mlsanityData to 14 Oct 2026

Debate is efficient with your time

arXiv 2602.08630 ↗First posted 9 Feb 2026cs.AI cs.CCcited by 2

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Abstract (arXiv)

AI safety via debate uses two competing models to help a human judge verify complex computational tasks. Previous work has established what problems debate can solve in principle, but has not analysed the practical cost of human oversight: how many queries must the judge make to the debate transcript? We introduce Debate Query Complexity}(DQC), the minimum number of bits a verifier must inspect to correctly decide a debate. Surprisingly, we find that PSPACE/poly (the class of problems which debate can efficiently decide) is precisely the class of functions decidable with O(log n) queries. This characterisation shows that debate is remarkably query-efficient: even for highly complex problems, logarithmic oversight suffices. We also establish that functions depending on all their input bits require Omega(log n) queries, and that any function computable by a circuit of size s satisfies DQC(f) <= log(s) + 3. Interestingly, this last result implies that proving DQC lower bounds of log(n) + 6 for languages in P would yield new circuit lower bounds, connecting debate query complexity to central questions in circuit complexity.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 3 of its 7 references that are in the map. First posted on arXiv 9 Feb 2026.

Builds on

3 of 7 references.

References · 3

  1. 2018AI safety via debatecited by 400
  2. 2023Scalable AI Safety via Doubly-Efficient Debatecited by 57
  3. 2025Avoiding Obfuscation with Prover-Estimator Debatecited by 14

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.