Frontier LLMs serve as effective batch optimizers in continuous and discrete settings
Read the original at arxiv.org→arXiv:2609.03177v1 Announce Type: new Abstract: Frontier large language models (LLMs) have become attractive priors for optimization due to their large-scale pretraining that enables them to navigate a variety of...
Original headline: "Frontier LLMs are effective batch optimizers: Assessing reasoning models in continuous and discrete settings"
Coverage timeline
- Sep 4, 04:00 UTC arXiv cs.LG lead source Frontier LLMs are effective batch optimizers: Assessing reasoning models in continuous and discrete settings