2 papers
cs.CY2026
Modest, artistic, and radical solutions to the environmental impact of image-generating machine learning
Laura U. Marks, Jess MacCormack, Kehui Li
Machine learning is often touted to improve the efficiency of ICT, but that small gain is overwhelmed by the enormous carbon, water, and land footprints of data centers and ML-read…
cs.CL2024
Is the System Message Really Important to Jailbreaks in Large Language Models?
Xiaotian Zou, Yongkang Chen, Ke Li
The rapid evolution of Large Language Models (LLMs) has rendered them indispensable in modern society. While security measures are typically to align LLMs with human values prior t…