🔗 Who cites «What Artificial Neural Networks Can Tell Us About Human Language Acquisition»

72 papers of our library cite it (of the 140,884 whose bibliographies we read) · 9 with a page here, the most cited first · ← the paper

1. Prompting is not a substitute for probability measurements in large language modelsJennifer Hu, Roger Levy2023 · 133 citations
2. Language acquisition: do children and language models follow similar learning stages?Linnea Evanson, Yair Lakretz, Jean-Rémi King2023 · 33 citations
3. How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speechAditya Yedetore, Tal Linzen, Robert Frank, et al.2023 · 27 citations
4. Is Child-Directed Speech Effective Training Data for Language Models?Steven Y. Feng, Noah D. Goodman, Michael C. Frank2024 · 16 citations
5. Child-Directed Language Does Not Consistently Boost Syntax Learning in Language ModelsFrancesca Padovani, Jaap Jumelet, Yevgen Matusevych, et al.2025 · 9 citations
6. Acquiring Linguistic Knowledge from Multimodal InputTheodor Amariucai, Alexander Scott Warstadt2023 · 6 citations
7. Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus ConstructionsWesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.2026 · 1 citation
8. CAIT: A Syntactic Parsing Toolkit for Child–Adult InTeractionsFrancesca Padovani, Xiulin Yang, Bastian Bunzeck, et al.2026
9. Is Cross-Lingual Transfer in Bilingual Models Human-Like? A Study with Overlapping Word Forms in Dutch and EnglishIza Škrjanec, Irene Elisabeth Winther, Vera Demberg, et al.2026

63 more papers of our library cite it; they have no page here yet.

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