most citedPrivate, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy

2 citations · 4 across the 3 of their papers we have counts for

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cs.CL2024

YuLan: An Open-source Large Language Model

Yutao Zhu, Kun Zhou, Kelong Mao +35

Large language models (LLMs) have become the foundation of many applications, leveraging their extensive capabilities in processing and understanding natural language. While many o…