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arXiv Paper Proposes 'Post-Reasoning' Method to Improve Non-Thinking LLMs
A revised arXiv preprint introduces a technique called post-reasoning that aims to raise the quality of large language model outputs produced without intermediate reasoning traces. The work targets the cost and latency that come from generating long chains of thought at inference time, arguing that many practical tasks do not need them. The authors present the approach as an add-on that improves non-reasoning models without extra expense.