7 citations · 7 across the 4 of their papers we have counts for
5 papers
Thoughtful Things: Building Human-Centric Smart Devices with Small Language Models
Evan King, Haoxiang Yu, Sahil Vartak +3
Everyday devices like light bulbs and kitchen appliances are now embedded with so many features and automated behaviors that they have become complicated to actually use. While suc…
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…
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…
"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…
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications
Sangsu Lee, Xi Zheng, Jie Hua +2
Pervasive computing applications commonly involve user's personal smartphones collecting data to influence application behavior. Applications are often backed by models that learn…