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ORCIDJungo Kasai
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2020 – today
- 2024
[j1]Yutaro Yamada, Yihan Bao, Andrew Kyle Lampinen, Jungo Kasai, Ilker Yildirim:
Evaluating Spatial Understanding of Large Language Models. Trans. Mach. Learn. Res. 2024 (2024)- [c34]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir Radev, Yejin Choi, Noah A. Smith:
A Call for Clarity in Beam Search: How It Works and When It Stops. LREC/COLING 2024: 77-90 - [c33]Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander R. Fabbri, Wojciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev:
FOLIO: Natural Language Reasoning with First-Order Logic. EMNLP 2024: 22017-22031 - 2023
- [c32]Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
One Embedder, Any Task: Instruction-Finetuned Text Embeddings. ACL (Findings) 2023: 1102-1121 - [c31]Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith:
NarrowBERT: Accelerating Masked Language Model Pretraining and Inference. ACL (2) 2023: 1723-1730 - [c30]Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, Alham Fikri Aji, David Ifeoluwa Adelani, Khalid Almubarak, M. Saiful Bari
, Lintang Sutawika, Jungo Kasai, Ahmed Baruwa, Genta Indra Winata, Stella Biderman, Edward Raff, Dragomir Radev, Vassilina Nikoulina:
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. ACL (1) 2023: 11682-11703 - [c29]Zhoujun Cheng, Jungo Kasai, Tao Yu:
Batch Prompting: Efficient Inference with Large Language Model APIs. EMNLP (Industry Track) 2023: 792-810 - [c28]Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov:
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. EMNLP 2023: 9904-9923 - [c27]Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith:
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. ICCV 2023: 20349-20360 - [c26]Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Selective Annotation Makes Language Models Better Few-Shot Learners. ICLR 2023 - [c25]Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui:
RealTime QA: What's the Answer Right Now? NeurIPS 2023 - [i36]Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith:
NarrowBERT: Accelerating Masked Language Model Pretraining and Inference. CoRR abs/2301.04761 (2023) - [i35]Zhoujun Cheng, Jungo Kasai, Tao Yu:
Batch Prompting: Efficient Inference with Large Language Model APIs. CoRR abs/2301.08721 (2023) - [i34]Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith:
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. CoRR abs/2303.11897 (2023) - [i33]Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, Dragomir Radev:
Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations. CoRR abs/2303.18027 (2023) - [i32]Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov:
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. CoRR abs/2305.13707 (2023) - [i31]John J. Nay, David Karamardian, Sarah B. Lawsky, Wenting Tao, Meghana Bhat, Raghav Jain, Aaron Travis Lee, Jonathan H. Choi, Jungo Kasai:
Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence. CoRR abs/2306.07075 (2023) - [i30]Yutaro Yamada, Yihan Bao, Andrew K. Lampinen, Jungo Kasai, Ilker Yildirim:
Evaluating Spatial Understanding of Large Language Models. CoRR abs/2310.14540 (2023) - [i29]Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith:
ACID: Abstractive, Content-Based IDs for Document Retrieval with Language Models. CoRR abs/2311.08593 (2023) - 2022
- [c24]Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith:
ABC: Attention with Bounded-memory Control. ACL (1) 2022: 7469-7483 - [c23]Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz:
How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. EMNLP (Findings) 2022: 1403-1416 - [c22]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith:
Twist Decoding: Diverse Generators Guide Each Other. EMNLP 2022: 4909-4923 - [c21]Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld:
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation. EMNLP 2022: 11444-11458 - [c20]Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. NAACL-HLT 2022: 780-799 - [c19]Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith:
Transparent Human Evaluation for Image Captioning. NAACL-HLT 2022: 3464-3478 - [c18]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith:
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. NAACL-HLT 2022: 3540-3557 - [i28]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Dragomir R. Radev, Yejin Choi, Noah A. Smith:
Beam Decoding with Controlled Patience. CoRR abs/2204.05424 (2022) - [i27]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir R. Radev, Yejin Choi, Noah A. Smith:
Twist Decoding: Diverse Generators Guide Each Other. CoRR abs/2205.09273 (2022) - [i26]Akari Asai, Shayne Longpre, Jungo Kasai, Chia-Hsuan Lee, Rui Zhang, Junjie Hu, Ikuya Yamada, Jonathan H. Clark, Eunsol Choi:
MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages. CoRR abs/2207.00758 (2022) - [i25]Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir R. Radev, Noah A. Smith, Yejin Choi, Kentaro Inui:
RealTime QA: What's the Answer Right Now? CoRR abs/2207.13332 (2022) - [i24]Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Luke Benson, Lucy Sun, Ekaterina Zubova, Yujie Qiao, Matthew Burtell, David Peng, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Shafiq R. Joty, Alexander R. Fabbri, Wojciech Kryscinski, Xi Victoria Lin, Caiming Xiong, Dragomir Radev:
FOLIO: Natural Language Reasoning with First-Order Logic. CoRR abs/2209.00840 (2022) - [i23]Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Selective Annotation Makes Language Models Better Few-Shot Learners. CoRR abs/2209.01975 (2022) - [i22]Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz:
How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. CoRR abs/2211.03495 (2022) - [i21]Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, Alham Fikri Aji, David Ifeoluwa Adelani, Khalid Almubarak, M. Saiful Bari, Lintang Sutawika, Jungo Kasai, Ahmed Baruwa, Genta Indra Winata, Stella Biderman, Dragomir Radev, Vassilina Nikoulina:
