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William Huang
William Huang
New York University
Natural language understanding
Artificial intelligence
Computer science
transformer
test
9
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5
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Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair
2022
| The Annual Conference of the North American Chapter of the Association for Computational Linguistics
Jason Phang
Angelica Chen
William Huang
Samuel R. Bowman
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Comparing Test Sets with Item Response Theory
2021
ACL | Meeting of the Association for Computational Linguistics
Clara Vania
Phu Mon Htut
William Huang
Dhara A. Mungra
Richard Yuanzhe Pang
Jason Phang
Haokun Liu
Kyunghyun Cho
Samuel R. Bowman
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Types of Out-of-Distribution Texts and How to Detect Them.
2021
arXiv: Computation and Language
Udit Arora
William Huang
He He
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Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data
2020
| Conference on Empirical Methods in Natural Language Processing
William Huang
Haokun Liu
Samuel R. Bowman
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Precise Task Formalization Matters in Winograd Schema Evaluations
2020
| Conference on Empirical Methods in Natural Language Processing
Haokun Liu
William Huang
Dhara Mungra
Samuel R. Bowman
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