Challenge Submission
Submission of models and results via HuggingFace and evaluation pipeline; must adhere to 10-epoch training limit.
The BabyLM Challenge at EMNLP 2026
The BabyLM Challenge 2026 is a shared task and workshop at EMNLP 2026 focused on sample-efficient pretraining of language models using developmentally plausible, human-scale data budgets. It aims to democratize LM research by enabling university-budget experiments that mimic child language acquisition, with updated datasets and a new MultiLingual track emphasizing English, Dutch, and Chinese.
Full paper
July 21, 2026
AoE
Conference timeline
Full paperKey deadline
July 21, 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 training 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