Frontier LLMs are effective batch optimizers: Assessing reasoning models in continuous and discrete settings
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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 optimization settings. However, the effectiveness of modern reasoning LLMs in batch op…
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- 2026-09-04 04:00 · arXiv cs.LG
Frontier LLMs are effective batch optimizers: Assessing reasoning models in continuous and discrete settings
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