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Prompt optimization increased the reward of a research agent by 0.079

On held-out topics, the reward went from 0.702 to 0.781, but a scalar reward gave a negative result.

Claimed, not confirmed

Sources

  1. Reflective Prompt Optimization of a Deep-Research Agent: A Topic-Disjoint, Multi-Seed Protocol for Measuring Transferable Gains and Prompt-Level Overfittingarxiv.org
AI MATTER · NEWS · AI MATTER · NEWS ·12 OCT2026

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