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Found 3 papers, 1 papers with code
GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction
We also extend the previous work to a new community and set of biases: the Jewish community and antisemitism.
WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models
We present WinoQueer: a benchmark specifically designed to measure whether large language models (LLMs) encode biases that are harmful to the LGBTQ+ community.
Towards WinoQueer: Developing a Benchmark for Anti-Queer Bias in Large Language Models
This paper presents exploratory work on whether and to what extent biases against queer and trans people are encoded in large language models (LLMs) such as BERT.
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