132 citations · 262 across the 12 of their papers we have counts for
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cs.CL2024★ 4 cited
How Susceptible are LLMs to Influence in Prompts?
Sotiris Anagnostidis, Jannis Bulian
Large Language Models (LLMs) are highly sensitive to prompts, including additional context provided therein. As LLMs grow in capability, understanding their prompt-sensitivity beco…
cs.LG2024★ 6 cited
On scalable oversight with weak LLMs judging strong LLMs
Zachary Kenton, Noah Y. Siegel, János Kramár +8
Scalable oversight protocols aim to enable humans to accurately supervise superhuman AI. In this paper we study debate, where two AI's compete to convince a judge; consultancy, whe…