How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning

Explain Like I'm Normal

Researchers have developed a framework to measure 'reasoning redundancy,' quantifying how much of a chain-of-thought trace is actually necessary for a correct answer. The study reveals that a significant portion of final-step 'deliberation' can be truncated without losing accuracy, suggesting massive potential for inference cost savings. This formalizes the difference between productive computation and circular self-reflection in reasoning models.