AINeutralarXiv – CS AI · 18h ago6/10
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PACE: Anytime-Valid Acceptance Tests for Self-Evolving Agents
Researchers introduce PACE, a statistical testing framework that prevents self-evolving AI agents from committing false improvements to their own prompts and workflows. Unlike naive greedy acceptance rules that accumulate errors through repeated testing, PACE uses sequential hypothesis testing to distinguish genuine improvements from noise, reducing harmful modifications by 30-42% while maintaining accuracy at lower computational cost.