跳到正文
DAIR.AI· @dair_ai · X·· 2 小时前AI 评分58
AI 导读

arXiv:2609.36365 的哈佛-MIT 论文在已知最优策略的拍卖与匹配市场环境中测试,发现给 LLM Agent 添加提前规划或揣摩对手的提示词整体上让博弈表现变差。

正文

Does telling your agent to plan ahead actually help?

It's standard practice to add a "plan ahead" or "think about the other players" instruction to an agent's prompt.

In auctions and matching markets, this Harvard-MIT paper finds that those prompts make play worse overall.

The authors use settings with known optimal strategies, so they can score every choice.

What helped was changing the interface.

An ascending auction, which presents one safe choice at a time, reduced bid errors across four model families. Plain descriptions of the payoffs and of why truthful bidding is safe also helped.

The agents' stated plans did not track their choices.

Interventions that improved bids left the measured reasoning quality in the plans unchanged, and some prompts improved the plans without improving bids.

The takeaway here is to evaluate a scaffold on the decisions it produces.

Paper: https://arxiv.org/abs/2609.36365

Chat with Paper: https://academy.dair.ai/papers/engineering-simplicity-simple-mechanism-interfaces-steer-llm-agents-2609.36365

来源:DAIR.AI · x.com