BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop
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| Format: | Preprint |
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2025
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| author | Charpentier, Lucas Choshen, Leshem Cotterell, Ryan Gul, Mustafa Omer Hu, Michael Jumelet, Jaap Linzen, Tal Liu, Jing Mueller, Aaron Ross, Candace Shah, Raj Sanjay Warstadt, Alex Wilcox, Ethan Williams, Adina |
| author_facet | Charpentier, Lucas Choshen, Leshem Cotterell, Ryan Gul, Mustafa Omer Hu, Michael Jumelet, Jaap Linzen, Tal Liu, Jing Mueller, Aaron Ross, Candace Shah, Raj Sanjay Warstadt, Alex Wilcox, Ethan Williams, Adina |
| contents | BabyLM aims to dissolve the boundaries between cognitive modeling and language modeling. We call for both workshop papers and for researchers to join the 3rd BabyLM competition. As in previous years, we call for participants in the data-efficient pretraining challenge in the general track. This year, we also offer a new track: INTERACTION. This new track encourages interactive behavior, learning from a teacher, and adapting the teaching material to the student. We also call for papers outside the competition in any relevant areas. These include training efficiency, cognitively plausible research, weak model evaluation, and more. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_10645 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop Charpentier, Lucas Choshen, Leshem Cotterell, Ryan Gul, Mustafa Omer Hu, Michael Jumelet, Jaap Linzen, Tal Liu, Jing Mueller, Aaron Ross, Candace Shah, Raj Sanjay Warstadt, Alex Wilcox, Ethan Williams, Adina Computation and Language BabyLM aims to dissolve the boundaries between cognitive modeling and language modeling. We call for both workshop papers and for researchers to join the 3rd BabyLM competition. As in previous years, we call for participants in the data-efficient pretraining challenge in the general track. This year, we also offer a new track: INTERACTION. This new track encourages interactive behavior, learning from a teacher, and adapting the teaching material to the student. We also call for papers outside the competition in any relevant areas. These include training efficiency, cognitively plausible research, weak model evaluation, and more. |
| title | BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2502.10645 |