arXiv AI
ChainPrune: Evaluating and Reducing Redundancy in Long Chain-of-Thought Reasoning
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OS-Pruner: Pruning Chains-of-Thought of Reasoning Models via Optimal Stopping
Large Language Models (LLMs) have achieved remarkable success in complex reasoning tasks through Chain-of-Thought (CoT) prompting. However, these models often exhibit "computational overthinking," generating redundant reasoning steps that increase latency and cost without improving accuracy.