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Researcher profile

Daniel M. Ziegler

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Fine-Tuning Language Models from Human Preferences

    2019 · arXiv (Cornell University)

    Reward learning enables the application of reinforcement learning (RL) to tasks where reward is defined by human judgment, building a model of reward by asking humans questions. Most work on reward learning has used simulated …

  2. Language Models are Few-Shot Learners

    2020 · arXiv (Cornell University)

    Recent work has demonstrated substantial gains on many NLP tasks and benchmarks by pre-training on a large corpus of text followed by fine-tuning on a specific task. While typically task-agnostic in architecture, this method still …