8 citations · 17 across the 5 of their papers we have counts for
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cs.CL2023★ 2 cited
ToolTalk: Evaluating Tool-Usage in a Conversational Setting
Nicholas Farn, Richard Shin
Large language models (LLMs) have displayed massive improvements in reasoning and decision-making skills and can hold natural conversations with users. Many recent works seek to au…
cs.LG2023★ 8 cited
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
Xinyu Tang, Richard Shin, Huseyin A. Inan +6
We study the problem of in-context learning (ICL) with large language models (LLMs) on private datasets. This scenario poses privacy risks, as LLMs may leak or regurgitate the priv…