Jungo Kasai

According to our database, Jungo Kasai authored at least 47 papers between 2017 and 2024.

Collaborative distances:

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

2024

Evaluating Spatial Understanding of Large Language Models.

Yutaro Yamada, Yihan Bao, Andrew Kyle Lampinen, Jungo Kasai, Ilker Yildirim

Trans. Mach. Learn. Res., 2024

FOLIO: Natural Language Reasoning with First-Order Logic.

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

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

2023

ACID: Abstractive, Content-Based IDs for Document Retrieval with Language Models.

Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith

CoRR, 2023

Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence.

John J. Nay, David Karamardian, Sarah B. Lawsky, Wenting Tao, Meghana Bhat, Raghav Jain, Aaron Travis Lee, Jonathan H. Choi, Jungo Kasai

CoRR, 2023

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

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

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

Selective Annotation Makes Language Models Better Few-Shot Learners.

Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering.

Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Batch Prompting: Efficient Inference with Large Language Model APIs.

Zhoujun Cheng, Jungo Kasai, Tao Yu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models.

Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting.

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

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

One Embedder, Any Task: Instruction-Finetuned Text Embeddings.

Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu

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

NarrowBERT: Accelerating Masked Language Model Pretraining and Inference.

Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai, Noah A. Smith

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting.

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

CoRR, 2022

FOLIO: Natural Language Reasoning with First-Order Logic.

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

CoRR, 2022

MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages.

Akari Asai, Shayne Longpre, Jungo Kasai, Chia-Hsuan Lee, Rui Zhang, Junjie Hu, Ikuya Yamada, Jonathan H. Clark, Eunsol Choi

CoRR, 2022

Beam Decoding with Controlled Patience.

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

CoRR, 2022

NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics.

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

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

GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation.

Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld

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

How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers.

Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ABC: Attention with Bounded-memory Control.

Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Probing Across Time: What Does RoBERTa Know and When?

Leo Z. Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith

CoRR, 2021

GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation.

Daniel Khashabi, Gabriel Stanovsky, Jonathan Bragg, Nicholas Lourie, Jungo Kasai, Yejin Choi, Noah A. Smith, Daniel S. Weld

CoRR, 2021

Findings of the 2021 Conference on Machine Translation (WMT21).

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

Proceedings of the Sixth Conference on Machine Translation, 2021

One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval.

Akari Asai, Xinyan Yu, Jungo Kasai, Hanna Hajishirzi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

XOR QA: Cross-lingual Open-Retrieval Question Answering.

Akari Asai, Jungo Kasai, Jonathan H. Clark, Kenton Lee, Eunsol Choi, Hannaneh Hajishirzi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation.

Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith

Proceedings of the 9th International Conference on Learning Representations, 2021

Probing Across Time: What Does RoBERTa Know and When?

Zeyu Liu, Yizhong Wang, Jungo Kasai, Hannaneh Hajishirzi, Noah A. Smith

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

Finetuning Pretrained Transformers into RNNs.

Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation.

Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith

CoRR, 2020

Parallel Machine Translation with Disentangled Context Transformer.

Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu

CoRR, 2020

Non-autoregressive Machine Translation with Disentangled Context Transformer.

Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations.

Jeff Da, Jungo Kasai

CoRR, 2019

Polyglot Contextual Representations Improve Crosslingual Transfer.

Phoebe Mulcaire, Jungo Kasai, Noah A. Smith

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Syntax-aware Neural Semantic Role Labeling with Supertags.

Jungo Kasai, Dan Friedman, Robert Frank, Dragomir R. Radev, Owen Rambow

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Low-Resource Parsing with Crosslingual Contextualized Representations.

Phoebe Mulcaire, Jungo Kasai, Noah A. Smith

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Low-resource Deep Entity Resolution with Transfer and Active Learning.

Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, Lucian Popa

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks.

Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Robust Multilingual Part-of-Speech Tagging via Adversarial Training.

Michihiro Yasunaga, Jungo Kasai, Dragomir R. Radev

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

End-to-End Graph-Based TAG Parsing with Neural Networks.

Jungo Kasai, Robert Frank, Pauli Xu, William Merrill, Owen Rambow

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

TAG Parser Evaluation using Textual Entailments.

Pauli Xu, Robert Frank, Jungo Kasai, Owen Rambow

Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms, 2017

Linguistically Rich Vector Representations of Supertags for TAG Parsing.

Dan Friedman, Jungo Kasai, R. Thomas McCoy, Robert Frank, Forrest Davis, Owen Rambow

Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms, 2017

TAG Parsing with Neural Networks and Vector Representations of Supertags.

Jungo Kasai, Bob Frank, R. Thomas McCoy, Owen Rambow, Alexis Nasr

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017