Pre-pretraining on MP-STRUCT matches k-Shuffle Dyck baselines in efficiency while adding human-like resistance to implausible languages and challenges the need for C-RASP definability in effective PPT languages.
Hu, Jackson Petty, Chuan Shi, William Merrill, and Tal Linzen
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Brain Score remains similar when language models are trained on diverse natural languages or on structured non-language data like DNA and code, indicating the metric tracks shared structural extraction but is not diagnostic of human-like language processing.
citing papers explorer
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Language Acquisition Device in Large Language Models
Pre-pretraining on MP-STRUCT matches k-Shuffle Dyck baselines in efficiency while adding human-like resistance to implausible languages and challenges the need for C-RASP definability in effective PPT languages.
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Brain Score Tracks Shared Properties of Languages: Evidence from Many Natural Languages and Structured Sequences
Brain Score remains similar when language models are trained on diverse natural languages or on structured non-language data like DNA and code, indicating the metric tracks shared structural extraction but is not diagnostic of human-like language processing.