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#algorithm-discovery

1 curated events
papersTODAY 04:00 UTC

AlgoEvo proposes self-evolving agentic search to automate algorithm discovery

A new arXiv paper argues that current LLM-based automated algorithm discovery systems are constrained by fixed pipelines with pre-defined control flow, which limits adaptive reasoning and prevents agents from reusing knowledge across tasks. The authors introduce AlgoEvo, a self-evolving agentic search method intended to let agents adapt their own discovery process rather than follow a static procedure. The work is a preprint and has not yet been peer reviewed.

agents/llm/algorithm-discovery/arxiv