XiangqiBench: A New Closed-Loop Evaluation for LLM Agents in Game Settings

Core summary

One sentence to understand this update

Researchers introduce XiangqiBench, a benchmark for closed-loop evaluation of LLM agents, emphasizing the importance of carrying out a plan to a verified outcome against an opponent, rather than just suggesting moves.

Impact & opportunity

What this could mean

Builders of strategic AI agents can utilize XiangqiBench to develop and rigorously test their models' ability to execute plans and adapt in dynamic, adversarial environments.