Model Selection And Capability Discovery

via “meta-probing agents for model capability discovery”

Microsoft's unified LLM evaluation and prompt robustness benchmark.

Unique: Uses agents to iteratively generate and refine probes that systematically explore model capability boundaries, rather than relying on static test suites. Agents learn from model responses to generate increasingly targeted probes that characterize capability gaps.

vs others: More comprehensive than manual capability testing because agents can systematically explore capability space and discover unexpected behaviors, whereas manual testing is limited by human creativity and effort.