3 citations · 4 across the 4 of their papers we have counts for
4 papers
A Survey on Data Security in Large Language Models
Kang Chen, Xiuze Zhou, Yuanguo Lin +4
Large Language Models (LLMs), now a foundation in advancing natural language processing, power applications such as text generation, machine translation, and conversational systems…
Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis
Junzhuo Li, Bo Wang, Xiuze Zhou +3
The interpretability of Mixture-of-Experts (MoE) models, especially those with heterogeneous designs, remains underexplored. Existing attribution methods for dense models fail to c…
A Survey on Privacy Risks and Protection in Large Language Models
Kang Chen, Xiuze Zhou, Yuanguo Lin +3
Although Large Language Models (LLMs) have become increasingly integral to diverse applications, their capabilities raise significant privacy concerns. This survey offers a compreh…
Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction
Yujie Ding, Shuai Jia, Tianyi Ma +4
The remarkable achievements and rapid advancements of Large Language Models (LLMs) such as ChatGPT and GPT-4 have showcased their immense potential in quantitative investment. Trad…