arxiv:2602.20092

BabyLM Turns 4: Call for Papers for the 2026 BabyLM Workshop

Published on Feb 23

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Abstract

BabyLM promotes integration of cognitive and language modeling through competitions and research papers focusing on data-efficient pretraining and multilingual approaches.

AI-generated summary

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.

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