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Understanding the capabilities, limitations, and societal impact of large language models

, , , and . arXiv:2102.02503 cs, (February 2021)arXiv: 2102.02503.

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Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models., , , , , , , , , and 4 other author(s). CoRR, (2024)Collective Constitutional AI: Aligning a Language Model with Public Input., , , , , , and . CoRR, (2024)Drone.io: A Gestural and Visual Interface for Human-Drone Interaction., , , , , , and . HRI, page 153-162. IEEE, (2019)Multispectral Contrastive Learning with Viewmaker Networks., , and . CVPR Workshops, page 440-448. IEEE, (2023)Viewmaker Networks: Learning Views for Unsupervised Representation Learning., , and . ICLR, OpenReview.net, (2021)DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision., , , , , and . NeurIPS, (2022)Task Ambiguity in Humans and Language Models., , , and . ICLR, OpenReview.net, (2023)Social Contract AI: Aligning AI Assistants with Implicit Group Norms., , , , , , , , and . CoRR, (2023)Codebook Features: Sparse and Discrete Interpretability for Neural Networks., , and . CoRR, (2023)Multispectral Self-Supervised Learning with Viewmaker Networks., , and . CoRR, (2023)