Tong, Shengbang

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

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

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

Yue, X., Zheng, T., Ni, Y., Wang, Y., Zhang, K., Tong, S., Sun, Y., Yu, B., Zhang, G., Sun, H., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 4

From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models

Fang, I., Zhang, J., Tong, S., & Feng, C. (2025) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 0