Ce qui s'est passé: HarnessOpt-Bench: Evaluating LLMs at Harness Optimization

Researchers introduced HarnessOpt-Bench, a benchmark measuring how well large language models optimize AI agent harnesses, the prompts, tools, and orchestration code surrounding models.

Pourquoi ça compte: HarnessOpt-Bench: Evaluating LLMs at Harness Optimization

Matters for engineers building agentic systems who need to evaluate whether LLMs can automatically improve system configurations under budget constraints.

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HarnessOpt-Bench: Evaluating LLMs at Harness Optimization

arXiv cs.AI · Publié le 6 août 2026 · 3 min de lecture

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Ce qui s'est passé: Researchers introduced HarnessOpt-Bench, a benchmark measuring how well large language models optimize AI agent harnesses, the prompts, tools, and orchestration code surrounding models.
Pourquoi ça compte: Matters for engineers building agentic systems who need to evaluate whether LLMs can automatically improve system configurations under budget constraints.
Vigilance: Results show performance varies substantially across tasks and seed regimes, with no clear winner among frontier models or their native harnesses.

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