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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and . (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.

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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.Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation., , , , and . CoRR, (2022)Dynamic Masking Rate Schedules for MLM Pretraining., , , , and . EACL (2), page 477-487. Association for Computational Linguistics, (2024)Towards falsifiable interpretability research., and . CoRR, (2020)Dynamic Masking Rate Schedules for MLM Pretraining., , , , and . CoRR, (2023)Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs., , , , and . CoRR, (2023)Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs., and . ICLR, OpenReview.net, (2021)Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs., and . CoRR, (2020)Knowledge Distillation for Efficient Sequences of Training Runs., , , , , and . CoRR, (2023)ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 2286-2296. PMLR, (2021)