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PACE: Two-Timescale Self-Evolution for Small Language Model Agents
PACE uses two-timescale self-evolution to let frozen small language models improve agents via validated prompt and control updates, outperforming baselines on 12 settings by up to 9.2%.
Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026
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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 3/5