2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs
Yixiao Zhou, Ziyu Zhao, Dongzhou Cheng +6
Sparse Mixture-of-Experts (SMoE) architectures are widely used in large language models (LLMs) due to their computational efficiency. However, though only a few experts are activat…
cs.LG2024★ 2 cited
Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning
Yuxin Fan, Zhuohuan Hu, Lei Fu +3
High-frequency trading (HFT) represents a pivotal and intensely competitive domain within the financial markets. The velocity and accuracy of data processing exert a direct influen…