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Quantifying the redundancy between prosody and text.

, , , , , , and . EMNLP, page 9765-9784. Association for Computational Linguistics, (2023)

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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)Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually)., , , , and . EMNLP (1), page 217-235. Association for Computational Linguistics, (2020)When Do You Need Billions of Words of Pretraining Data?, , , and . ACL/IJCNLP (1), page 1112-1125. Association for Computational Linguistics, (2021)BLiMP: The Benchmark of Linguistic Minimal Pairs for English., , , , , , and . Trans. Assoc. Comput. Linguistics, (2020)Reconstruction Probing., , , and . ACL (Findings), page 8240-8255. Association for Computational Linguistics, (2023)What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?, , , , , and . ACL/IJCNLP (1), page 1221-1235. Association for Computational Linguistics, (2021)Can neural networks acquire a structural bias from raw linguistic data?, and . CogSci, cognitivesciencesociety.org, (2020)BLiMP: A Benchmark of Linguistic Minimal Pairs for English., , , , , , and . CoRR, (2019)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, , , , , , , , , and 441 other author(s). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.