Towards detecting unanticipated bias in Large Language Models

3 April 2024

Papers citing "Towards detecting unanticipated bias in Large Language Models"

6 / 6 papers shown

Title
Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification Thanh-Tung Nguyen Viktor Schlegel Abhinav Ramesh Kashyap Stefan Winkler Shao-Syuan Huang Jie-Jyun Liu Chih-Jen Lin 24 14 0 27 Apr 2023
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango Aman Madaan Amir Yazdanbakhsh LRM 144 116 0 16 Sep 2022
Bias Challenges in Counterfactual Data Augmentation S Chandra Mouli Yangze Zhou Bruno Ribeiro CML OOD OODD 37 4 0 12 Sep 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,236 0 21 Mar 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 299 4,203 0 23 Aug 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 252 9,134 0 06 Jun 2015