| 2025 | ICML | What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning? | Katie Kang, Amrith Setlur, Dibya Ghosh, Jacob Steinhardt, Claire J. Tomlin, Sergey Levine, Aviral Kumar |
| 2025 | NAACL | Unfamiliar Finetuning Examples Control How Language Models Hallucinate. | Katie Kang, Eric Wallace, Claire J. Tomlin, Aviral Kumar, Sergey Levine |
| 2024 | ICLR | Deep Neural Networks Tend To Extrapolate Predictably. | Katie Kang, Amrith Setlur, Claire J. Tomlin, Sergey Levine |
| 2022 | ICML | Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control. | Katie Kang, Paula Gradu, Jason J. Choi, Michael Janner, Claire J. Tomlin, Sergey Levine |
| 2021 | CoRL | Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots. | Katie Kang, Gregory Kahn, Sergey Levine |
| 2019 | ICRA | Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight. | Katie Kang, Suneel Belkhale, Gregory Kahn, Pieter Abbeel, Sergey Levine |