EvoGuard improves agent skill evolution by 11% on ALFWorld
EvoGuard uses pairwise rejection sampling on private test sets to select non-degrading skills at low latency.
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EvoGuard uses pairwise rejection sampling on private test sets to select non-degrading skills at low latency.
EVISKILL uses replayable evidence so LLM agents can refine skills without updating model parameters.
Rep2Skill revises LLM agent skills from internal representation trajectories and beats text-only self-evolution.
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