activity
20222026
most citedBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

565 citations · 565 across the 11 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.CL2026

Assessing the Impact of Language Disparity on Multilingual Linguistic Ability in Large Language Models

Zhanyu Chen, Jaap Jumelet

Claims about the grammatical competence of multilingual language models vary sharply with how competence is measured, yet the interaction between evaluation paradigm, post-training…

cs.CL2026

CAIT: A Syntactic Parsing Toolkit for Child-Adult InTeractions

Francesca Padovani, Xiulin Yang, Bastian Bunzeck +4

CHILDES is a paramount resource for language acquisition studies -- yet computational tools for analyzing its syntactic structure remain limited. Leveraging the recent release of t…

cs.CL2026

Is Child-Directed Language Optimized for Word Learning? A Computational Study of Verb Meaning Acquisition

Francesca Padovani, Jaap Jumelet, Yevgen Matusevych +1

Is child-directed language (CDL) optimized to support language learning, and which aspects of linguistic development does it facilitate? We investigate this question using neural l…

cs.CL2026

Vocabulary shapes cross-lingual variation of word-order learnability in language models

Jonas Mayer Martins, Jaap Jumelet, Viola Priesemann +1

Why do some languages like Czech permit free word order, while others like English do not? We address this question by pretraining transformer language models on a spectrum of synt…

cs.CL2026

BabyLM Turns 4 and Goes Multilingual: Call for Papers for the 2026 BabyLM Workshop

Leshem Choshen, Ryan Cotterell, Mustafa Omer Gul +7

The goal of the BabyLM is to stimulate new research connections between cognitive modeling and language model pretraining. We invite contributions in this vein to the BabyLM Worksh…