Liu, Dayiheng

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

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

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

OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks

Yuan, M., Zhou, Z., Xiong, X., Wu, W., Sun, J., Song, J., Cui, K., Wang, B., Wu, H., Li, Y., et al. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 79

Qwen2.5-Coder Technical Report

Hui, B., Yang, J., Cui, Z., Yang, J., Liu, D., Zhang, L., Liu, T., Zhang, J., Yu, B., Lu, K., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 65

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

Qwen3-VL Technical Report

Bai, S., Cai, Y., Chen, R., Chen, K., Chen, X., Cheng, Z., Deng, L., Ding, W., Gao, C., Ge, C., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 27

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Qiu, Z., Wang, Z., Zheng, B., Huang, Z., Wen, K., Yang, S., Men, R., Yu, L., Huang, F., Huang, S., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 26

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Yang, A., Zhang, B., Hui, B., Gao, B., Yu, B., Li, C., Liu, D., Tu, J., Zhou, J., Lin, J., et al. (2024) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

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Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models

Qiu, Z., Huang, Z., Zheng, B., Wen, K., Wang, Z., Men, R., Titov, I., Liu, D., Zhou, J., & Lin, J. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 10

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Quan, S., Yang, J., Yu, B., Zheng, B., Liu, D., Yang, A., Ren, X., Gao, B., Miao, Y., Feng, Y., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

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How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Dong, G., Yuan, H., Lu, K., Li, C., Xue, M., Liu, D., Wang, W., Yuan, Z., Zhou, C., & Zhou, J. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

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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

Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models

Qiu, Z., Huang, Z., Zheng, B., Wen, K., Wang, Z., Men, R., Titov, I., Liu, D., Zhou, J., & Lin, J. (2025) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 0