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Finetuned Language Models Are Zero-Shot Learners


Sep 03, 2021
Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le


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Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations


Apr 15, 2021
Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang


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Neural Data Augmentation via Example Extrapolation


Feb 02, 2021
Kenton Lee, Kelvin Guu, Luheng He, Tim Dozat, Hyung Won Chung


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NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned


Jan 01, 2021
Sewon Min, Jordan Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih

* 26 pages 

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Learning Abstract Models for Strategic Exploration and Fast Reward Transfer


Jul 12, 2020
Evan Zheran Liu, Ramtin Keramati, Sudarshan Seshadri, Kelvin Guu, Panupong Pasupat, Emma Brunskill, Percy Liang


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Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models


May 20, 2020
Dan Iter, Kelvin Guu, Larry Lansing, Dan Jurafsky

* AC2020 

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REALM: Retrieval-Augmented Language Model Pre-Training


Feb 10, 2020
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang


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KERMIT: Generative Insertion-Based Modeling for Sequences


Jun 04, 2019
William Chan, Nikita Kitaev, Kelvin Guu, Mitchell Stern, Jakob Uszkoreit

* William Chan, Nikita Kitaev, Kelvin Guu, and Mitchell Stern contributed equally 

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A Retrieve-and-Edit Framework for Predicting Structured Outputs


Dec 04, 2018
Tatsunori B. Hashimoto, Kelvin Guu, Yonatan Oren, Percy Liang

* To appear, NeurIPS 2018 

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Mapping Natural Language Commands to Web Elements


Oct 01, 2018
Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang

* EMNLP 2018 

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Transforming Question Answering Datasets Into Natural Language Inference Datasets


Sep 11, 2018
Dorottya Demszky, Kelvin Guu, Percy Liang

* 11 pages, 6 figures 

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Generating Sentences by Editing Prototypes


Sep 07, 2018
Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, Percy Liang

* 14 pages, Transactions of the Association for Computational Linguistics (TACL), 2018 

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Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration


Feb 24, 2018
Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, Percy Liang

* International Conference on Learning Representations (ICLR), 2018 

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From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood


Apr 25, 2017
Kelvin Guu, Panupong Pasupat, Evan Zheran Liu, Percy Liang

* Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (2017) 

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Traversing Knowledge Graphs in Vector Space


Aug 19, 2015
Kelvin Guu, John Miller, Percy Liang

* 2015 Conference on Empirical Methods on Natural Language Processing (EMNLP) 

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