TAG Parsing with Neural Networks and Vector Representations of Supertags. - Jungo Kasai; Bob Frank; R. Thomas McCoy; Owen Rambow; Alexis Nasr (EMNLP, 2017)

Linguistically Rich Vector Representations of Supertags for TAG Parsing. - Dan Friedman; Jungo Kasai; R. Thomas McCoy; Robert Frank 001; Forrest Davis; Owen Rambow (TAG, 2017)

TAG Parser Evaluation using Textual Entailments. - Pauli Xu; Robert Frank 001; Jungo Kasai; Owen Rambow (TAG, 2017)

End-to-End Graph-Based TAG Parsing with Neural Networks. - Jungo Kasai; Robert Frank 001; Pauli Xu; William Merrill; Owen Rambow (NAACL-HLT, 2018)

Robust Multilingual Part-of-Speech Tagging via Adversarial Training. - Michihiro Yasunaga; Jungo Kasai; Dragomir R. Radev (NAACL-HLT, 2018)

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. - Michihiro Yasunaga; Jungo Kasai; Rui Zhang 037; Alexander R. Fabbri; Irene Li; Dan Friedman; Dragomir R. Radev (AAAI, 2019)

Low-resource Deep Entity Resolution with Transfer and Active Learning. - Jungo Kasai; Kun Qian 002; Sairam Gurajada; Yunyao Li 001; Lucian Popa 001 (ACL (1), 2019)

Low-Resource Parsing with Crosslingual Contextualized Representations. - Phoebe Mulcaire; Jungo Kasai; Noah A. Smith (CoNLL, 2019)

Syntax-aware Neural Semantic Role Labeling with Supertags. - Jungo Kasai; Dan Friedman; Robert Frank 001; Dragomir R. Radev; Owen Rambow (NAACL-HLT (1), 2019)

Polyglot Contextual Representations Improve Crosslingual Transfer. - Phoebe Mulcaire; Jungo Kasai; Noah A. Smith (NAACL-HLT (1), 2019)

Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations. - Jeff Da; Jungo Kasai (CoRR, 2019)

Non-autoregressive Machine Translation with Disentangled Context Transformer. - Jungo Kasai; James Cross 003; Marjan Ghazvininejad; Jiatao Gu (ICML, 2020)

Parallel Machine Translation with Disentangled Context Transformer. - Jungo Kasai; James Cross 003; Marjan Ghazvininejad; Jiatao Gu (CoRR, 2020)

Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation. - Jungo Kasai; Nikolaos Pappas 002; Hao Peng 009; James Cross 003; Noah A. Smith (CoRR, 2020)

Finetuning Pretrained Transformers into RNNs. - Jungo Kasai; Hao Peng 009; Yizhe Zhang 002; Dani Yogatama; Gabriel Ilharco; Nikolaos Pappas 002; Yi Mao; Weizhu Chen; Noah A. Smith (EMNLP (1), 2021)

Probing Across Time: What Does RoBERTa Know and When? - Zeyu Liu; Yizhong Wang; Jungo Kasai; Hannaneh Hajishirzi; Noah A. Smith (EMNLP (Findings), 2021)

Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation. - Jungo Kasai; Nikolaos Pappas 002; Hao Peng 009; James Cross 003; Noah A. Smith (ICLR, 2021)

XOR QA: Cross-lingual Open-Retrieval Question Answering. - Akari Asai; Jungo Kasai; Jonathan H. Clark; Kenton Lee; Eunsol Choi; Hannaneh Hajishirzi (NAACL-HLT, 2021)

One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval. - Akari Asai; Xinyan Yu 001; Jungo Kasai; Hanna Hajishirzi (NeurIPS, 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; et al. (WMT@EMNLP, 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 001; Noah A. Smith; Daniel S. Weld (CoRR, 2021)

Probing Across Time: What Does RoBERTa Know and When? - Leo Z. Liu; Yizhong Wang; Jungo Kasai; Hannaneh Hajishirzi; Noah A. Smith (CoRR, 2021)

ABC: Attention with Bounded-memory Control. - Hao Peng 009; Jungo Kasai; Nikolaos Pappas 002; Dani Yogatama; Zhaofeng Wu; Lingpeng Kong; Roy Schwartz 001; Noah A. Smith (ACL (1), 2022)

How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. - Michael Hassid; Hao Peng 009; Daniel Rotem; Jungo Kasai; Ivan Montero; Noah A. Smith; Roy Schwartz 001 (EMNLP (Findings), 2022)

