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cs.AI2026
Large Language Models as Optimizers: A Survey of Direct vs. Tool-Augmented Approaches and Their Performance Frontiers
Roko Peran, Luka Hobor, Mihael Kovac +1
Large Language Models (LLMs) are increasingly involved in complex mathematical optimization, even if the pragmatic user who triggers them is unaware of it. After all, many real-wor…
cs.AI2026
Bayesian Elicitation with LLMs: Model Size Helps, Extra "Reasoning" Doesn't Always
Luka Hobor, Mario Brcic, Mihael Kovac +1
Large language models (LLMs) have been proposed as alternatives to human experts for estimating unknown quantities with associated uncertainty, a process known as Bayesian elicitat…