ZhuJiu - A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models: Privacy, Governance, and Responsible Adoption

Responsible adoption requires that performance be considered together with privacy exposure, governance controls, affected stakeholders, and routes for contesting decisions. This structured evidence review evaluates "ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models" alongside nine author-disjoint, topically matched publications in enterprise data intelligence. It compares construct definitions, evaluation choices, operating assumptions, and reported limitations instead of treating bibliographic similarity as empirical equivalence. Viewed through privacy, governance, and responsible adoption, the map separates claims supported by the available record from questions that still require full-text extraction, replication, or new experiments. The synthesis is interpretive rather than meta-analytic and therefore does not present a pooled effect estimate or a new causal result. The resulting agenda combines privacy testing, governance review, subgroup analysis, documentation, and accessible mechanisms for appeal.

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