43 citations · 126 across the 29 of their papers we have counts for
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cs.NE2023★ 40 cited
LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization
Muhammad U. Nasir, Sam Earle, Christopher Cleghorn +2
Large Language Models (LLMs) have emerged as powerful tools capable of accomplishing a broad spectrum of tasks. Their abilities span numerous areas, and one area where they have ma…
cs.NE2022★ 16 cited
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels
Michael Beukman, Christopher W Cleghorn, Steven James
Procedurally generated video game content has the potential to drastically reduce the content creation budget of game developers and large studios. However, adoption is hindered by…