TestAug: A Framework for Augmenting Capability-based NLP Tests

TestAug: A Framework for Augmenting Capability-based NLP Tests

14 October 2022

Xueqing Liu

Papers citing "TestAug: A Framework for Augmenting Capability-based NLP Tests"

5 / 5 papers shown

Title
A Recipe For Arbitrary Text Style Transfer with Large Language Models Emily Reif Daphne Ippolito Ann Yuan Andy Coenen Chris Callison-Burch Jason W. Wei 211 117 0 08 Sep 2021
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate Hannah Rose Kirk B. Vidgen Paul Röttger Tristan Thrush Scott A. Hale 65 57 0 12 Aug 2021
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation Jun Wang Chang Xu Francisco Guzman Ahmed El-Kishky Benjamin I. P. Rubinstein Trevor Cohn 19 10 0 18 Jul 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,913 0 31 Dec 2020
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets Mor Geva Yoav Goldberg Jonathan Berant 235 319 0 21 Aug 2019