Stop stuffing expert trajectories into the prompt: one fitted concept vector lifts the three-benchmark average to 75.9 as the model grows
CB-Agent extracts environment-action decisions from expert trajectories and fits a reusable concept vector to score candidate actions, reaching the highest cross-benchmark average among the evaluated methods at all three Qwen3 sizes on TextWorld, ALFWorld, and ScienceWorld.