6 citations · 7 across the 8 of their papers we have counts for
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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…
cs.CL2024★ 1 cited
The Effect of Model Size on LLM Post-hoc Explainability via LIME
Henning Heyen, Amy Widdicombe, Noah Y. Siegel +2
Large language models (LLMs) are becoming bigger to boost performance. However, little is known about how explainability is affected by this trend. This work explores LIME explanat…