On-Device Intent Reasoning for Smart Home Agents Via Ontology-Augmented sLLMs
Large language model (LLM)-based agents offer powerful natural language understanding for smart home intent interpretation but typically require cloud deployment, raising concerns over privacy, latency, and resource usage. While sLLM can run on-device, they lack the structured contextual knowledge n...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2025-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11259048/ |
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