Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens

25 October 2022

Papers citing "Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens"

7 / 7 papers shown

Title
Mind the Graph When Balancing Data for Fairness or Robustness Jessica Schrouff Alexis Bellot Amal Rannen-Triki Alan Malek Isabela Albuquerque A. Gretton Alexander DÁmour Silvia Chiappa OOD CML 16 1 0 25 Jun 2024
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference S. Rajaee Yadollah Yaghoobzadeh Mohammad Taher Pilehvar 15 5 0 07 Nov 2022
Debiasing Methods in Natural Language Understanding Make Bias More Accessible Michael J. Mendelson Yonatan Belinkov 28 23 0 09 Sep 2021
Competency Problems: On Finding and Removing Artifacts in Language Data Matt Gardner William Merrill Jesse Dodge Matthew E. Peters Alexis Ross Sameer Singh Noah A. Smith 143 106 0 17 Apr 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 128 368 0 09 May 2020
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 187 574 0 02 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018