A Tiny Comparator That Never Solves the Task Improves Agent Performance in All Nine Tested Settings
Don't Solve, Just Compare (arXiv 2608.21027, Aug 21) replaces the expensive expert solver or task-capable critic used for runtime intervention with COTA, a comparator that only judges whether a sampled alternative leads to a better continuation than the actor's proposal. Repeated comparisons decide when to intervene, and preferred alternatives are returned as non-binding advice so the original actor replans. Trained on pairwise supervision from same-prefix counterfactual branches, COTA improved all nine evaluation settings across WebShop, ALFWorld and tau^3-Retail with three actors, showing constructive intervention works even when the auxiliary model is substantially weaker at solving the task than the actor.
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