13 citations · 17 across the 3 of their papers we have counts for
4 papers
TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic Representation
Tianyu Cui, Xinjie Lin, Sijia Li +4
Machine learning (ML) powered network traffic analysis has been widely used for the purpose of threat detection. Unfortunately, their generalization across different tasks and unse…
A survey on fairness of large language models in e-commerce: progress, application, and challenge
Qingyang Ren, Zilin Jiang, Jinghan Cao +6
This survey explores the fairness of large language models (LLMs) in e-commerce, examining their progress, applications, and the challenges they face. LLMs have become pivotal in t…
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
Tianyu Cui, Yanling Wang, Chuanpu Fu +13
Large language models (LLMs) have strong capabilities in solving diverse natural language processing tasks. However, the safety and security issues of LLM systems have become the m…
More than Correlation: Do Large Language Models Learn Causal Representations of Space?
Yida Chen, Yixian Gan, Sijia Li +2
Recent work found high mutual information between the learned representations of large language models (LLMs) and the geospatial property of its input, hinting an emergent internal…