LLM-FACETS: A Privacy-Preserving Framework for Evaluating LLM Transparency and Accountability
DGX agentarXiv:2605.31167v1 Announce Type: new Abstract: Assessing whether Large Language Models outputs are factually grounded, epistemically calibrated, and methodologically reproducible is a prerequisite fo