Yuexiang Zhai

According to our database, Yuexiang Zhai authored at least 23 papers between 2019 and 2026.

Collaborative distances:

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

2026

Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs.

Chun-Hsiao Yeh, Chenyu Wang, Shengbang Tong, Ta Ying Cheng, Ruoyu Wang, Tianzhe Chu, Yuexiang Zhai, Yubei Chen, Shenghua Gao, Yi Ma

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

Tianzhe Chu, Yuexiang Zhai, Jihan Yang, Shengbang Tong, Saining Xie, Dale Schuurmans, Quoc V. Le, Sergey Levine, Yi Ma

Proceedings of the Forty-second International Conference on Machine Learning, 2025

LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models.

Marwa Abdulhai, Isadora White, Charlie Victor Snell, Charles Sun, Joey Hong, Yuexiang Zhai, Kelvin Xu, Sergey Levine

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?

Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Hao Bai, Yuexiang Zhai, Benjamin D. Haeffele, Yi Ma

J. Mach. Learn. Res., 2024

Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning.

Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine

CoRR, 2024

Is Offline Decision Making Possible with Only Few Samples? Reliable Decisions in Data-Starved Bandits via Trust Region Enhancement.

Ruiqi Zhang, Yuexiang Zhai, Andrea Zanette

CoRR, 2024

RLIF: Interactive Imitation Learning as Reinforcement Learning.

Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs.

Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Investigating the Catastrophic Forgetting in Multimodal Large Language Model Fine-Tuning.

Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma

Proceedings of the Conference on Parsimony and Learning, 2024

Closed-Loop Transcription via Convolutional Sparse Coding.

Xili Dai, Ke Chen, Shengbang Tong, Jingyuan Zhang, Xingjian Gao, Mingyang Li, Druv Pai, Yuexiang Zhai, Xiaojun Yuan, Heung-Yeung Shum, Lionel M. Ni, Yi Ma

Proceedings of the Conference on Parsimony and Learning, 2024

2023

Investigating the Catastrophic Forgetting in Multimodal Large Language Models.

Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma

CoRR, 2023

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning.

Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine

CoRR, 2023

Understanding the Complexity Gains of Single-Task RL with a Curriculum.

Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine

Proceedings of the International Conference on Machine Learning, 2023

2022

Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning.

Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma

J. Artif. Intell. Res., 2022

Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity.

Abhishek Gupta, Aldo Pacchiano, Yuexiang Zhai, Sham M. Kakade, Sergey Levine

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

2021

Computational Benefits of Intermediate Rewards for Hierarchical Planning.

Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma

CoRR, 2021

Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training.

Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group.

Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma

J. Mach. Learn. Res., 2020

Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness.

Yuexiang Zhai, Hermish Mehta, Zhengyuan Zhou, Yi Ma

Proceedings of the 8th International Conference on Learning Representations, 2020

Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning.

Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Analysis of the Optimization Landscapes for Overcomplete Representation Learning.

Qing Qu, Yuexiang Zhai, Xiao Li, Yuqian Zhang, Zhihui Zhu

CoRR, 2019

Complete Dictionary Learning via 𝓁⁴-Norm Maximization over the Orthogonal Group.

Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma

CoRR, 2019

Learning to Reconstruct 3D Manhattan Wireframes From a Single Image.

Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019