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Paper · arXiv

A Dual-Track Framework for Template-Constrained LaTeX Conversion

With the increasing demands for advanced document conversion, mapping structured Markdown drafts into template-compliant formats like LaTeX remains a challenge. Existing approaches largely depend on either deterministic rule-based converters or pure end-to-end Large Language Model (LLM) generation. The former fails to correctly handle asset insertions and template-specific constraints, while the latter tends to induce semantic drift, leading to hallucinations that are difficult to debug. To address these limitations, we introduce a robust Dual-Track Framework that systematically decouples template formatting from document processing: an offline track extracts template constraints into a r...

AuthorsChung Cheuk Hei, Liu Li
Primary categorycs.CL
Published22 June 2026
Last updated at source22 June 2026
cs.CL
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