Nathan Lambert

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Ethics and Social Impacts of AI

Most-Cited Works

• → Toward Controlled Flight of the Ionocraft: A Flying Microrobot Using Electrohydrodynamic Thrust With Onboard Sensing and No Moving Parts(2018)73 cited
• → Zephyr: Direct Distillation of LM Alignment(2023)53 cited
• → OLMo: Accelerating the Science of Language Models(2024)46 cited
• → Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning(2020)42 cited
• → Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research(2024)35 cited
• → On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning(2021)32 cited
• → Young people’s views about their involvement in decision‐making(2010)31 cited
• → Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models(2025)23 cited
• → Reward Reports for Reinforcement Learning(2023)23 cited
• → Objective Mismatch in Model-based Reinforcement Learning(2020)21 cited