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Post-Reasoning: Improving the Performance of Non-Thinking Models at No Cost

Xuan, Richmond Sin Jing et al.
arXiv (OAI Expanded) · Papers
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As the widespread adoption of Large Language Models (LLMs) accelerates, token consumption from intermediate reasoning traces increasingly contributes to inference latency and operational cost. Recent studies suggest that many real-world tasks require little to no explicit reasoning, with additional
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