no code implementations • 25 May 2024 • Jianling Wang, Haokai Lu, Yifan Liu, He Ma, Yueqi Wang, Yang Gu, Shuzhou Zhang, Ningren, Han, Shuchao Bi, Lexi Baugher, Ed Chi, Minmin Chen
Traditional recommendation systems are subject to a strong feedback loop by learning from and reinforcing past user-item interactions, which in turn limits the discovery of novel user interests.
no code implementations • 7 Mar 2024 • Edgar Mauricio Salazar Duque, Juan S. Giraldo, Pedro P. Vergara, Phuong H. Nguyen, Han, Slootweg
In this paper, we present two multidimensional power flow formulations based on a fixed-point iteration (FPI) algorithm to efficiently solve hundreds of thousands of power flows in distribution systems.
no code implementations • 4 Feb 2024 • Zifei, Han, Jionghao Lin, Ashish Gurung, Danielle R. Thomas, Eason Chen, Conrad Borchers, Shivang Gupta, Kenneth R. Koedinger
The results indicate that the RAG prompt demonstrated more accurate performance (assessed by the level of hallucination and correctness in the generated assessment texts) and lower financial costs than the other strategies evaluated.