Large Language Models

A Large-scale Empirical Study on Large Language Models for Election Prediction

Large-scale empirical study on LLMs for election prediction. (arXiv 2024)

C Yu, J Ye, Yuangang Li, Z Weng, Z Li, E Ferrara, X Hu, Yue Zhao

Ad-llm: Benchmarking large language models for anomaly detection

Comprehensive benchmark for evaluating LLMs in anomaly detection tasks. (arXiv 2024)

T Yang, Y Nian, S Li, R Xu, Yuangang Li, J Li, Z Xiao, R Rossi, K Ding, X Hu, Yue Zhao

Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement

A novel Federated Learning algorithm for spatio-temporal data analysis in urban environments. (SSTDM @ ICDM 2024)

J Gao, Yuangang Li, SF Ahmed

Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement

Fedbcgd: Communication-efficient accelerated block coordinate gradient descent for federated learning

A communication efficient method for federated learning (ACM MM 2024).

J Liu, F Shang, Y Liu, H Liu, Yuangang Li, YX Gong

Fedbcgd: Communication-efficient accelerated block coordinate gradient descent for federated learning