Bias in the age of generative AI: a deep dive into autoregressive model fairness

This study presents a comprehensive evaluation of biases in prominent autoregressive language models, including GPT-2, Llama-7B, and Mistral-7B. The research systematically assesses the models' performance across multiple dimensions of bias, including toxicity, gender, race, religion, and LG...

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Bibliographic Details
Main Author: Ng, Darren Joon Kai
Other Authors: Luu Anh Tuan
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/181069
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Institution: Nanyang Technological University
Language: English

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