BabyLM Turns 4: Call for Papers for the 2026 BabyLM Workshop
Abstract
BabyLM promotes integration of cognitive and language modeling through competitions and research papers focusing on data-efficient pretraining and multilingual approaches.
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.
Community
Hello, I'm a friend from Taiwan. I recently learned about the BabyLM program and am looking forward to participating in it, writing papers, and competing. I'm currently applying for an OpenReview account, but the deadline is July 15th, so I'm a little nervous and might not make it in time. Could you please give me some advice?
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