pith. sign in

arxiv: 2502.10645 · v2 · pith:V2J3AHPMnew · submitted 2025-02-15 · 💻 cs.CL

BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop

Lucas Charpentier , Leshem Choshen , Ryan Cotterell , Mustafa Omer Gul , Michael Hu , Jaap Jumelet , Tal Linzen , Jing Liu
show 6 more authors
Aaron Mueller Candace Ross Raj Sanjay Shah Alex Warstadt Ethan Wilcox Adina Williams
This is my paper
classification 💻 cs.CL
keywords babylmcalltrackcompetitionmodelingworkshopadaptingaims
0
0 comments X
read the original abstract

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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Child-directed speech facilitates production, not comprehension, in BabyLMs

    cs.CL 2026-05 unverdicted novelty 6.0

    CDS-trained BabyLMs show earlier and more appropriate production in a new frame-completion task while FineWeb-edu models lead on comprehension benchmarks, indicating current tests underestimate CDS benefits.