Zekun Wu

Compact finite-state machines can predict LLM agent failures with up to 94% accuracy, revealing that deployment harnesses shape behavior more than the models themselves.

Routing supervision falters precisely when it's most needed, as weaker agents yield fewer labels, limiting the potential for optimal mode selection.