no code implementations • 9 Dec 2023 • Lingfan Yu, Jinyang Li
Consequently, when LLMs are used in the common setting of multi-turn conversations, a growing log of the conversation history must be processed alongside any request by the serving system at each turn, resulting in repeated history processing.
1 code implementation • 19 Nov 2020 • Lingfan Yu, Jiajun Shen, Jinyang Li, Adam Lerer
Graph neural networks (GNNs) are a popular class of parametric model for learning over graph-structured data.
Ranked #20 on Node Property Prediction on ogbn-mag
7 code implementations • 3 Sep 2019 • Minjie Wang, Da Zheng, Zihao Ye, Quan Gan, Mufei Li, Xiang Song, Jinjing Zhou, Chao Ma, Lingfan Yu, Yu Gai, Tianjun Xiao, Tong He, George Karypis, Jinyang Li, Zheng Zhang
Advancing research in the emerging field of deep graph learning requires new tools to support tensor computation over graphs.
Ranked #35 on Node Classification on Cora