Chen, C-Y, Wang, Z, Chen, Q, Ye, Z, Shi, M, Zhao, Y, Zhao, Y, Qu, H, Lin, W-A, Shen, Y, Kale, A, Essa, I, and Shi, H. MapReduce LoRA: Advancing the Pareto Front in Multi-Preference Optimization for Generative Models. Retrieved from https://par.nsf.gov/biblio/10694451.

Chen, C-Y, Wang, Z, Chen, Q, Ye, Z, Shi, M, Zhao, Y, Zhao, Y, Qu, H, Lin, W-A, Shen, Y, Kale, A, Essa, I, & Shi, H. MapReduce LoRA: Advancing the Pareto Front in Multi-Preference Optimization for Generative Models. Retrieved from https://par.nsf.gov/biblio/10694451.

Chen, C-Y, Wang, Z, Chen, Q, Ye, Z, Shi, M, Zhao, Y, Zhao, Y, Qu, H, Lin, W-A, Shen, Y, Kale, A, Essa, I, and Shi, H. "MapReduce LoRA: Advancing the Pareto Front in Multi-Preference Optimization for Generative Models". Country unknown/Code not available: IEEE Conference on Computer Vision and Pattern Recognition, 2026. https://par.nsf.gov/biblio/10694451.

@article{osti_10694451,
place = {Country unknown/Code not available}, title = {MapReduce LoRA: Advancing the Pareto Front in Multi-Preference Optimization for Generative Models}, url = {https://par.nsf.gov/biblio/10694451}, abstractNote = {}, journal = {}, publisher = {IEEE Conference on Computer Vision and Pattern Recognition, 2026}, author = {Chen, C-Y and Wang, Z and Chen, Q and Ye, Z and Shi, M and Zhao, Y and Zhao, Y and Qu, H and Lin, W-A and Shen, Y and Kale, A and Essa, I and Shi, H}, }