EntroCut: Entropy-Guided Adaptive Truncation for Efficient Chain-of-Thought Reasoning in Small-scale Large Reasoning Models
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Freshness: 2026-04-02T02:30:40.136932+00:00Claims: 0
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Source paper: EntroCut: Entropy-Guided Adaptive Truncation for Efficient Chain-of-Thought Reasoning in Small-scale Large Reasoning Models
PDF: https://arxiv.org/pdf/2601.22617v1
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Coverage: 33%
Last proof check: 2026-03-19T18:48:05.835633Z
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Paper mode: EntroCut: Entropy-Guided Adaptive Truncation for Efficient Chain-of-Thought Reasoning in Small-scale Large Reasoning Models
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EntroCut: Entropy-Guided Adaptive Truncation for Efficient Chain-of-Thought Reasoning in Small-scale Large Reasoning Models
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Coverage: 33%
References: 0
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Last verification: 3/19/2026, 6:48:05 PM
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Coverage: 33%
References: 0
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Last verification: 3/19/2026, 6:48:05 PM
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