Twist Decoding: Diverse Generators Guide Each Other. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Hao Peng 009; Ximing Lu; Dragomir Radev; Yejin Choi 001; Noah A. Smith (EMNLP, 2022)

GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation. - Daniel Khashabi; Gabriel Stanovsky; Jonathan Bragg; Nicholas Lourie; Jungo Kasai; Yejin Choi 001; Noah A. Smith; Daniel S. Weld (EMNLP, 2022)

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Lavinia Dunagan; Jacob Morrison; Alexander R. Fabbri; Yejin Choi 001; Noah A. Smith (NAACL-HLT, 2022)

Transparent Human Evaluation for Image Captioning. - Jungo Kasai; Keisuke Sakaguchi; Lavinia Dunagan; Jacob Morrison; Ronan Le Bras 001; Yejin Choi 001; Noah A. Smith (NAACL-HLT, 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 001; Lianhui Qin; Youngjae Yu; Rowan Zellers; Noah A. Smith; Yejin Choi 001 (NAACL-HLT, 2022)

Beam Decoding with Controlled Patience. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Dragomir R. Radev; Yejin Choi 001; Noah A. Smith (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 001; Rui Zhang 037; Junjie Hu 001; Ikuya Yamada; Jonathan H. Clark; Eunsol Choi (CoRR, 2022)

FOLIO: Natural Language Reasoning with First-Order Logic. - Simeng Han; Hailey Schoelkopf; Yilun Zhao 001; Zhenting Qi; Martin Riddell; Luke Benson; Lucy Sun; Ekaterina Zubova; Yujie Qiao; Matthew Burtell; David Peng; Jonathan Fan 001; et al. (CoRR, 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; et al. (CoRR, 2022)

NarrowBERT: Accelerating Masked Language Model Pretraining and Inference. - Haoxin Li; Phillip Keung; Daniel Cheng; Jungo Kasai; Noah A. Smith (ACL (2), 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 009 (ACL (Findings), 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; et al. (ACL (1), 2023)

Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. - Orevaoghene Ahia; Sachin Kumar 009; Hila Gonen; Jungo Kasai; David R. Mortensen; Noah A. Smith; Yulia Tsvetkov (EMNLP, 2023)

Batch Prompting: Efficient Inference with Large Language Model APIs. - Zhoujun Cheng; Jungo Kasai; Tao Yu 009 (EMNLP (Industry Track), 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 (ICCV, 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 037; Mari Ostendorf; Luke Zettlemoyer; Noah A. Smith; Tao Yu 009 (ICLR, 2023)

RealTime QA: What's the Answer Right Now? - Jungo Kasai; Keisuke Sakaguchi; Yoichi Takahashi; Ronan Le Bras 001; Akari Asai; Xinyan Yu 001; Dragomir Radev; Noah A. Smith; Yejin Choi 001; Kentaro Inui (NeurIPS, 2023)

Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations. - Jungo Kasai; Yuhei Kasai; Keisuke Sakaguchi; Yutaro Yamada; Dragomir Radev (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)

ACID: Abstractive, Content-Based IDs for Document Retrieval with Language Models. - Haoxin Li; Phillip Keung; Daniel Cheng; Jungo Kasai; Noah A. Smith (CoRR, 2023)

Towards Efficient, Customizable, and Communal Natural Language Processing - Jungo Kasai (2023)

A Call for Clarity in Beam Search: How It Works and When It Stops. - Jungo Kasai; Keisuke Sakaguchi; Ronan Le Bras 001; Dragomir Radev; Yejin Choi 001; Noah A. Smith (LREC/COLING, 2024)

FOLIO: Natural Language Reasoning with First-Order Logic. - Simeng Han; Hailey Schoelkopf; Yilun Zhao 001; Zhenting Qi; Martin Riddell; Wenfei Zhou; James Coady; David Peng; Yujie Qiao; Luke Benson; Lucy Sun; Alexander Wardle-Solano; et al. (EMNLP, 2024)

Evaluating Spatial Understanding of Large Language Models. - Yutaro Yamada; Yihan Bao; Andrew Kyle Lampinen; Jungo Kasai; Ilker Yildirim (Trans. Mach. Learn. Res., 2024)

LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation. - Keisuke Kamahori; Jungo Kasai; Noriyuki Kojima; Baris Kasikci (CoRR, 2025)