Bai, Shuai

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Wang, P., Bai, S., Tan, S., Wang, S., Fan, Z., Bai, J., Chen, K., Liu, X., Wang, J., Ge, W., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 1,302

Qwen Technical Report

Bai, J., Bai, S., Chu, Y., Cui, Z., Dang, K., Deng, X., Fan, Y., Ge, W., Han, Y., Huang, F., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 332

Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Bai, J., Bai, S., Yang, S., Wang, S., Tan, S., Wang, P., Lin, J., Zhou, C., & Zhou, J. (2023) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 193

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models

Chen, L., Zhao, H., Liu, T., Bai, S., Lin, J., Zhou, C., & Chang, B. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 159

Qwen2 Technical Report

Yang, A., Yang, B., Hui, B., Zheng, B., Yu, B., Zhou, C., Li, C., Li, C., Liu, D., Huang, F., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 63

Qwen2.5-Omni Technical Report

Xu, J., Guo, Z., He, J., Hu, H., He, T., Bai, S., Chen, K., Wang, J., Fan, Y., Dang, K., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsSpeech and dialogue systems

Cited by 14

Qwen3-Omni Technical Report

Xu, J., Guo, Z., Hu, H., Chu, Y., Wang, X., He, J., Wang, Y., Shi, X., He, T., Zhu, X., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsSpeech Recognition and Synthesis

Cited by 2