Jungo Kasai

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Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Dragomir RadevProfessor, Computer Science, Yale UniversityVerified email at yale.edu
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Rui ZhangAssistant Professor, Penn State UniversityVerified email at psu.edu
Nikolaos PappasAmazon Web Services (AWS AI Labs)Verified email at amazon.com
Michihiro YasunagaPhD Student, Stanford UniversityVerified email at stanford.edu
Ronan Le BrasAllen Institute for Artificial IntelligenceVerified email at allenai.org
Akari AsaiUniversity of WashingtonVerified email at cs.washington.edu
Robert FrankProfessor of Linguistics, Yale UniversityVerified email at yale.edu
Hannaneh HajishirziUniversity of Washington; Allen AIVerified email at cs.washington.edu
Keisuke SakaguchiTohoku UniversityVerified email at tohoku.ac.jp
Dan FriedmanPrinceton UniversityVerified email at princeton.edu
Owen RambowStony Brook UniversityVerified email at stonybrook.edu
Hao PengUniversity of WashingtonVerified email at cs.washington.edu
Kun QianApple; ex-Amazon; ex-IBM ResearchVerified email at apple.com
Mari OstendorfProfessor, Electrical Engineering, University of WashingtonVerified email at uw.edu
Daniel KhashabiJohns Hopkins UniversityVerified email at jhu.edu
Alexander R. FabbriSalesforce AI ResearchVerified email at salesforce.com
Eunsol ChoiThe University of Texas at AustinVerified email at utexas.edu
Tao YuAssistant Professor, Computer Science, University of Hong KongVerified email at cs.hku.hk

Jungo Kasai

University of Washington

Verified email at cs.washington.edu - Homepage

Natural Language Processing Machine Learning Cardiology


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Bloom: A 176b-parameter open-access multilingual language model TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... arXiv preprint arXiv:2211.05100, 2022	211	2022
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks M Yasunaga, J Kasai, R Zhang, AR Fabbri, I Li, D Friedman, DR Radev AAAI 2019, 2019	160	2019
Robust Multilingual Part-of-Speech Tagging via Adversarial Training M Yasunaga, J Kasai, D Radev NAACL 2018, 2018	151	2018
Low-resource Deep Entity Resolution with Transfer and Active Learning J Kasai, K Qian, S Gurajada, Y Li, L Popa ACL 2019, 2019	126	2019
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation J Kasai, N Pappas, H Peng, J Cross, NA Smith ICLR 2021, 2021	111	2021
Non-autoregressive Machine Translation with Disentangled Context Transformer J Kasai, J Cross, M Ghazvininejad, J Gu ICML 2020, 2020	95*	2020
Findings of the 2021 Conference on Machine Translation (WMT21) F Akhbardeh, A Arkhangorodsky, M Biesialska, O Bojar, R Chatterjee, ... WMT 2021, 1-88, 2021	89*	2021
XOR QA: Cross-lingual open-retrieval question answering A Asai, J Kasai, JH Clark, K Lee, E Choi, H Hajishirzi NAACL 2021, 2021	80	2021
Polyglot Contextual Representations Improve Crosslingual Transfer P Mulcaire, J Kasai, NA Smith NAACL 2019, 2019	66	2019
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation D Khashabi, G Stanovsky, J Bragg, N Lourie, J Kasai, Y Choi, NA Smith, ... EMNLP 2022, 2022	64*	2022
Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations J Da, J Kasai Commonsense Inference in Natural Language Processing (COIN), 2019	44	2019
NeuroLogic A* esque Decoding: Constrained Text Generation with Lookahead Heuristics X Lu, S Welleck, P West, L Jiang, J Kasai, D Khashabi, RL Bras, L Qin, ... NAACL 2022, 2022	41	2022
Selective annotation makes language models better few-shot learners H Su, J Kasai, CH Wu, W Shi, T Wang, J Xin, R Zhang, M Ostendorf, ... ICLR 2023, 2023	38*	2023
Probing Across Time: What Does RoBERTa Know and When? LZ Liu, Y Wang, J Kasai, H Hajishirzi, NA Smith Findings of EMNLP 2021, 2021	38	2021
Syntax-aware Neural Semantic Role Labeling with Supertags J Kasai, D Friedman, R Frank, D Radev, O Rambow NAACL 2019, 2019	37	2019
Finetuning Pretrained Transformers into RNNs J Kasai, H Peng, Y Zhang, D Yogatama, G Ilharco, N Pappas, Y Mao, ... EMNLP 2021, 2021	29	2021
TAG Parsing with Neural Networks and Vector Representations of Supertags J Kasai, R Frank, RT McCoy, O Rambow, A Nasr EMNLP 2017, 2017	28	2017
One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval A Asai, X Yu, J Kasai, H Hajishirzi NeurIPS 2021, 2021	27	2021
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand J Kasai, K Sakaguchi, RL Bras, L Dunagan, J Morrison, AR Fabbri, Y Choi, ... NAACL 2022, 2022	23	2022
Transparent Human Evaluation for Image Captioning J Kasai, K Sakaguchi, L Dunagan, J Morrison, RL Bras, Y Choi, NA Smith NAACL 2022, 2022	21	2022

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