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TRACE Rewrites Agent Skills from Successful and Failed Trajectories, Raising the Consistent Pass Rate on Hidden Tests to 70%
Xiaomi’s team introduced TRACE, which iteratively updates a retrievable Skill Bank by contrasting successful and failed trajectories without modifying the underlying model weights. It increased the share of CAR-bench hidden-set tasks passed in all three runs, but also raised average token usage, cost, and latency.