Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models

Zhenyuan Guo, Tong Chen, Wenlong Meng, Chen Gong, Xin Yu, Chengkun Wei, Wenzhi Chen

Jun 5, 2026 at 04:00

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arXiv:2601.18383v2 Announce Type: replace Abstract: Large Reasoning Models (LRMs) excel at solving complex problems by explicitly generating a reasoning trace before deriving the final answer. However, these extended generations incur substantial memory footprint and computational overhead, bottlenecking LRMs' efficiency. This work uses attention...

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