counterfactual data augmentation

EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification EMNLP 2023 Factual Relation Discrimination for Factuality-oriented Abstractive Summarization EMNLP 2023 Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation EMNLP 2023 An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models ACL 2022 CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation EMNLP 2022 Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues EMNLP 2022 Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection NAACL 2022 Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing EMNLP 2022 MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning ACL 2022 MoCoDA: Model-based Counterfactual Data Augmentation NeurIPS 2022 NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation EMNLP 2022 Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals EMNLP 2022 Can We Improve Model Robustness through Secondary Attribute Counterfactuals? EMNLP 2021 Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis ACL 2021 How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? EMNLP 2021 Making a (Counterfactual) Difference One Rationale at a Time NeurIPS 2021 Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification EMNLP 2021 Counterfactual Data Augmentation using Locally Factored Dynamics NeurIPS 2020 Learning The Difference That Makes A Difference With Counterfactually-Augmented Data ICLR 2020 Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation EMNLP 2020 Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology ACL 2019 It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution EMNLP 2019