Kang, Katie

8 publications

ICML 2025 What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning? Katie Kang, Amrith Setlur, Dibya Ghosh, Jacob Steinhardt, Claire Tomlin, Sergey Levine, Aviral Kumar

ICLR 2024 Deep Neural Networks Tend to Extrapolate Predictably Katie Kang, Amrith Setlur, Claire Tomlin, Sergey Levine

ICMLW 2024 Unfamiliar Finetuning Examples Control How Language Models Hallucinate Katie Kang, Eric Wallace, Claire Tomlin, Aviral Kumar, Sergey Levine

ICMLW 2024 Unfamiliar Finetuning Examples Control How Language Models Hallucinate Katie Kang, Eric Wallace, Claire Tomlin, Aviral Kumar, Sergey Levine

ICMLW 2024 Unfamiliar Finetuning Examples Control How Language Models Hallucinate Katie Kang, Eric Wallace, Claire Tomlin, Aviral Kumar, Sergey Levine

L4DC 2023 Multi-Task Imitation Learning for Linear Dynamical Systems Thomas T. Zhang, Katie Kang, Bruce D Lee, Claire Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni

ICML 2022 Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control Katie Kang, Paula Gradu, Jason J Choi, Michael Janner, Claire Tomlin, Sergey Levine

CoRL 2021 Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots Katie Kang, Gregory Kahn, Sergey Levine