5 citations · 8 across the 9 of their papers we have counts for
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cs.CL2024
Measuring Copyright Risks of Large Language Model via Partial Information Probing
Weijie Zhao, Huajie Shao, Zhaozhuo Xu +2
Exploring the data sources used to train Large Language Models (LLMs) is a crucial direction in investigating potential copyright infringement by these models. While this approach…
cs.NI2024★ 1 cited
NetBench: A Large-Scale and Comprehensive Network Traffic Benchmark Dataset for Foundation Models
Chen Qian, Xiaochang Li, Qineng Wang +2
In computer networking, network traffic refers to the amount of data transmitted in the form of packets between internetworked computers or Cyber-Physical Systems. Monitoring and a…
cs.LG2024★ 5 cited
Lens: A Knowledge-Guided Foundation Model for Network Traffic
Xiaochang Li, Chen Qian, Qineng Wang +7
Network traffic refers to the amount of data being sent and received over the Internet or any system that connects computers. Analyzing network traffic is vital for security and ma…