Undesirable Biases in NLP: Addressing Challenges of Measurement

24 November 2022

Papers citing "Undesirable Biases in NLP: Addressing Challenges of Measurement"

9 / 9 papers shown

Title
Quantifying Social Biases Using Templates is Unreliable P. Seshadri Pouya Pezeshkpour Sameer Singh 46 33 0 09 Oct 2022
Challenges in Measuring Bias via Open-Ended Language Generation Afra Feyza Akyürek Muhammed Yusuf Kocyigit Sejin Paik Derry Wijaya 35 21 0 23 May 2022
Evaluating the Construct Validity of Text Embeddings with Application to Survey Questions Qixiang Fang D. Nguyen Daniel L. Oberski 19 12 0 18 Feb 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts Stephen H. Bach Victor Sanh Zheng-Xin Yong Albert Webson Colin Raffel ... Khalid Almubarak Xiangru Tang Dragomir R. Radev Mike Tian-Jian Jiang Alexander M. Rush VLM 215 335 0 02 Feb 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021
Socially Aware Bias Measurements for Hindi Language Representations Vijit Malik Sunipa Dev A. Nishi Nanyun Peng Kai-Wei Chang 51 36 0 15 Oct 2021
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models Robert Wolfe Aylin Caliskan 82 51 0 01 Oct 2021
Assessing the Reliability of Word Embedding Gender Bias Measures Yupei Du Qixiang Fang D. Nguyen 42 21 0 10 Sep 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 257 374 0 28 Feb 2021