Challenge Submission
Submission of models and results for the BabyLM Challenge tracks, requiring a HuggingFace model link and results assembled via the evaluation pipeline script.
EMNLP 2026 Workshop: BabyLM
BabyLM 2026 is a shared task and workshop co-located with EMNLP 2026 that focuses on sample-efficient language model pretraining using developmentally plausible, human-scale data budgets. It aims to democratize LM research by enabling university-scale experiments and advancing cognitive modeling through constrained training environments inspired by child language acquisition.
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 for the BabyLM Challenge tracks, requiring a HuggingFace model link and results assembled via the evaluation pipeline script.
Paper submissions (4-8 pages using CoNLL template) with a hyperparameter form, for non-challenge research related to sample-efficient pretraining.
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