2 citations · 3 across the 3 of their papers we have counts for
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cs.AI2026
The Real Cost of Context: Predicting Compute Time and Energy Consumption in LLM Prefill and Decode Phases
Lars Krupp, Daniel Geißler, Francisco M. Calatrava-Nicolas +3
The integration of Large Language Models (LLMs) into agentic architectures has substantially increased token consumption, raising concerns about their energy footprint. Yet, estima…
cs.AI2024
GenAI Assisting Medical Training
Stefan Fritsch, Matthias Tschoepe, Vitor Fortes Rey +4
Medical procedures such as venipuncture and cannulation are essential for nurses and require precise skills. Learning this skill, in turn, is a challenge for educators due to the n…