🔗 Who cites «Wan: Open and Advanced Large-Scale Video Generative Models»

246 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · ← back to «Wan: Open and Advanced Large-Scale Video Generative Models»

1. Self Forcing: Bridging the Train-Test Gap in Autoregressive Video DiffusionConference on Neural Information Processing Systems (NeurIPS)Xun Huang, Zhengqi Li, Guande He, et al.2025 · 146 citations
2. Qwen-Image Technical ReportarXiv:2508.02324Chenfei Wu, Jiahao Li, Jingren Zhou, et al.2025 · 92 citations
3. ERNIE 5.0 Technical ReportarXiv:2602.04705Haifeng Wang, Hua Wu, Tian Wu, et al.2026 · 7 citations
4. DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal GenerationarXiv:2510.14949Yu Zhou, Sohyun An, Haikang Deng, et al.2025 · 3 citations
5. Current Agents Fail to Leverage World Model as Tool for ForesightAnnual Meeting of the Association for Computational Linguistics (ACL)Cheng Qian, Emre Can Acikgoz, Bingxuan Li, et al.2026 · 1 citation
6. MAViS: A Multi-Agent Framework for Long-Sequence Video StorytellingConference of the European Chapter of the Association for Computational Linguistics (EACL)Qian Wang, Ziqi Huang, Ruoxi Jia, et al.2026 · 1 citation
7. MSVBench: Towards Human-Level Evaluation of Multi-Shot Video GenerationFindings of the Association for Computational LinguisticsHaoyuan Shi, Yunxin li, Nanhao Deng, et al.2026
8. SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for Complex-Scenario Text-to-Video GenerationFindings of the Association for Computational LinguisticsChengyi Yang, Pengzhen Li, Jiayin Qi, et al.2026
9. Towards Unified Multimodal Large Language Models: A surveyFindings of the Association for Computational LinguisticsXu Ma, Yitian Zhang, Yun Fu2026

237 more papers of our library cite it; they have no page here yet.

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