Dang, Kai
8 papers on CoChat
Most cited papers
- Verified
Qwen3 Technical Report
Yang, A., Li, A., Yang, B., Zhang, B., Hui, B., Zheng, B., Yu, B., Gao, C., Huang, C., Lv, C., et al. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 17,283
- Verified
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
- Verified
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
- Verified
Qwen2.5 Technical Report
Qwen, :, Yang, A., Yang, B., Zhang, B., Hui, B., Zheng, B., Yu, B., Li, C., Liu, D., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 128
- Verified
Qwen2.5-VL Technical Report
Bai, S., Chen, K., Liu, X., Wang, J., Ge, W., Song, S., Dang, K., Wang, P., Wang, S., Tang, J., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 94
- Verified
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
- Verified
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Wang, S., Yu, L., Gao, C., Zheng, C., Liu, S., Lu, R., Dang, K., Chen, X., Yang, J., Zhang, Z., et al. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 14
- Verified
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
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free