47 citations · 54 across the 9 of their papers we have counts for
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cs.NE2024★ 47 cited
Evolutionary Optimization of Model Merging Recipes
Takuya Akiba, Makoto Shing, Yujin Tang +2
Large language models (LLMs) have become increasingly capable, but their development often requires substantial computational resources. While model merging has emerged as a cost-e…
cs.NE2023★ 2 cited
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications
Robert Tjarko Lange, Yujin Tang, Yingtao Tian
Recently, the Deep Learning community has become interested in evolutionary optimization (EO) as a means to address hard optimization problems, e.g. meta-learning through long inne…