When the Evidence Changes, Does the Agent?
TL;DR for operators An AI agent can finish a workflow correctly, explain its decisions, and recover after retries without demonstrating that it can respond appropriately when information changes. Sejin Kim and Sundong Kim propose evaluating adaptive reasoning through two complementary capabilities: transferring applicable rules across related tasks and revising decisions when new evidence invalidates an earlier assumption.1 ...