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.

翻译：BabyLM 旨在消弭认知建模与语言建模之间的界限。我们诚邀研究者提交研讨会论文并参与第四届 BabyLM 竞赛。与往年相同，我们征集通用赛道的数据高效预训练挑战参与者。今年我们新增多语言赛道。同时，我们亦征集竞赛范围外的相关领域论文，包括训练效率、认知合理性研究、弱模型评估等方向。