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. CoRR abs/2212.09535 (2022) - [i20]Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
One Embedder, Any Task: Instruction-Finetuned Text Embeddings. CoRR abs/2212.09741 (2022) - 2021
- [c17]Zeyu Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith:
Probing Across Time: What Does RoBERTa Know and When? EMNLP (Findings) 2021: 820-842 - [c16]Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith:
Finetuning Pretrained Transformers into RNNs. EMNLP (1) 2021: 10630-10643 - [c15]Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith:
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation. ICLR 2021 - [c14]Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi:
XOR QA: Cross-lingual Open-Retrieval Question Answering. NAACL-HLT 2021: 547-564 - [c13]Akari Asai, Xinyan Yu, Jungo Kasai, Hanna Hajishirzi:
One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval. NeurIPS 2021: 7547-7560 - [c12]Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ondrej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-jussà, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin, Marcos Zampieri:
Findings of the 2021 Conference on Machine Translation (WMT21). WMT@EMNLP 2021: 1-88 - [i19]Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld:
GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation. CoRR abs/2101.06561 (2021) - [i18]Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith:
Finetuning Pretrained Transformers into RNNs. CoRR abs/2103.13076 (2021) - [i17]Leo Z. Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith:
Probing Across Time: What Does RoBERTa Know and When? CoRR abs/2104.07885 (2021) - [i16]Akari Asai, Xinyan Yu, Jungo Kasai, Hannaneh Hajishirzi:
One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval. CoRR abs/2107.11976 (2021) - [i15]Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith:
ABC: Attention with Bounded-memory Control. CoRR abs/2110.02488 (2021) - [i14]Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan, Jacob Morrison, Ronan Le Bras, Yejin Choi, Noah A. Smith:
Transparent Human Evaluation for Image Captioning. CoRR abs/2111.08940 (2021) - [i13]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith:
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. CoRR abs/2112.04139 (2021) - [i12]Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. CoRR abs/2112.08726 (2021) - 2020
- [c11]Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu:
Non-autoregressive Machine Translation with Disentangled Context Transformer. ICML 2020: 5144-5155 - [i11]Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu:
Parallel Machine Translation with Disentangled Context Transformer. CoRR abs/2001.05136 (2020) - [i10]Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith:
Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation. CoRR abs/2006.10369 (2020) - [i9]Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi:
XOR QA: Cross-lingual Open-Retrieval Question Answering. CoRR abs/2010.11856 (2020)
2010 – 2019
- 2019
- [c10]Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev:
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. AAAI 2019: 7386-7393 - [c9]Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, Lucian Popa:
Low-resource Deep Entity Resolution with Transfer and Active Learning. ACL (1) 2019: 5851-5861 - [c8]Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Low-Resource Parsing with Crosslingual Contextualized Representations. CoNLL 2019: 304-315 - [c7]Jungo Kasai, Dan Friedman, Robert Frank, Dragomir R. Radev, Owen Rambow:
Syntax-aware Neural Semantic Role Labeling with Supertags. NAACL-HLT (1) 2019: 701-709 - [c6]Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Polyglot Contextual Representations Improve Crosslingual Transfer. NAACL-HLT (1) 2019: 3912-3918 - [i8]Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Polyglot Contextual Representations Improve Crosslingual Transfer. CoRR abs/1902.09697 (2019) - [i7]Jungo Kasai, Dan Friedman, Robert Frank, Dragomir R. Radev, Owen Rambow:
Syntax-aware Neural Semantic Role Labeling with Supertags. CoRR abs/1903.05260 (2019) - [i6]Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, Lucian Popa:
Low-resource Deep Entity Resolution with Transfer and Active Learning. CoRR abs/1906.08042 (2019) - [i5]Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev:
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. CoRR abs/1909.01716 (2019) - [i4]Phoebe Mulcaire, Jungo Kasai, Noah A. Smith:
Low-Resource Parsing with Crosslingual Contextualized Representations. CoRR abs/1909.08744 (2019) - [i3]Jeff Da, Jungo Kasai:
Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations. CoRR abs/1910.01157 (2019) - 2018
- [c5]Michihiro Yasunaga, Jungo Kasai, Dragomir R. Radev:
Robust Multilingual Part-of-Speech Tagging via Adversarial Training. NAACL-HLT 2018: 976-986 - [c4]Jungo Kasai, Robert Frank, Pauli Xu, William Merrill, Owen Rambow:
End-to-End Graph-Based TAG Parsing with Neural Networks. NAACL-HLT 2018: 1181-1194 - [i2]Jungo Kasai, Robert Frank, Pauli Xu, William Merrill, Owen Rambow:
End-to-end Graph-based TAG Parsing with Neural Networks. CoRR abs/1804.06610 (2018) - 2017
- [c3]Jungo Kasai, Bob Frank, R. Thomas McCoy, Owen Rambow, Alexis Nasr:
TAG Parsing with Neural Networks and Vector Representations of Supertags. EMNLP 2017: 1712-1722 - [c2]Dan Friedman, Jungo Kasai, R. Thomas McCoy, Robert Frank, Forrest Davis, Owen Rambow:
Linguistically Rich Vector Representations of Supertags for TAG Parsing. TAG 2017: 122-131 - [c1]Pauli Xu, Robert Frank, Jungo Kasai, Owen Rambow:
TAG Parser Evaluation using Textual Entailments. TAG 2017: 132-141 - [i1]Michihiro Yasunaga, Jungo Kasai, Dragomir R. Radev:
Robust Multilingual Part-of-Speech Tagging via Adversarial Training. CoRR abs/1711.04903 (2017)
Coauthor Index
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