LIV: Language-Image Representations and Rewards for Robotic Control. - Yecheng Jason Ma; William Liang; Vaidehi Som; Vikash Kumar; Amy Zhang 001; Osbert Bastani; Dinesh Jayaraman (CoRR, 2023)

Environment Curriculum Generation via Large Language Models. - William Liang; Sam Wang; Hung-Ju Wang; Osbert Bastani; Dinesh Jayaraman; Yecheng Jason Ma (CoRL, 2024)

Eureka: Human-Level Reward Design via Coding Large Language Models. - Yecheng Jason Ma; William Liang; Guanzhi Wang; De-An Huang; Osbert Bastani; Dinesh Jayaraman; Yuke Zhu; Linxi Fan; Anima Anandkumar (ICLR, 2024)

DrEureka: Language Model Guided Sim-To-Real Transfer. - Yecheng Jason Ma; William Liang; Hung-Ju Wang; Yuke Zhu; Linxi Fan; Osbert Bastani; Dinesh Jayaraman (Robotics: Science and Systems, 2024)

DrEureka: Language Model Guided Sim-To-Real Transfer. - Yecheng Jason Ma; William Liang; Hung-Ju Wang; Sam Wang; Yuke Zhu; Linxi Fan; Osbert Bastani; Dinesh Jayaraman (CoRR, 2024)

Eurekaverse: Environment Curriculum Generation via Large Language Models. - William Liang; Sam Wang; Hung-Ju Wang; Osbert Bastani; Dinesh Jayaraman; Yecheng Jason Ma (CoRR, 2024)

Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model. - Long Le; Jason Xie; William Liang; Hung-Ju Wang; Yue Yang; Yecheng Jason Ma; Kyle Vedder; Arjun Krishna; Dinesh Jayaraman; Eric Eaton (ICLR, 2025)

Using Synthetic Gaussian Noise to Explore Stochastic Resonance in Cancer Subtype Classification. - William Liang (IEEE Access, 2025)