3 papers
cs.CL2026
Quantification and object perception in Multimodal Large Language Models and human linguistic cognition
Raquel Montero, Natalia Moskvina, Paolo Morosi +3
Quantification has been proven to be a particularly difficult linguistic phenomenon for (Multimodal) Large Language Models (MLLMs). However, given that quantification interfaces wi…
cs.CL2026
Multilingual Large Language Models do not comprehend all natural languages to equal degrees
Natalia Moskvina, Raquel Montero, Masaya Yoshida +8
Large Language Models (LLMs) play a critical role in how humans access information. While their core use relies on comprehending written requests, our understanding of this ability…
cs.CL2025
Large Language Model probabilities cannot distinguish between possible and impossible language
Evelina Leivada, Raquel Montero, Paolo Morosi +4
A controversial test for Large Language Models concerns the ability to discern possible from impossible language. While some evidence attests to the models' sensitivity to what cro…