku Sugawara, Kentaro Inui, Satoshi Sekine, Akiko Aizawa:
What Makes Reading Comprehension Questions Easier? EMNLP 2018: 4208-4219 - [i1]Saku Sugawara, Kentaro Inui, Satoshi Sekine, Akiko Aizawa:
What Makes Reading Comprehension Questions Easier? CoRR abs/1808.09384 (2018) - 2017
- [c3]Saku Sugawara, Hikaru Yokono, Akiko Aizawa:
Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems. AAAI 2017: 3089-3096 - [c2]Saku Sugawara, Yusuke Kido, Hikaru Yokono, Akiko Aizawa:
Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability. ACL (1) 2017: 806-817 - 2016
- [c1]Kimi Kaneko, Saku Sugawara, Koji Mineshima, Daisuke Bekki:
Annotation and Analysis of Discourse Relations, Temporal Relations and Multi-Layered Situational Relations in Japanese Texts. ALR@COLING 2016: 10-19
Coauthor Index
aka: Akiko N. Aizawa
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last updated on 2024-11-18 20:42 CET by the dblp team
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