A comprehensive evaluation of LLM trustworthiness (toxicity, bias, and privacy) using the DecodingTrust framework on Microsoft Phi-2.
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Updated
Jan 10, 2026 - Jupyter Notebook
A comprehensive evaluation of LLM trustworthiness (toxicity, bias, and privacy) using the DecodingTrust framework on Microsoft Phi-2.
Evaluating an LLM (gemma-2b-it) for fairness, stereotype bias, and toxicity on DecodingTrust prompts, with a prompt-based debiasing experiment. Uppsala MSc (1RT730).
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