- author = "Takuya Akiba",
- title = "Evolutionary Optimization of Model Merging Recipes",
- booktitle = "2nd GECCO workshop on Graph-based Genetic Programming",
- year = "2024",
- editor = "Dennis G. Wilson and Roman Kalkreuth and Eric Medvet and Giorgia Nadizar and Giovanni Squillero and Alberto Tonda and Yuri Lavinas",
- address = "Melbourne",
- series = "GECCO '24",
- month = "14 " # jul,
- organisation = "SIGEVO",
- publisher = "Association for Computing Machinery",
- publisher_address = "New York, NY, USA",
- note = "Invited talk",
- keywords = "genetic algorithms, genetic programming, ANN, LLM",
-
URL = "
https://arxiv.org/abs/2403.13187",
-
URL = "https://sakana.ai/evolutionary-model-merge/",
-
URL = "https://graphgp.com/program/#evolutionary-optimization-of-model-merging-recipes",
-
code_url = "https://github.com/SakanaAI/evolutionary-model-merge",
-
notes = "Abstract only. No paper in GECCO 2024
proceedings.
GECCO-2024 A Recombination of the 33rd International Conference on Genetic Algorithms (ICGA) and the 29th Annual Genetic Programming Conference (GP)",
