Grounding foundation models through federated transfer learning: A general framework

Y Kang, T Fan, H Gu, L Fan, Q Yang - arXiv preprint arXiv:2311.17431, 2023 - arxiv.org
Foundation Models (FMs) such as GPT-4 encoded with vast knowledge and powerful
emergent abilities have achieved remarkable success in various natural language …

Sasha: creative goal-oriented reasoning in smart homes with large language models

E King, H Yu, S Lee, C Julien - Proceedings of the ACM on Interactive …, 2024 - dl.acm.org
Smart home assistants function best when user commands are direct and well-specified---
eg," turn on the kitchen light"---or when a hard-coded routine specifies the response. In more …

RASP: A Drone-based Reconfigurable Actuation and Sensing Platform Towards Ambient Intelligent Systems

M Zhao, J Xia, K Hou, Y Liu, S Xia, X Jiang - arXiv preprint arXiv …, 2024 - arxiv.org
Realizing consumer-grade drones that are as useful as robot vacuums throughout our
homes or personal smartphones in our daily lives requires drones to sense, actuate, and …

A Solution-based LLM API-using Methodology for Academic Information Seeking

Y Wang, J Yu, Z Yao, J Zhang, Y Xie, S Tu, Y Fu… - arXiv preprint arXiv …, 2024 - arxiv.org
Applying large language models (LLMs) for academic API usage shows promise in reducing
researchers' academic information seeking efforts. However, current LLM API-using …

Enabling Device Control Planning Capabilities of Small Language Model

S Paul, L Zhang, Y Shen, H Jin - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Smart home device control is a difficult task if the instruction is abstract and the planner
needs to adjust dynamic home configurations. With the increasing capability of Large …

Thoughtful Things: Building Human-Centric Smart Devices with Small Language Models

E King, H Yu, S Vartak, J Jacob, S Lee… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

Mixed Reality IoT Smart Environments with Large Language Model Agents

S Khelifi, A Morris - 2024 IEEE 4th International Conference on …, 2024 - ieeexplore.ieee.org
The convergence of emerging technologies in mixed reality (XR), artificial intelligence (AI),
and the internet of things (IoT) has given rise to new possibilities in smart space design and …

Leveraging Large Language Models for enhanced personalised user experience in Smart Homes

J Rey-Jouanchicot, A Bottaro, E Campo… - arXiv preprint arXiv …, 2024 - arxiv.org
Smart home automation systems aim to improve the comfort and convenience of users in
their living environment. However, adapting automation to user needs remains a challenge …

Towards Citizen-Centric Multiagent Systems Based on Large Language Models

Z Li, V Yazdanpanah, S Sarkadi, Y He… - Proceedings of the …, 2024 - dl.acm.org
The rapid evolution of Large Language Models (LLMs), exemplified by GPT-4, has ushered
in a transformative era in artificial intelligence (AI). This paper introduces the concept of …

[PDF][PDF] Active Collaboration in IoT: Cognitive-agent Oriented Resource-centric Architecture

Y Dong, S Zhang, X Yao, J Zhang… - IEEE 2024 33rd …, 2024 - researchgate.net
The Internet of Things (IoT) has emerged as a transformative technology, but its full potential
remains unrealized due to challenges such as unclear and dynamic requirements, lack of …