6 citations · 31 across the 13 of their papers we have counts for
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cs.AI2024★ 3 cited
Tuning-Free Accountable Intervention for LLM Deployment -- A Metacognitive Approach
Zhen Tan, Jie Peng, Tianlong Chen +1
Large Language Models (LLMs) have catalyzed transformative advances across a spectrum of natural language processing tasks through few-shot or zero-shot prompting, bypassing the ne…
cs.AI2024
Privacy-preserving Fine-tuning of Large Language Models through Flatness
Tiejin Chen, Longchao Da, Huixue Zhou +4
The privacy concerns associated with the use of Large Language Models (LLMs) have grown recently with the development of LLMs such as ChatGPT. Differential Privacy (DP) techniques…