most citedOn the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

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cs.CY2026★ 1 cited

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

Yue Huang, Chujie Gao, Siyuan Wu +63

Generative Foundation Models (GenFMs) have emerged as transformative tools. However, their widespread adoption raises critical concerns regarding trustworthiness across dimensions.…