nyu-mll/crows-pairs
This repository contains the data and code introduced in the paper "CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models" (EMNLP 2020).
StereoSet: Measuring stereotypical bias in pretrained language models
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This repository contains the data and code introduced in the paper "CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models" (EMNLP 2020).
Repository for research in the field of Responsible NLP at Meta.
Measuring Massive Multitask Language Understanding | ICLR 2021
MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
To analyze and remove gender bias in coreference resolution systems
Implementation of Bidirectional Scene Text Recognition with a Single Decoder