| Toward interpretable deep reinforcement learning with linear model u-trees G Liu, O Schulte, W Zhu, Q Li Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 205 | 2018 |
| Babywalk: Going farther in vision-and-language navigation by taking baby steps W Zhu, H Hu, J Chen, Z Deng, V Jain, E Ie, F Sha The 58th Annual Meeting of the Association for Computational Linguistics …, 2020 | 96 | 2020 |
| Iterative Vision-and-Language Navigation J Krantz, S Banerjee, W Zhu, JJ Corso, P Anderson, S Lee, J Thomason IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 2022 | 39 | 2022 |
| Mega-bench: Scaling multimodal evaluation to over 500 real-world tasks J Chen, T Liang, S Siu, Z Wang, K Wang, Y Wang, Y Ni, W Zhu, Z Jiang, ... arXiv preprint arXiv:2410.10563, 2024 | 26 | 2024 |
| Think or not think: A study of explicit thinking in rule-based visual reinforcement fine-tuning M Li, J Zhong, S Zhao, Y Lai, H Zhang, WB Zhu, K Zhang arXiv preprint arXiv:2503.16188, 2025 | 22 | 2025 |
| Tldr: Token-level detective reward model for large vision language models D Fu, T Xiao, R Wang, W Zhu, P Zhang, G Pang, R Jia, L Chen arXiv preprint arXiv:2410.04734, 2024 | 13 | 2024 |
| Chain-of-questions training with latent answers for robust multistep question answering W Zhu, J Thomason, R Jia The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 | 12 | 2023 |
| Interpreting deep sports analytics: Valuing actions and players in the NHL G Liu, W Zhu, O Schulte International Workshop on Machine Learning and Data Mining for Sports …, 2018 | 11 | 2018 |
| Language Models can Infer Action Semantics for Symbolic Planners from Environment Feedback W Zhu, I Singh, R Jia, J Thomason arXiv preprint arXiv:2406.02791, 2024 | 10 | 2024 |
| Zebra-cot: A dataset for interleaved vision language reasoning A Li, C Wang, D Fu, K Yue, Z Cai, WB Zhu, O Liu, P Guo, W Neiswanger, ... arXiv preprint arXiv:2507.16746, 2025 | 9 | 2025 |
| Efficient End-to-End Visual Document Understanding with Rationale Distillation W Zhu, A Agarwal, M Joshi, R Jia, J Thomason, K Toutanova The 2024 Conference of the North American Chapter of the Association for …, 2023 | 8 | 2023 |
| Learning to generalize compositionally by transferring across semantic parsing tasks W Zhu, P Shaw, T Linzen, F Sha arXiv preprint arXiv:2111.05013, 2021 | 7 | 2021 |
| Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems W Zhu, J Thomason, R Jia Findings of EMNLP 2022, 2022 | 5 | 2022 |
| Does VLN Pretraining Work with Nonsensical or Irrelevant Instructions? W Zhu, I Singh, Y Huang, R Jia, J Thomason Open-Domain Reasoning Under Multi-Modal Settings @ CVPR 2023, 2023 | 3 | 2023 |
| Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning Y Liu, W Zhu, S Ren NeurIPS 2022, 2022 | 3 | 2022 |
| Contextleak: Auditing leakage in private in-context learning methods J Choi, S Cao, X Dong, WB Zhu, R Jia, SP Karimireddy arXiv preprint arXiv:2512.16059, 2025 | 2 | 2025 |
| Zero-Shot Iterative Formalization and Planning in Partially Observable Environments L Gong, W Zhu, J Thomason, L Zhang arXiv preprint arXiv:2505.13126, 2025 | 1 | 2025 |
| PSALM-V: Automating Symbolic Planning in Interactive Visual Environments with Large Language Models WB Zhu, M Chai, I Singh, R Jia, J Thomason arXiv preprint arXiv:2506.20097, 2025 | | 2025 |
| Cancer-Myth: Evaluating AI Chatbot on Patient Questions with False Presuppositions WB Zhu, T Chen, CY Lin, J Law, M Jizzini, JJ Nieva, R Liu, R Jia arXiv preprint arXiv:2504.11373, 2025 | | 2025 |
| VisualLens: Personalization through Task-Agnostic Visual History WB Zhu, D Fu, K Sun, Y Lu, Z Lin, S Moon, K Narang, M Canim, Y Liu, ... The Thirty-ninth Annual Conference on Neural Information Processing Systems, 0 | | |
Jesse ThomasonAssistant Professor, University of Southern CaliforniaVerified email at usc.edu
