GovBench: Benchmarking LLM Agents for Real-World Data Governance Workflows

Автори: Zhou Liu, Zhaoyang Han, Guochen Yan, Hao Liang, Bohan Zeng, Xing Chen, Yuanfeng Song, Wentao Zhang

Опубліковано: 2025-12-05

Переглянути на arXiv →

Анотація

GovBench introduces a benchmark for evaluating Large Language Model agents in real-world data governance workflows, which is crucial for the deployment of trustworthy AI in regulated environments.

GovBench: Benchmarking LLM Agents for Real-World Data Governance Workflows

Автори: Zhou Liu, Zhaoyang Han, Guochen Yan, Hao Liang, Bohan Zeng, Xing Chen, Yuanfeng Song, Wentao Zhang

Опубліковано: 2025-12-05

Переглянути на arXiv →

Анотація

GovBench introduces a benchmark for evaluating Large Language Model agents in real-world data governance workflows, which is crucial for the deployment of trustworthy AI in regulated environments.

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GovBench: Benchmarking LLM Agents for Real-World Data Governance Workflows | ArXiv Intelligence