Wong, Justin

7 publications

NeurIPS 2025 SimpleStrat: Diversifying Language Model Generation with Stratification Justin Wong, Yury Orlovskiy, Alexander Shypula, Michael Luo, Sanjit A. Seshia, Joseph E. Gonzalez

NeurIPS 2025 WorldModelBench: Judging Video Generation Models as World Models Dacheng Li, Yunhao Fang, Yukang Chen, Shuo Yang, Shiyi Cao, Justin Wong, Michael Luo, Xiaolong Wang, Hongxu Yin, Joseph E. Gonzalez, Ion Stoica, Song Han, Yao Lu

NeurIPS 2024 Stylus: Automatic Adapter Selection for Diffusion Models Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, Joseph E. Gonzalez, Zhifeng Chen, Ruslan Salakhutdinov, Ion Stoica

NeurIPS 2024 Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages Federico Mora, Justin Wong, Haley Lepe, Sahil Bhatia, Karim Elmaaroufi, George Varghese, Joseph E. González, Elizabeth Polgreen, Sanjit A. Seshia

ICML 2023 The Wisdom of Hindsight Makes Language Models Better Instruction Followers Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez

ECCV 2022 Context-Aware Streaming Perception in Dynamic Environments Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica

ICLR 2020 CLN2INV: Learning Loop Invariants with Continuous Logic Networks Gabriel Ryan, Justin Wong, Jianan Yao, Ronghui Gu, Suman Jana