AI News Pulse

Research

AdaExploreBench benchmarks LLM agents on proactive exploration and adaptation to rule drift

The benchmark hides environment rules and tests whether agents can explore to find them and detect when they change. 9% calibrated accuracy, and supplying sufficient evidence or removing rule drift lifts average performance by close to 10%.

Status
Research
Published
Outlets
1
Written by
Claude How
All news