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Found 4 papers, 1 papers with code
Thoughtful Things: Building Human-Centric Smart Devices with Small Language Models
We propose an end-to-end framework that leverages formal modeling, automated training data synthesis, and generative language models to create devices that are both capable and thoughtful in the presence of unconstrained user goals and inquiries.
Cheating off your neighbors: Improving activity recognition through corroboration
From solely an individual's perspective, it can be difficult to differentiate between these activities as they may appear very similar, even though they are markedly different.
Sasha: Creative Goal-Oriented Reasoning in Smart Homes with Large Language Models
We implement and evaluate Sasha in a hands-on user study, showing the capabilities and limitations of LLM-driven smart homes when faced with unconstrained user-generated scenarios.
"Get ready for a party": Exploring smarter smart spaces with help from large language models
We first explore the feasibility of a system that places an LLM at the center of command inference and action planning, showing that LLMs have the capacity to infer intent behind vague, context-dependent commands like "get ready for a party" and respond with concrete, machine-parseable instructions that can be used to control smart devices.
