GEA treats agent groups as the evolution unit, hitting 71% SWE-bench Verified with zero human help

xwang_lk · x · 2026-10-07

The COLM 2026 paper Group-Evolving Agents (GEA) proposes a new open-ended self-improvement paradigm: instead of tree-structured single-agent evolution, a group of agents explicitly shares experience and learned artifacts during evolution, avoiding diversity trapped in isolated branches. GEA reaches 71.0% on SWE-bench Verified and 88.3% on Polyglot with zero human intervention, beating prior self-evolving methods and matching or exceeding top human-designed agent frameworks (arXiv:2602.04837).

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