10 citations · 21 across the 7 of their papers we have counts for
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cs.CL2025
MoE-Prism: Disentangling Monolithic Experts for Elastic MoE Services via Model-System Co-Designs
Xinfeng Xia, Xiaofeng Hou, Jiacheng Liu +5
Mixture-of-Experts (MoE) scales model capacity through sparse activation, and is becoming an important architecture for large language models (LLMs). However, existing MoE serving…
cs.CL2021★ 10 cited
DataCLUE: A Benchmark Suite for Data-centric NLP
Liang Xu, Jiacheng Liu, Xiang Pan +2
Data-centric AI has recently proven to be more effective and high-performance, while traditional model-centric AI delivers fewer and fewer benefits. It emphasizes improving the qua…