edge computing 1human activity recognition 1large language models 1retrieval-augmented generation 1wearable sensors 1
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cs.LG2026
RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment
Hansi Karunarathna, Nirhoshan Sivaroopan, Chamara Madarasingha +2
The paper presents RAG-HAR+, a cost‑efficient system that combines retrieval of similar sensor data with large language model (LLM) assistance to recognize human activities on edge…
cs.LG2025
Univariate to Multivariate: LLMs as Zero-Shot Predictors for Time-Series Forecasting
Chamara Madarasingha, Nasrin Sohrabi, Zahir Tari
Time-series prediction or forecasting is critical across many real-world dynamic systems, and recent studies have proposed using Large Language Models (LLMs) for this task due to t…