Style de citation APA (7e éd.)

Teotia, R., Ross, C., Ullrich, K., Chopra, S., Romero-Soriano, A., Hall, M., & Muckley, M. J. (2025). DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models.

Style de citation Chicago (17e éd.)

Teotia, Revant, Candace Ross, Karen Ullrich, Sumit Chopra, Adriana Romero-Soriano, Melissa Hall, et Matthew J. Muckley. DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models. 2025.

Style de citation MLA (9e éd.)

Teotia, Revant, et al. DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models. 2025.