3 citations · 4 across the 3 of their papers we have counts for
4 papers
When Keywords Drop but Classifiers Hold: Soft Refusals under KV Cache Compression
Kang Chen, Xiuze Zhou, Hong Chen +1
KV cache compression is widely used for long context LLM inference under memory constraints, while deployed systems typically score refusals after generation with keyword filters o…
Data Security in Large Language Models: Risks, Defense, and Directions
Kang Chen, Xiuze Zhou, Yuanguo Lin +6
Large Language Models (LLMs), now a foundation in advancing natural language processing, power applications such as text generation, machine translation, and conversational systems…
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…