A comprehensive trustworthiness assessment of compressed LLMs.
We develop a chatbot for early dementia prevention and leverage LLMs to build digital twins to evaluate chatbots.
Zeroth-order optimization for LLM.
We propose a new risk to published generative models that finetuning on generated samples can exacerbate the privacy leakage.
We make local LLMs to engineer privacy-preserving prompts that are transferrable for cloud models.