RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment
Scanned 9/11/2026
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---
name: rag-har-towards-cost-efficient-llm-based-human-act
description: RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment
version: 1.0.0
date: 2026-07-30
arxiv_id: 2607.26631
tags: ["arxiv", "research", "paper", "nlp-llm"]
activation_keywords: ["rag", "har", "towards", "cost", "efficient"]
---
# RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment
**arXiv ID:** 2607.26631
**Utility Score:** 1.00
**Authors:** Hansi Karunarathna, Nirhoshan Sivaroopan, Chamara Madarasingha
**URL:** https://arxiv.org/abs/2607.26631
## 概述
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment
这是一篇来自 arXiv 的高价值论文(utility score: 1.00),通过自动追踪系统识别。
## 核心创新
*待研究论文内容后填写*
## 应用场景
*待研究论文内容后填写*
## 实现要点
*待研究论文内容后填写*
## 参考资源
- [arXiv论文](https://arxiv.org/abs/2607.26631)
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