{
  "id": 12216,
  "url": "https://arxiv.org/abs/2607.18034v1",
  "title": "AdaHome: An Adaptive Smart Home Assistant using Local Small Language Models",
  "summary": "Smart home assistants interpret a wide range of user commands, from explicit device control to underspecified and preference dependent requests. While recent systems based on Large Language Models (LLMs) improve this capability, they often rely on heavyweight reasoning pipelines and cloud-based deployment, limiting their efficiency and suitability for resource-constrained environments, and raising privacy concerns. In addition, existing approaches provide limited support for stable long-term per",
  "authors": "Eu Jin Lim, Zhaoxing Li, Sebastian Stein",
  "category": "research",
  "topics": "privacy-surveillance,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-20T15:01:41.000Z",
  "fetched_at": "2026-07-21T05:10:12.656Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/12216",
  "original_url": "https://arxiv.org/abs/2607.18034v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}