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arXiv · 2510.02337

CRACQ: A Multi-Dimensional Approach To Automated Document Assessment

Ishak Soltani·Francisco Belo·Bernardo Tavares
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Abstract

This paper presents CRACQ, a multi-dimensional evaluation framework tailored to evaluate documents across f i v e specific traits: Coherence, Rigor, Appropriateness, Completeness, and Quality. Building on insights from traitbased Automated Essay Scoring (AES), CRACQ expands its fo-cus beyond essays to encompass diverse forms of machine-generated text, providing a rubricdriven and interpretable methodology for automated evaluation. Unlike singlescore approaches, CRACQ integrates linguistic, semantic, and structural signals into a cumulative assessment, enabling both holistic and trait-level analysis. Trained on 500 synthetic grant pro-posals, CRACQ was benchmarked against an LLM-as-a-judge and further tested on both strong and weak real applications. Preliminary results in-dicate that CRACQ produces more stable and interpretable trait-level judgments than direct LLM evaluation, though challenges in reliability and domain scope remain

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Ishak Soltani, Francisco Belo, Bernardo Tavares. 2025-09-26. CRACQ: A Multi-Dimensional Approach To Automated Document Assessment. https://arxiv.org/abs/2510.02337

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