BabyLM Turns 4 and Goes Multilingual: Call for Papers for the 2026 BabyLM Workshop
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. This year, we move beyond our previous English-only pretraining datasets with a new Multilingual track, focusing on English, Dutch, and Chinese. For the workshop, we call for papers related to the overall theme of BabyLM, which includes training effic...
| Authors | Leshem Choshen, Ryan Cotterell, Mustafa Omer Gul et al. |
|---|---|
| Primary category | cs.CL |
| Published | 23 February 2026 |
| Last updated at source | 24 February 2026 |
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