Large Language Models

Large Language Models for Optimization
Studying LLMs as generative, representational, and decision-support components in optimization systems.
26 Sep 2026
Francesca Da Ros Wins the 2026 AIROYoung Dissertation Award

IOLab congratulates Francesca Da Ros on winning the 2026 AIROYoung Dissertation Award with her thesis, Chronicles on Metaheuristic Optimization: Components, Applications, and Large Language Models. The award ceremony took place on 10 September 2026 during the national ODS conference in Galzignano Terme, Italy.

10 Sep 2026 2 min read
Francesca Da Ros Wins the 2026 AIROYoung Dissertation Award
Large Language Models for Combinatorial Optimization: A Systematic Review
This systematic review explores the application of Large Language Models (LLMs) in Combinatorial Optimization (CO). We report our …
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Behavior and representation in open-weight Large Language Models for combinatorial optimization: From feature extraction to algorithm selection
Recent advances in Large Language Models (LLMs) open new perspectives for automation in optimization, yet little is known about whether …
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