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

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"

9 / 9 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 45 1 0 25 Jun 2024
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis Oscar Chew Hsuan-Tien Lin Kai-Wei Chang Kuan-Hao Huang 34 5 0 23 May 2023
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations Bingsheng Yao Prithviraj Sen Lucian Popa James A. Hendler Dakuo Wang XAI ELM FAtt 23 10 0 04 May 2023
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference S. Rajaee Yadollah Yaghoobzadeh Mohammad Taher Pilehvar 33 5 0 07 Nov 2022
Debiasing Methods in Natural Language Understanding Make Bias More Accessible Michael J. Mendelson Yonatan Belinkov 40 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 168 107 0 17 Apr 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 149 370 0 09 May 2020
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 190 576 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 297 6,956 0 20 Apr 2018