Boring AI News

Harness^2: Recursive Agent Harnessing for an Open World

Published 19 October 2026

A new framework helps LLM agents improve their execution systems for unfamiliar tasks without ground-truth verifiers. It learns from task-specific edits and reuses this experience, improving performance by up to 11.8 percentage points across three professional benchmarks.

papers
Read the original on arxiv.org →

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