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New benchmark evaluates PDF parsers for mathematical formula extraction

Researchers have developed a new framework for evaluating how well document parsers can extract mathematical formulas from PDFs. This system uses synthetically generated PDFs with precise LaTeX ground truth and employs an LLM-as-a-judge approach to assess the semantic equivalence of parsed formulas. Evaluating over 20 parsers on 100 synthetic documents revealed significant performance differences, offering guidance for practitioners. AI

IMPACT Provides a standardized method to evaluate and improve AI's ability to process and understand mathematical content within academic literature.

RANK_REASON The cluster contains an academic paper detailing a new benchmarking framework for evaluating PDF parsers on mathematical formula extraction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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New benchmark evaluates PDF parsers for mathematical formula extraction

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Pius Horn, Janis Keuper ·

    Benchmarking Document Parsers on Mathematical Formula Extraction from PDFs

    arXiv:2512.09874v2 Announce Type: replace Abstract: Correctly parsing mathematical formulas from PDFs is critical for training large language models and building scientific knowledge bases from academic literature, yet existing benchmarks either exclude formulas entirely or lack …