代理工具
PACE-Bench Breaks Existing Agent Designs After Physics Rules Change; Best Full-Scale Configuration Reaches Just 35.9% Pass@2
PACE-Bench uses 144 executable physics environments to test whether agents can repair previously successful program designs that fail after changes to friction or material constraints. Experiments show that reflection outperforms unverified self-revision, while long-term memory can anchor stronger models to early solutions.