Don't Solve, Just Compare: Tiny Advisors for Runtime Intervention in LLM Agents
COTA introduces a tiny auxiliary model that doesn't solve tasks but compares potential actions. Instead of correcting errors, it ranks local alternatives to guide a larger LLM agent during runtime intervention. This shows that simple pairwise comparison is enough for effective, constructive guidance without needing a complex task-solving critic.