1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
Community size rather than grammatical complexity better predicts Large Language Model accuracy in a novel Wug Test
Nikoleta Pantelidou, Evelina Leivada, Raquel Montero +1
The linguistic abilities of Large Language Models are a matter of ongoing debate. This study contributes to this discussion by investigating model performance in a morphological ge…
Large Language Model probabilities cannot reliably distinguish between possible and impossible language
Evelina Leivada, Raquel Montero, Paolo Morosi +5
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 cros…