Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...
Abstract: The recent quest for automated decryption in different domains such as military, espionage, etc. has piqued the interest of the scientific community in developing computationally efficient ...
Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...
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