Author

José Cano

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Device-Aware Distillation of Small Language Models for Efficient Edge Intelligence

The rapid development of large language models has enabled strong reasoning and decision-making performance across a wide range of domains and complex system tasks such as Design Space Exploration, but their direct deployment on mobile and edge hardware remains constrained.

Vinamra Sharma, D. Pau, José Cano · 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. · 2 citations