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#training-signal

BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution

Hugging Face Daily Papers · 2026-05-31 Cached

BenchEvolver is an evolutionary framework that automatically generates harder coding problems from existing ones, creating challenging benchmarks that maintain validity and diversity while enabling model self-improvement and enhanced training performance.

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#training-signal

Learning complex goals with iterated amplification

OpenAI Blog · 2018-10-22 Cached

OpenAI presents iterated amplification, a method for training AI systems on complex tasks by recursively decomposing them into smaller subtasks that humans can judge and solve, building up training signals from scratch through iterative composition.

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