AI Frontier Lectures
AI Frontier Lectures
Apr 23, 2025 · Artificial Intelligence

Why Skipping the Thinking Step Makes Large Language Models More Accurate

UC Berkeley researchers found that forcing large language models to skip explicit reasoning—using a “NoThinking” mode—can achieve comparable or better accuracy with significantly fewer tokens, especially under token budget constraints, across math, coding, and theorem‑proving benchmarks.

NoThinkingreasoningtoken efficiency
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Why Skipping the Thinking Step Makes Large Language Models More Accurate