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AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization


Dec 02, 2022
Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi

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Data-Efficient Finetuning Using Cross-Task Nearest Neighbors


Dec 01, 2022
Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi

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Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets


Mar 24, 2022
Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi

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* Accepted to ACL 2022 main conference 

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A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers


May 07, 2021
Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner

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* Accepted at NAACL 2021; Project page: https://allenai.org/project/qasper 

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Learning with Instance Bundles for Reading Comprehension


Apr 18, 2021
Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner

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Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization


Mar 22, 2021
Ansong Ni, Matt Gardner, Pradeep Dasigi

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* 10 pages 

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IIRC: A Dataset of Incomplete Information Reading Comprehension Questions


Nov 13, 2020
James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi

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* EMNLP 2020 

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Evaluating NLP Models via Contrast Sets


Apr 06, 2020
Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

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Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning


Sep 05, 2019
Pradeep Dasigi, Nelson F. Liu, Ana Marasović, Noah A. Smith, Matt Gardner

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* 8 pages including appendix; EMNLP 2019 accepted paper camera ready version 

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