2 papers
cs.CL2026
Hybrid Models for Natural Language Reasoning: The Case of Syllogistic Logic
Manuel Vargas Guzmán, Jakub Szymanik, Maciej Malicki
Despite the remarkable progress in neural models, their ability to generalize, a cornerstone for applications such as logical reasoning, remains a critical challenge. We delineate…
cs.CL2026
Teaching Small Language Models to Learn Logic through Meta-Learning
Leonardo Bertolazzi, Manuel Vargas Guzmán, Raffaella Bernardi +2
Large language models (LLMs) are increasingly evaluated on reasoning tasks, yet their logical abilities remain contested. To address this, we study LLMs' reasoning in a well-define…