Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing

27 August 2021

Papers citing "Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing"

5 / 5 papers shown

Title
OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs Patrick Haller Ansar Aynetdinov A. Akbik 20 24 0 07 Sep 2023
Stubborn Lexical Bias in Data and Models Sofia Serrano Jesse Dodge Noah A. Smith 21 2 0 03 Jun 2023
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators Jianhao Yuan Francesco Pinto Adam Davies Philip H. S. Torr DiffM 10 12 0 21 Dec 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 16 77 0 06 May 2022
Undersmoothing Causal Estimators with Generative Trees Damian Machlanski Spyridon Samothrakis Paul Clarke CML 18 1 0 16 Mar 2022