Researchers explore how interaction formats and textual scaffolds can improve decision-making in LLM agents, specifically in auctions and matching environments. They find that certain interfaces and prompts can reduce bid deviations and improve choices, but these improvements may not be reflected in the agents' short-term plans or explanations.