674 citations · 1.5k across the 15 of their papers we have counts for
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cs.CL2023★ 4 cited
In-context Example Selection with Influences
Tai Nguyen, Eric Wong
In-context learning (ICL) is a powerful paradigm emerged from large language models (LLMs). Despite its promises, ICL performance is known to be highly sensitive to input examples.…
cs.LG2023★ 13 cited
Black Box Adversarial Prompting for Foundation Models
Natalie Maus, Patrick Chao, Eric Wong +1
Prompting interfaces allow users to quickly adjust the output of generative models in both vision and language. However, small changes and design choices in the prompt can lead to…