Yejin Lee

According to our database, Yejin Lee authored at least 4 papers in 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference.

Yejin Lee, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodriguez, Ram Pasunuru, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu

CoRR, 2024

Is Flash Attention Stable?

Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu

CoRR, 2024

Generative AI Beyond LLMs: System Implications of Multi-Modal Generation.

Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2024

CHAI: Clustered Head Attention for Efficient LLM Inference.

Saurabh Agarwal, Bilge Acun, Basil Hosmer, Mostafa Elhoushi, Yejin Lee, Shivaram Venkataraman, Dimitris Papailiopoulos, Carole-Jean Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024