arXiv cs.CL
6/23/2026

Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices
Short summary
CORE is a lightweight prompt compression method for RAG-based QA systems that eliminates auxiliary language models, using named entity recognition and semantic matching. It achieves 30% accuracy gains and 50%+ memory reduction on edge devices like smartphones and Jetson boards. Energy consumption drops 96% compared to existing methods, making it practical for mobile deployment.
- •Two-stage compression using NER and semantic matching—no auxiliary models needed
- •30% accuracy improvement, 50%+ memory reduction, 2x speedup on edge devices
- •96% energy reduction on smartphones vs. LLMLingua2
Generated with AI, which can make mistakes.
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