FAGER is a new agentic framework that creates structured factual rubrics to evaluate and refine text-to-image outputs for implicit factual correctness across science, history, products, and culture.
Top-down facilitation of visual recog- nition.Proceedings of the national academy of sciences, 103 (2):449–454, 2006
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FAGER: Factually Grounded Evaluation and Refinement of Text-to-Image Models
FAGER is a new agentic framework that creates structured factual rubrics to evaluate and refine text-to-image outputs for implicit factual correctness across science, history, products, and culture.