Papers by Lorenzo Tordi
Can Large Language Models Win the International Mathematical Games? (2025.emnlp-main)
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Alessio Cocchieri, Luca Ragazzi, Giuseppe Tagliavini, Lorenzo Tordi, Antonella Carbonaro, Gianluca Moro
| Challenge: | Recent advances in large language models (LLMs) have demonstrated strong mathematical reasoning abilities, even in visual contexts. |
| Approach: | They propose a benchmark of 2,183 high-quality mathematical problems in an open-ended format that enables a structured evaluation of LLMs’ mathematical and logical reasoning abilities. |
| Outcome: | The new benchmark spans seven age groups and a skill-based taxonomy and enables a structured evaluation of LLMs’ mathematical and logical reasoning abilities. |