Author

David R. Kaeli

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Preprint Aug 2026

From Retrieved Context to Runtime Control: Adaptive Compression for Edge-based RAG

Retrieval-augmented generation (RAG) improves language-model responses by grounding generation in external passages, which comes with overhead: retrieved context lengthens the prompt, increasing prefill work, KV-cache footprint, memory traffic, latency, and energy. Context compression offers a natural remedy by pruning...

Z. Feric, Amir Taherin, Yanzhi Wang et al. · 0 citations

Preprint Aug 2026

Hydra: Phase-Aware Workload Characterization of LLM Inference across Edge SoC Generations, Backends, and Quantization Levels

Hydra is presented, a common-schema, phase-aware workload characterization framework for LLM inference on edge SoCs that enables reproducible, phase-aware characterization of edge LLM inference.

Amir Taherin, Sana Taghipour Anvari, Charles Amante et al. · 1 citation