Wang Zhu

According to our database, Wang Zhu authored at least 19 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning.

Ang Li, Charles Wang, Kaiyu Yue, Zikui Cai, Ollie Liu, Deqing Fu, Peng Guo, Wang Bill Zhu, Vatsal Sharan, Robin Jia, Willie Neiswanger, Furong Huang, Tom Goldstein, Micah Goldblum

CoRR, July, 2025

PSALM-V: Automating Symbolic Planning in Interactive Visual Environments with Large Language Models.

Wang Bill Zhu, Miaosen Chai, Ishika Singh, Robin Jia, Jesse Thomason

CoRR, June, 2025

Zero-Shot Iterative Formalization and Planning in Partially Observable Environments.

Liancheng Gong, Wang Zhu, Jesse Thomason, Li Zhang

CoRR, May, 2025

Cancer-Myth: Evaluating AI Chatbot on Patient Questions with False Presuppositions.

Wang Bill Zhu, Tianqi Chen, Ching Ying Lin, Jade Law, Mazen Jizzini, Jorge J. Nieva, Ruishan Liu, Robin Jia

CoRR, April, 2025

Language Models Can Infer Action Semantics for Symbolic Planners from Environment Feedback.

Wang Bill Zhu, Ishika Singh, Robin Jia, Jesse Thomason

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

TLDR: Token-Level Detective Reward Model for Large Vision Language Models.

Deqing Fu, Tong Xiao, Rui Wang, Wang Zhu, Pengchuan Zhang, Guan Pang, Robin Jia, Lawrence Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks.

Jiacheng Chen, Tianhao Liang, Sherman Siu, Zhengqing Wang, Kai Wang, Yubo Wang, Yuansheng Ni, Ziyan Jiang, Wang Zhu, Bohan Lyu, Dongfu Jiang, Xuan He, Yuan Liu, Hexiang Hu, Xiang Yue, Wenhu Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

VisualLens: Personalization through Visual History.

Wang Bill Zhu, Deqing Fu, Kai Sun, Yi Lu, Zhaojiang Lin, Seungwhan Moon, Kanika Narang, Mustafa Canim, Yue Liu, Anuj Kumar, Xin Luna Dong

CoRR, 2024

Language Models can Infer Action Semantics for Classical Planners from Environment Feedback.

Wang Zhu, Ishika Singh, Robin Jia, Jesse Thomason

CoRR, 2024

Efficient End-to-End Visual Document Understanding with Rationale Distillation.

Wang Zhu, Alekh Agarwal, Mandar Joshi, Robin Jia, Jesse Thomason, Kristina Toutanova

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Does VLN Pretraining Work with Nonsensical or Irrelevant Instructions?

Wang Zhu, Ishika Singh, Yuan Huang, Robin Jia, Jesse Thomason

CoRR, 2023

Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering.

Wang Zhu, Jesse Thomason, Robin Jia

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Iterative Vision-and-Language Navigation.

Jacob Krantz, Shurjo Banerjee, Wang Zhu, Jason J. Corso, Peter Anderson, Stefan Lee, Jesse Thomason

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning.

Yejia Liu, Wang Zhu, Shaolei Ren

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems.

Wang Zhu, Jesse Thomason, Robin Jia

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks.

Wang Zhu, Peter Shaw, Tal Linzen, Fei Sha

CoRR, 2021

2020

BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps.

Wang Zhu, Hexiang Hu, Jiacheng Chen, Zhiwei Deng, Vihan Jain, Eugene Ie, Fei Sha

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018

Interpreting Deep Sports Analytics: Valuing Actions and Players in the NHL.

Guiliang Liu, Wang Zhu, Oliver Schulte

Proceedings of the 5th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2018), 2018

Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees.

Guiliang Liu, Oliver Schulte, Wang Zhu, Qingcan Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018