NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer
Data Augmentation

NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation

22 October 2022

Yejin Choi

Swabha Swayamdipta

Papers citing "NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation"

5 / 5 papers shown

Title
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 38 10 0 27 Jul 2024
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future Linyi Yang Y. Song Xuan Ren Chenyang Lyu Yidong Wang Lingqiao Liu Jindong Wang Jennifer Foster Yue Zhang OOD 32 2 0 23 May 2023
SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples Deqing Fu Ameya Godbole Robin Jia 22 8 0 13 May 2023
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective Linyi Yang Shuibai Zhang Libo Qin Yafu Li Yidong Wang Hanmeng Liu Jindong Wang Xingxu Xie Yue Zhang ELM 39 79 0 15 Nov 2022
Tailor: Generating and Perturbing Text with Semantic Controls Alexis Ross Tongshuang Wu Hao Peng Matthew E. Peters Matt Gardner 136 77 0 15 Jul 2021