Zhou, Jingren
30 papers on CoChatORCID 0000-0002-4220-2634
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
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
Gao, D., Wang, H., Li, Y., Sun, X., Qian, Y., Ding, B., & Zhou, J. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 485
- Verified
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
Gao, D., Wang, H., Li, Y., Sun, X., Qian, Y., Ding, B., & Zhou, J. (2024) · Proceedings of the VLDB Endowment
Topic ModelingNatural Language Processing Techniques
Cited by 342
- 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 · note
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
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Notice of Removal: VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
Luo, Z., Chen, D., Zhang, Y., Huang, Y., Wang, L., Shen, Y., Zhao, D., Zhou, J., & Tan, T. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Generative Adversarial Networks and Image SynthesisImage and Signal Denoising Methods
Cited by 144
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FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
Kuang, W., Qian, B., Li, Z., Chen, D., Gao, D., Pan, X., Xie, Y., Li, Y., Ding, B., & Zhou, J. (2024) · Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Privacy-Preserving Technologies in DataTopic Modeling
Cited by 142
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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
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CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility
Xu, G., Liu, J., Yan, M., Xu, H., Si, J., Zhou, Z., Yi, P., Gao, X., Sang, J., Zhang, R., et al. (2023) · arXiv
Ethics and Social Impacts of AITopic Modeling
Cited by 107
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AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator
Fan, Z., Tang, J., Chen, W., Wang, S., Wei, Z., Xi, J., Huang, F., & Zhou, J. (2024) · arXiv
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 84
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FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Xie, Y., Wang, Z., Gao, D., Chen, D., Yao, L., Kuang, W., Li, Y., Ding, B., & Zhou, J. (2023) · Proceedings of the VLDB Endowment
Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques
Cited by 84
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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
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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
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Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Chu, Y., Xu, J., Zhou, X., Yang, Q., Zhang, S., Yan, Z., Zhou, C., & Zhou, J. (2023) · arXiv
Music and Audio ProcessingSpeech Recognition and Synthesis
Cited by 61
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M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems
Cui, Z., Ma, J., Zhou, C., Zhou, J., & Yang, H. (2022) · arXiv
Recommender Systems and TechniquesInformation Retrieval and Search Behavior
Cited by 27
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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
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I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
Zhang, S., Wang, J., Zhang, Y., Zhao, K., Yuan, H., Qin, Z., Wang, X., Zhao, D., & Zhou, J. (2023) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 22
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FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data
Xie, Y., Wang, Z., Li, Y., Ding, B., Gürel, N. M., Zhang, C., Huang, M., Lin, W., & Zhou, J. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
Recommender Systems and TechniquesAdvanced Graph Neural Networks
Cited by 18
- Verified
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
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AgentScope: A Flexible yet Robust Multi-Agent Platform
Gao, D., Li, Z., Pan, X., Kuang, W., Ma, Z., Qian, B., Wei, F., Zhang, W., Xie, Y., Chen, D., et al. (2024) · arXiv
Multi-Agent Systems and NegotiationArtificial Intelligence Applications
Cited by 11
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A Survey on Self-Evolution of Large Language Models
Tao, Z., Lin, T.-E., Chen, X., Li, H., Wu, Y., Li, Y., Jin, Z., Huang, F., Tao, D., & Zhou, J. (2024) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 9
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CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models
Du, Z., Wang, Y., Chen, Q., Shi, X., Lv, X., Zhao, T., Gao, Z., Yang, Y., Gao, C., Wang, H., et al. (2024) · arXiv
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 5
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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
Cited by 5
- Verified
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
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