5 papers
LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure
Fanfei Li, Jana Zeller, Manuel Prada-Corral +4
Modern language models are trained on heterogeneous web-scale text corpora. Consequently, studying knowledge and skill acquisition is difficult, as prior exposure to related conten…
BabyLM Turns 4 and Goes Multilingual: Call for Papers for the 2026 BabyLM Workshop
Leshem Choshen, Ryan Cotterell, Mustafa Omer Gul +7
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 Worksh…
Towards Developmentally Plausible Rewards: Communicative Success as a Learning Signal for Interactive Language Models
Lennart Stöpler, Rufat Asadli, Mitja Nikolaus +2
We propose a method for training language models in an interactive setting inspired by child language acquisition. In our setting, a speaker attempts to communicate some informatio…
Can Language Models Learn Typologically Implausible Languages?
Tianyang Xu, Tatsuki Kuribayashi, Yohei Oseki +2
Grammatical features across human languages show intriguing correlations often attributed to learning biases in humans. However, empirical evidence has been limited to experiments…
A Distributional Perspective on Word Learning in Neural Language Models
Filippo Ficarra, Ryan Cotterell, Alex Warstadt
Language models (LMs) are increasingly being studied as models of human language learners. Due to the nascency of the field, it is not well-established whether LMs exhibit similar…