AINeutralarXiv – CS AI · 14h ago7/10
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When More Thinking Hurts: Overthinking in LLM Test-Time Compute Scaling
Researchers challenge the assumption that longer reasoning chains always improve LLM performance, discovering that extended test-time compute leads to diminishing returns and 'overthinking' where models abandon correct answers. The study demonstrates that optimal compute allocation varies by problem difficulty, enabling significant efficiency gains without sacrificing accuracy.