Jian Yao
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126
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AI×1
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2026
SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning
The paper proposes SLAT, a segment-level adaptive trimming framework, which efficiently reduces redundant reasoning in large language model CoT outputs by selectively suppressing segments with low marginal utility.
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