Christopher Hesse
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Reinforcement Learning in Robotics, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications
Most-Cited Works
- → Language Models are Few-Shot Learners(2020)3,027 cited
- → Evaluating Large Language Models Trained on Code(2021)1,403 cited
- → Leveraging Procedural Generation to Benchmark Reinforcement Learning(2019)171 cited
- → Scaling Laws for Autoregressive Generative Modeling(2020)149 cited
- → GPT-4o System Card(2024)99 cited
- → Gotta Learn Fast: A New Benchmark for Generalization in RL(2018)85 cited
- → WebGPT: Browser-assisted question-answering with human feedback(2021)33 cited
- → OpenAI o1 System Card(2024)33 cited
- → Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)(2022)15 cited
- → Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark(2021)6 cited