Challenge Submission
Submission of models and results via HuggingFace and evaluation pipeline; must adhere to 10-epoch training limit.
EMNLP 2026 Workshop: BabyLM ARR
BabyLM 2026 is a shared task and workshop co-located with EMNLP 2026 that promotes sample-efficient language model pretraining using developmentally plausible, human-scale data budgets. It aims to democratize LM research by focusing on low-resource training scenarios inspired by child language acquisition, with updated datasets and a new MultiLingual track emphasizing English, Dutch, and Chinese.
Full paper
August 3, 2026
AoE
Workshop timeline
Full paperKey deadline
August 3, 2026 · AoE
Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
Submission of models and results via HuggingFace and evaluation pipeline; must adhere to 10-epoch training limit.
Paper submission following CoNLL template (4-8 pages) with hyperparameter form; not required to follow challenge compute limits.
Commitment of papers already submitted to ACL Rolling Review with reviews, to be considered for the BabyLM workshop.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026