CRACQ: A Multi-Dimensional Approach To Automated Document Assessment

• URL: http://arxiv.org/abs/2510.02337v1
• Date: Fri, 26 Sep 2025 17:01:54 GMT
• Title: CRACQ: A Multi-Dimensional Approach To Automated Document Assessment
• Authors: Ishak Soltani, Francisco Belo, Bernardo Tavares,
• Abstract summary: CRACQ is a multi-dimensional evaluation framework tailored to evaluate documents across f i v e specific traits: Coherence, Rigor, Appropriateness, Completeness, and Quality.<n>It integrates linguistic, semantic, and structural signals into a cumulative assessment, enabling both holistic and trait-level analysis.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• 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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