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 Training language models to follow instructions with human feedbackNeural Information Processing Systems (NeurIPS), 2022 |
 Toward AI Assistants That Let Designers DesignThe AI Magazine (AI Mag.), 2021 |
 Learning to summarize from human feedbackNeural Information Processing Systems (NeurIPS), 2020 |
 Language Models are Few-Shot LearnersNeural Information Processing Systems (NeurIPS), 2020 |
 Reward-Free Exploration for Reinforcement LearningInternational Conference on Machine Learning (ICML), 2020 |
 On the Utility of Learning about Humans for Human-AI CoordinationNeural Information Processing Systems (NeurIPS), 2019 |
 Minimax Rates and Efficient Algorithms for Noisy SortingInternational Conference on Algorithmic Learning Theory (ALT), 2017 |
 Deep reinforcement learning from human preferencesNeural Information Processing Systems (NeurIPS), 2017 |
 Cooperative Inverse Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2016 |
