Frontier LLMs are effective batch optimizers: Assessing reasoning models in continuous and discrete settings
It is found that while LLMs are competitive zero-shot batch optimizers for numerical test functions, their performance is brittle compared to classical non-LLM optimization approaches.
Frank Hu, Shriram Chennakesavalu, David Graff
· 0 citations