Zhai, Yuexiang

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs

Tong, S., Liu, Z., Zhai, Y., Ma, Y., LeCun, Y., & Xie, S. (2024) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 190

Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs

Tong, S., Liu, Z., Zhai, Y., Ma, Y., LeCun, Y., & Xie, S. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 189

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Investigating the Catastrophic Forgetting in Multimodal Large Language Models

Zhai, Y., Tong, S., Li, X., Cai, M., Qu, Q., Lee, Y. J., & Ma, Y. (2023) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 24

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

Chu, T., Zhai, Y., Yang, J., Tong, S., Xie, S., Schuurmans, D., Le, Q. V., Levine, S., & Ma, Y. (2025) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 7