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Efficient Scalable Oversight via Rewinding

Paper recorded by Signals 4 on 2026-10-29 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-29 on arXiv · recorded by Signals 4 on 2026-10-30

Category: cs.AI · 人工智能 · first seen 2026-10-30

Abstract

Scalable oversight asks how a weak verifier can check the outputs of computations performed by more powerful AI systems. One proposed approach uses relativizing interactive proofs, in which a weak verifier checks the output of a complex oracle-aided computation by interacting with one or more powerful provers. A prominent example is debate, which is highly efficient but assumes that one of two pow

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#79 most recent of 920 cs.AI papers we have recorded · ↑ newer: On the Fundamental Limits of Prefill-Based Decoding Length Prediction · ↓ older: BURGER: Benchmarking and Understanding Robotic Generalization via Embo
Cite this page: Efficient Scalable Oversight via Rewinding: the #79 most recent of 920 cs.AI papers we have recorded (as of 2026-10-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/efficient-scalable-oversight-via-rewinding.html
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