CXOD-7 and Coh(G): A Framework for Evaluating Offense and Defense in the Context of Large Language Models

Version 1.3.0 Updates: IEEE Conference format version. Main paper in English (primary file), Chinese version and supplementary materials (figures, BibTeX) included. This study introduces the CXOD-7 Seven-Dimension Framework and Coh(G) Contextual Coherence metric for evaluating AI safety through contextual offense and defense. Using a 7×7 matrix experiment, we demonstrate that context ≠ prompt and establish a comprehensive evaluation framework with Block Rate, Faithfulness, and Coh(G) metrics.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-21
DOI
https://doi.org/10.5281/zenodo.17136789
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

CXOD-7 and Coh(G): A Framework for Evaluating Offense and Defense in the Context of Large Language Models

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

CXOD-7 and Coh(G): A Framework for Evaluating Offense and Defense in the Context of Large Language Models

article en

Abstract

Version 1.3.0 Updates: IEEE Conference format version. Main paper in English (primary file), Chinese version and supplementary materials (figures, BibTeX) included. This study introduces the CXOD-7 Seven-Dimension Framework and Coh(G) Contextual Coherence metric for evaluating AI safety through contextual offense and defense. Using a 7×7 matrix experiment, we demonstrate that context ≠ prompt and establish a comprehensive evaluation framework with Block Rate, Faithfulness, and Coh(G) metrics.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 38%
Geochemistry and Geologic Mapping
DOIOpen Access PDFOpenAlex
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CXOD-7 and Coh(G): A Framework for Evaluating Offense and Defense in the Context of Large Language Models · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS