3 citations · 8 across the 7 of their papers we have counts for
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cs.AI2024★ 3 cited
LLMAuditor: A Framework for Auditing Large Language Models Using Human-in-the-Loop
Maryam Amirizaniani, Jihan Yao, Adrian Lavergne +4
As Large Language Models (LLMs) become more pervasive across various users and scenarios, identifying potential issues when using these models becomes essential. Examples of such i…
cs.AI2024★ 3 cited
AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach
Maryam Amirizaniani, Elias Martin, Tanya Roosta +2
As Large Language Models (LLMs) are integrated into various sectors, ensuring their reliability and safety is crucial. This necessitates rigorous probing and auditing to maintain t…