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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.Data augmentation in Bayesian neural networks and the cold posterior effect., , , , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1434-1444. PMLR, (2022)Deep Convolutional Networks as shallow Gaussian Processes, , and . (2018)cite arxiv:1808.05587.Exact Langevin Dynamics with Stochastic Gradients., and . CoRR, (2021)Towards Automated Circuit Discovery for Mechanistic Interpretability., , , , and . CoRR, (2023)BNNpriors: A library for Bayesian neural network inference with different prior distributions., , , and . Softw. Impacts, (2021)Bayesian Neural Network Priors Revisited., , , , , , , and . ICLR, OpenReview.net, (2022)Understanding Variational Inference in Function-Space., , , and . CoRR, (2020)Bayesian Neural Network Priors Revisited., , , , , , and . CoRR, (2021)Deep Convolutional Networks as shallow Gaussian Processes., , and . ICLR (Poster), OpenReview.net, (2019)