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New framework MioFFAn aids formula formalization with LLM automation

Researchers have developed MioFFAn, an open-source framework designed to streamline the annotation of mathematical formulas in scientific literature for translation into executable symbolic code. This tool, built on the MioGatto architecture, offers customizable features for selecting equations and specifying symbolic code, adapting to various scientific domains. MioFFAn also incorporates partial automation through Large Language Models, enabling researchers to refine and evaluate automated sub-tasks using standard NLP metrics, demonstrating the effectiveness of a human-in-the-loop approach. AI

IMPACT This framework could accelerate research by enabling more efficient conversion of mathematical expressions into executable code.

RANK_REASON The item describes a new open-source framework for formula formalization presented in a research paper. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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New framework MioFFAn aids formula formalization with LLM automation

COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Nicolas Sibuet, Horacio Saggion, Riccardo Rossi ·

    MioFFAn: an Annotation Software for Formula Formalization with LLM Automation Capabilities

    arXiv:2607.22552v1 Announce Type: new Abstract: The automatic translation of mathematical expressions in scientific literature into executable symbolic code (a process we refer to as Formula Formalization) is hindered by a severe scarcity of high-quality, ground-truth datasets sp…