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Ke-Zhi Mao

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#artificial intelligence Preprint Oct 2026

SYNLAT: Syntax-Aligned Text-Latent Compression for Chain-of-Thought Reasoning

This work introduces SynLat, a text-latent CoT framework that aligns compression boundaries with syntactic structure through non-overlapping Syntax-Aligned Units (SAUs) and generates mixed reasoning from only the question and requested compression level at inference.

Yi-Feng Zhao, Hong-Jun Yu, Shi-Bo Wang et al. · 0 citations

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