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EvoDuet co-evolves search queries and solutions for optimization tasks
The method alternates between refining web searches and generating solution candidates, improving discovery gain on two model-and-scaffold combinations and surpassing prior best scores on eight tasks. Its results offer a concrete way to make retrieval adapt as an agent’s solution changes.
- What
- EvoDuet co-evolves search queries and candidate solutions for optimization tasks while keeping model parameters fixed.
- Method
- A retrieval gate chooses whether to fetch or reuse documents; an inner loop refines queries and ranks documents, while an outer loop generates candidates and records outcomes.
- Why it matters
- The method improves discovery gain on many evaluated settings, but Qwen3.5-9B does not benefit, showing results depend on the model.
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