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Large Language Models for Sexism Detection by bismillahkhan.bscsf22 is a document available to read on EtoBox.

What is Large Language Models for Sexism Detection about?

This report compares the performance of two Large Language Models, Mistral-7B-Instruct-v0.2 and Llama-3.1-8B-Instruct, in detecting sexism through multi-class classification. The findings indicate that Llama-3.1-8B-Instruct outperforms Mistral-7B-Instruct-v0.2, with few-shot prompting yielding better results than zero-shot prompting. The study highlights challenges in distinguishing between semantically similar categories of sexist language and suggests future research directions for improving detection acc

Author

bismillahkhan.bscsf22

Language

EN