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Call for Papers - The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus., , , , , and . CoRR, (2023)CLiMP: A Benchmark for Chinese Language Model Evaluation., , , , and . EACL, page 2784-2790. Association for Computational Linguistics, (2021)When Do You Need Billions of Words of Pretraining Data?, , , and . ACL/IJCNLP (1), page 1112-1125. Association for Computational Linguistics, (2021)Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually)., , , , and . EMNLP (1), page 217-235. Association for Computational Linguistics, (2020)BLiMP: A Benchmark of Linguistic Minimal Pairs for English., , , , , , and . CoRR, (2019)What Artificial Neural Networks Can Tell Us About Human Language Acquisition., and . CoRR, (2022)Neural Network Acceptability Judgments., , and . CoRR, (2018)What Makes Reading Comprehension Questions Difficult?, , , and . ACL (1), page 6951-6971. Association for Computational Linguistics, (2022)Entailment Semantics Can Be Extracted from an Ideal Language Model., , and . CoNLL, page 176-193. Association for Computational Linguistics, (2022)BLiMP: The Benchmark of Linguistic Minimal Pairs for English., , , , , , and . Trans. Assoc. Comput. Linguistics, (2020)