BabyLM Turns 4 and Goes Multilingual: Call for Papers for the 2026 BabyLM Workshop

Research Summary

Contribution Summary

• The goal of the BabyLM is to stimulate new research connections between cognitive modeling and language model pretraining.
• We invite contributions in this vein to the BabyLM Workshop, which will also include the 4th iteration of the BabyLM Challenge.
• As in previous years, the challenge features two ``standard'' tracks (Strict and Strict-Small), in which participants must train language models on under 100M or 10M words of data, respectively.

Why It Matters For Eval

• For the workshop, we call for papers related to the overall theme of BabyLM, which includes training efficiency, small-scale training datasets, cognitive modeling, model evaluation, and architecture innovation.

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