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Multitask Prompted Training Enables Zero-Shot Task Generalization., , , , , , , , , и 30 other автор(ы). ICLR, OpenReview.net, (2022)Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision., , , , , , , , , и 2 other автор(ы). CoRR, (2023)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , и 440 other автор(ы). Trans. Mach. Learn. Res., (2023)Design and Analysis of a Collaborative Story Generation Game for Social Robots., , , и . Frontiers Comput. Sci., (2021)Collaborative Storytelling with Social Robots., , , и . IROS, стр. 1903-1910. IEEE, (2021)Multitask Prompted Training Enables Zero-Shot Task Generalization, , , , , , , , , и 30 other автор(ы). International Conference on Learning Representations, (2022)Lessons from the Trenches on Reproducible Evaluation of Language Models., , , , , , , , , и 20 other автор(ы). CoRR, (2024)An Empirical Exploration in Quality Filtering of Text Data.. CoRR, (2021)Collaborative Storytelling with Large-scale Neural Language Models., , и . CoRR, (2020)Scaling Laws for Reward Model Overoptimization., , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 10835-10866. PMLR, (2023)