Prompt optimization
Technique · Agents · 2 items since Jul 2026
Automatically searching for prompts that make a model perform better on a task.
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- Oct 9
Building LLM agent systems like neural networks
Treats retrieval, memory, and prompting modules as neural-network layers with prompt optimization as backpropagation and a NAS-equivalent search over configurations, reporting at least 5% gains from automatic prompt optimization and 11% from architecture search.
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DecoEvo co-evolves solver and rubric skills
A text-space method that co-evolves a solver skill and a rubric-generator skill under decoupled objectives to avoid reward-easy rubric drift, beating prior text-space optimizers by 2.8-5.0% across five benchmarks.