83 citations · 128 across the 9 of their papers we have counts for
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cs.HC2023★ 83 cited
Sasha: Creative Goal-Oriented Reasoning in Smart Homes with Large Language Models
Evan King, Haoxiang Yu, Sangsu Lee +1
Smart home assistants function best when user commands are direct and well-specified (e.g., "turn on the kitchen light"), or when a hard-coded routine specifies the response. In mo…
cs.LG2023
iDML: Incentivized Decentralized Machine Learning
Haoxiang Yu, Hsiao-Yuan Chen, Sangsu Lee +3
With the rising emergence of decentralized and opportunistic approaches to machine learning, end devices are increasingly tasked with training deep learning models on-devices using…
cs.HC2023★ 7 cited
"Get ready for a party": Exploring smarter smart spaces with help from large language models
Evan King, Haoxiang Yu, Sangsu Lee +1
The right response to someone who says "get ready for a party" is deeply influenced by meaning and context. For a smart home assistant (e.g., Google Home), the ideal response might…