BabyLM Turns 4: Call for Papers for the 2026 BabyLM Workshop
February 23, 20262602.20092
Authors
Leshem Choshen,Ryan Cotterell,Mustafa Omer Gul,Jaap Jumelet,Raj Sanjay Shah
Abstract
BabyLM aims to dissolve the boundaries between cognitive modeling and language modeling. We call for both workshop papers and for researchers to join the 4th BabyLM competition.
As in previous years, we call for participants in the data-efficient pretraining challenge in the general track. This year, we also offer a new track: Multilingual.
We also call for papers outside the competition in any relevant areas. These include training efficiency, cognitively plausible research, weak model evaluation, and more.