Papers by Xueyang Huang

1 papers
Mind the Gap: How BabyLMs Learn Filler-Gap Dependencies (2025.emnlp-main)

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Challenge: a long-standing debate concerns whether the linguistic input children receive is sufficient to explain the grammatical knowledge they develop.
Approach: They evaluate baby language models trained on child-oriented input from the BabyLM Challenge and two base models trained in 10M and 100M tokens.
Outcome: The proposed models acquire filler-gap dependencies but fail to generalize or fully capture island constraints.

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