118 citations · 137 across the 17 of their papers we have counts for
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cs.AI2024★ 8 cited
Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents
Yuyou Gan, Yong Yang, Zhe Ma +10
With the continuous development of large language models (LLMs), transformer-based models have made groundbreaking advances in numerous natural language processing (NLP) tasks, lea…
cs.LG2024★ 118 cited
A Survey on LoRA of Large Language Models
Yuren Mao, Yuhang Ge, Yijiang Fan +4
Low-Rank Adaptation~(LoRA), which updates the dense neural network layers with pluggable low-rank matrices, is one of the best performed parameter efficient fine-tuning paradigms.…
cs.CL2024★ 4 cited
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction
Yuren Mao, Xuemei Dong, Wenyi Xu +3
Due to the extraordinarily large number of parameters, fine-tuning Large Language Models (LLMs) to update long-tail or out-of-date knowledge is impractical in lots of applications.…