Li, X., Jia, Y., Li, X., Fessler, J. A., Wang, R., & Qu, Q. (2026). MCLR: Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment Objectives.
Chicago Style (17th ed.) CitationLi, Xiang, Yixuan Jia, Xiao Li, Jeffrey A. Fessler, Rongrong Wang, and Qing Qu. MCLR: Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment Objectives. 2026.
MLA (9th ed.) CitationLi, Xiang, et al. MCLR: Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment Objectives. 2026.
Warning: These citations may not always be 100% accurate.