LLMs exhibit a persistent comprehension-execution gap in end-to-end mathematical modeling tasks, with a new stage-wise framework showing better alignment to human expert judgments than prior schemes.
During stitching we normalize equation numbering, caption anchors, cross-references, and enumerations to produce a syntactically consistent L ATEXsource for each problem
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How Far Are We? Systematic Evaluation of LLMs vs. Human Experts in Mathematical Contest in Modeling
LLMs exhibit a persistent comprehension-execution gap in end-to-end mathematical modeling tasks, with a new stage-wise framework showing better alignment to human expert judgments than prior schemes.