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Why It Matters
Automating the search for effective harnesses is an important step toward enabling agents to recursively self-improve.
Provenance
Discovered via ArXiv and published by ArXiv.
Key Claims
Original description
Automating the search for effective harnesses is an important step toward enabling agents to recursively self-improve. Existing harness optimizations typically produce a single global harness that is applied uniformly across task instances. However, a harness that works well on average may not be optimal for every instance. We introduce Turbo Harness, a framework that can adapt a globally optimized harness to each instance by reusing information generated during the original optimization process. Specifically, Turbo Harness recycles artifacts produced during a completed global harness optimiza...
Discovered via ArXiv
Research papers and preprints from arXiv.
Publisher: arxiv.org
ID: http://arxiv.org/abs/2609.40330v1 · Indexed 44 minutes ago