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News/PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents
arxiv
PublishedMay 11, 2026 at 4:00 AM
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PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents

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arXiv:2605.07039v1 Announce Type: new Abstract: Large language models have become drivers of evolutionary search, but most systems rely on a fixed, prompt-elicited policy to sample next candidates. This limits adaptation in practical engineering and research tasks, where evaluations are expensive, a

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