Morning Edition · Thursday, July 9, 2026Published at 1:32 AM EDT · New York
A sampling-complexity analysis of generate-critique-revise loops formalizes the conditions under which in-context search improves answers rather than only consuming inference compute.
A theoretical paper, When Does In-Context Search Help?, takes on a question that the test-time-compute era has mostly answered by experiment. Extended reasoning, in which a model repeatedly generates, critiques, and revises its own attempts…
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