Thinking Inside the Gameboard: Evaluating LLM Reasoning Step-by-Step
TL;DR for operators Most AI evaluations still ask the wrongly narrow question: did the model get the answer right? That is useful, but it is not enough when the model is expected to act as an agent, revise plans, obey constraints, and recover from failure without turning the workflow into a procedural bonfire. ...