activity
20242026
most citedOn scalable oversight with weak LLMs judging strong LLMs

6 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

From AGI to ASI

Tim Genewein, Matija Franklin, Alexander Lerchner +11

Over the last decade, building human-level artificial general intelligence has moved from far-fetched speculation to being a concrete next-decade target for many of the largest AI…

cs.AI2025

A Rosetta Stone for AI Benchmarks

Anson Ho, Jean-Stanislas Denain, David Atanasov +2

Most AI benchmarks saturate within years or even months after they are introduced, making it hard to study long-run trends in AI capabilities. To address this challenge, we build a…

cs.AI2025

Control Tax: The Price of Keeping AI in Check

Mikhail Terekhov, Zhen Ning David Liu, Caglar Gulcehre +1

The rapid integration of agentic AI into high-stakes real-world applications requires robust oversight mechanisms. The emerging field of AI Control (AIC) aims to provide such an ov…

cs.AI2025★ 1 cited

An Approach to Technical AGI Safety and Security

Rohin Shah, Alex Irpan, Alexander Matt Turner +27

Artificial General Intelligence (AGI) promises transformative benefits but also presents significant risks. We develop an approach to address the risk of harms consequential enough…

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

Inverse Constitutional AI: Compressing Preferences into Principles

Arduin Findeis, Timo Kaufmann, Eyke Hüllermeier +2

Feedback data is widely used for fine-tuning and evaluating state-of-the-art AI models. Pairwise text preferences, where human or AI annotators select the "better" of two options,…