Lin, Junyang

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

CogView: Mastering Text-to-Image Generation via Transformers

Ding, M., Yang, Z., Hong, W., Zheng, W., Zhou, C., Yin, D., Lin, J., Zou, X., Shao, Z., Yang, H., et al. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 450

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

Qwen2.5 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

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

Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs

Yang, Z., Zhang, Y., Wang, Y., Xu, Z., Lin, J., & Sui, Z. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

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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

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

Cited by 14

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

Cited by 5

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

Qwen3-ASR Technical Report

Shi, X., Wang, X., Guo, Z., Wang, Y., Zhang, P., Zhang, X., Guo, Z., Hao, H., Xi, Y., Yang, B., et al. (2026) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 1

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

Beyond Turn Limits: Training Deep Search Agents with Dynamic Context Window

Tang, Q., Xiang, H., Yu, L., Yu, B., Lu, Y., Han, X., Sun, L., Zhang, W., Wang, P., Liu, S., et al. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

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Understanding DeepResearch via Reports

Fan, T., Niu, X., Zheng, Y., Zhang, F., Huang, C., Chen, B., Lin, J., & Huang, C. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

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