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Question Answering Infused Pre-training of General-Purpose Contextualized Representations


Jun 15, 2021
Robin Jia, Mike Lewis, Luke Zettlemoyer


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Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality


Jun 12, 2021
Mina Lee, Chris Donahue, Robin Jia, Alexander Iyabor, Percy Liang

* Published as a conference paper at NAACL 2021 

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The statistical advantage of automatic NLG metrics at the system level


May 26, 2021
Johnny Tian-Zheng Wei, Robin Jia

* ACL 2021 

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Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking


May 21, 2021
Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, Douwe Kiela


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Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation


Apr 18, 2021
Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela


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Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little


Apr 14, 2021
Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela

* 12 pages + Appendix 

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Dynabench: Rethinking Benchmarking in NLP


Apr 07, 2021
Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams

* NAACL 2021 

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Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches


Feb 01, 2021
Nelson F. Liu, Tony Lee, Robin Jia, Percy Liang

* 40 pages, 13 figures; preprint 

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Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA


Dec 30, 2020
Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Robin Jia, Yashar Mehdad, Srinivasan Iyer

* pre-print 

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To what extent do human explanations of model behavior align with actual model behavior?


Dec 24, 2020
Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela, Adina Williams

* 10 pages, 3 figures, 2 tables 

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With Little Power Comes Great Responsibility


Oct 13, 2020
Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky

* To appear at EMNLP 2020 

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On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks


Oct 10, 2020
Stephen Mussmann, Robin Jia, Percy Liang

* In Findings of EMNLP 2020 

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Selective Question Answering under Domain Shift


Jun 16, 2020
Amita Kamath, Robin Jia, Percy Liang

* ACL 2020 

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Robust Encodings: A Framework for Combating Adversarial Typos


May 04, 2020
Erik Jones, Robin Jia, Aditi Raghunathan, Percy Liang

* ACL 2020 

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MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension


Oct 22, 2019
Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, Danqi Chen

* EMNLP 2019 Workshop on Machine Reading for Question Answering 

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Certified Robustness to Adversarial Word Substitutions


Sep 03, 2019
Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang

* EMNLP 2019 

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Document-Level $N$-ary Relation Extraction with Multiscale Representation Learning


Apr 04, 2019
Robin Jia, Cliff Wong, Hoifung Poon

* NAACL 2019 

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Know What You Don't Know: Unanswerable Questions for SQuAD


Jun 11, 2018
Pranav Rajpurkar, Robin Jia, Percy Liang

* ACL 2018 

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Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer


Apr 17, 2018
Juncen Li, Robin Jia, He He, Percy Liang

* NAACL 2018 

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Adversarial Examples for Evaluating Reading Comprehension Systems


Jul 23, 2017
Robin Jia, Percy Liang

* EMNLP 2017 

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Data Recombination for Neural Semantic Parsing


Jun 11, 2016
Robin Jia, Percy Liang

* ACL 2016 

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