🔗 Who cites «Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model»

77 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · ← back to «Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model»

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. Hallucination of Multimodal Large Language Models: A SurveyarXiv:2404.18930Zechen Bai, Pichao Wang, Tianjun Xiao, et al.2024 · 120 citations
3. Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model ScalingarXiv:2501.17811Xiaokang Chen, Zhiyu Wu, Xingchao Liu, et al.2025 · 112 citations
4. Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and GenerationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionChengyue Wu, Xiaokang Chen, Zhiyu Wu, et al.2024 · 112 citations
5. JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and GenerationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionYiyang Ma, Xingchao Liu, Xiaokang Chen, et al.2024 · 52 citations
6. Personalized Generation In Large Model Era: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyan Xu, Jinghao Zhang, Alireza Salemi, et al.2025 · 24 citations
7. HunyuanImage 3.0 Technical ReportarXiv:2509.23951Tencent Hunyuan Foundation Model Team2025 · 17 citations
8. UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Fang, Ruiyan Han, XinYu Sun, et al.2026 · 11 citations
9. FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yubo Shan, Kun Zhang, Qiming Xu, et al.2026
10. Towards Unified Multimodal Large Language Models: A surveyFindings of the Association for Computational LinguisticsXu Ma, Yitian Zhang, Yun Fu2026
11. UniCM: A Unified Consistency Model For Efficient Multimodal Generation and UnderstandingFindings of the Association for Computational LinguisticsChenkai Xu, Xu Wang, Zhenyi Liao, et al.2026

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

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