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Rethinking Verification in Agent Frameworks

Rethinking Verification in Agent Harnesses

Hugging Face Daily Papers· arXiv:2610.34577· Zhengxin Zhang, Erkang Zhu, Yin Lin, Claire Cardie, Bolin Ding, Jingren Zhou·Indexed by this site · 17 days ago· Originally publishedAI updates
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Researchers treat verification as a dimension of test-time scaling, comparing 17 verification designs across seven frontier coding models, and find that independent review by an independent reviewer provides a more favorable trade-off between accuracy and cost. The framework covers four layers of the agent lifecycle, namely initial instructions, mid-turn reminders, completion gating, and independent review, and is evaluated on Terminal-Bench and SWE-bench Verified. On Terminal-Bench and SWE-bench Verified, independent review brings average accuracy improvements of 5.9-9.5 and 3.9-6.6 percentage points at 1.13-1.25× and 1.00-1.04× baseline cost, respectively; initial instructions and execution-time reminders bring only modest, model-dependent improvements with no large increase in average output token usage on average, while completion gating brings larger improvements but may substantially increase cost. Adding review rounds or independent reviewers can further improve Terminal-Bench average accuracy by up to 3.5 percentage points.

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