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Who cites Andreas Blattmann

1,649 citations of their works from 1,365 papers of our library (of the 149,439 whose bibliographies we read) · 132 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Andreas Blattmann

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  1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  2. Hierarchical Text-Conditional Image Generation with CLIP LatentsarXiv:2204.06125Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, et al.2022 · 2,713 citations
  3. Visual Instruction TuningarXiv:2304.08485Haotian Liu, Chunyuan Li, Qingyang Wu, et al.2023 · 2,617 citations
  4. Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingarXiv:2205.11487Chitwan Saharia, William Chan, Saurabh Saxena, et al.2022 · 2,533 citations
  5. LAION-5B: An open large-scale dataset for training next generation image-text modelsarXiv:2210.08402Christoph Schuhmann, Romain Beaumont, Richard Vencu, et al.2022 · 1,485 citations
  6. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityarXiv:2302.04023Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.2023 · 882 citations
  7. Large Language Models Are Human-Level Prompt EngineersarXiv:2211.01910Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, et al.2022 · 701 citations
  8. SDXL: Improving Latent Diffusion Models for High-Resolution Image SynthesisarXiv:2307.01952Dustin Podell, Zion English, Kyle Lacey, et al.2023 · 608 citations
  9. Instruction Tuning for Large Language Models: A SurveyACM Computing SurveysShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 520 citations
  10. Flow Matching for Generative ModelingarXiv:2210.02747Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, et al.2022 · 481 citations
  11. Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object DetectionarXiv:2303.05499Shilong Liu, Zhaoyang Zeng, Tianhe Ren, et al.2023 · 472 citations
  12. Tool Learning with Foundation ModelsACM Computing SurveysYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 383 citations
  13. Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation ModelsarXiv:2303.04671Chenfei Wu, Shengming Yin, Weizhen Qi, et al.2023 · 328 citations
  14. The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)arXiv:2309.17421Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 311 citations
  15. AugGPT: Leveraging ChatGPT for Text Data AugmentationIEEE Transactions on Big DataHaixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu; Lin Zhao; Shaochen Xu; Wei Liu; Ninghao Liu; Sheng Li; Dajiang Zhu; Hongmin Cai; Lichao Sun; Quanzheng Li; Dinggang Shen; Tianming Liu;, Xiang Li2023 · 306 citations
  16. Can AI-Generated Text be Reliably Detected?arXiv:2303.11156Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, et al.2023 · 306 citations
  17. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
  18. Wan: Open and Advanced Large-Scale Video Generative ModelsarXiv:2503.20314Team Wan, Ang Wang, Baole Ai, et al.2025 · 260 citations
  19. RAFT: Reward rAnked FineTuning for Generative Foundation Model AlignmentarXiv:2304.06767Hanze Dong, Wei Xiong, Deepanshu Goyal, et al.2023 · 252 citations
  20. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 240 citations
  21. LLaMA-Adapter V2: Parameter-Efficient Visual Instruction ModelarXiv:2304.15010Peng Gao, Jiaming Han, Renrui Zhang, et al.2023 · 229 citations
  22. A Survey of Hallucination in Large Foundation ModelsarXiv:2309.05922Vipula Rawte, Amit Sheth, Amitava Das2023 · 226 citations
  23. NExT-GPT: Any-to-Any Multimodal LLMarXiv:2309.05519Shengqiong Wu, Hao Fei, Leigang Qu, et al.2023 · 207 citations
  24. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
  25. CogVideoX: Text-to-Video Diffusion Models with An Expert TransformerarXiv:2408.06072Zhuoyi Yang, Jiayan Teng, Wendi Zheng, et al.2024 · 184 citations
  26. HunyuanVideo: A Systematic Framework For Large Video Generative ModelsarXiv:2412.03603Weijie Kong, Qi Tian, Zijian Zhang, et al.2024 · 169 citations
  27. AudioLDM: Text-to-Audio Generation with Latent Diffusion ModelsarXiv:2301.12503Haohe Liu, Zehua Chen, Yi Yuan, et al.2023 · 147 citations
  28. Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step InferencearXiv:2310.04378Simian Luo, Yiqin Tan, Longbo Huang, et al.2023 · 137 citations
  29. Emergent and Predictable Memorization in Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Stella Biderman, USVSN Sai Prashanth, Lintang Sutawika, et al.2023 · 123 citations
  30. Hallucination of Multimodal Large Language Models: A SurveyarXiv:2404.18930Zechen Bai, Pichao Wang, Tianjun Xiao, et al.2024 · 120 citations
  31. Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model ScalingarXiv:2501.17811Xiaokang Chen, Zhiyu Wu, Xingchao Liu, et al.2025 · 112 citations
  32. ChartLlama: A Multimodal LLM for Chart Understanding and GenerationarXiv:2311.16483Yucheng Han, Chi Zhang, Xin Chen, et al.2023 · 99 citations
  33. Qwen-Image Technical ReportarXiv:2508.02324Chenfei Wu, Jiahao Li, Jingren Zhou, et al.2025 · 92 citations
  34. What's In My Big Data?arXiv:2310.20707Yanai Elazar, Akshita Bhagia, Ian Magnusson, et al.2023 · 92 citations
  35. InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and CompositionarXiv:2309.15112Pan Zhang, Xiaoyi Dong, Bin Wang, et al.2023 · 87 citations
  36. PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image SynthesisarXiv:2310.00426Junsong Chen, Jincheng Yu, Chongjian Ge, et al.2023 · 87 citations
  37. Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal ModelarXiv:2408.11039Chunting Zhou, Lili Yu, Arun Babu, et al.2024 · 83 citations
  38. Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and OpportunitiesarXiv:2408.07666Enneng Yang, Li Shen, Guibing Guo, et al.2024 · 79 citations
  39. Large Multilingual Models Pivot Zero-Shot Multimodal Learning across LanguagesarXiv:2308.12038Jinyi Hu, Yuan Yao, Chongyi Wang, et al.2023 · 43 citations
  40. Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese UnderstandingarXiv:2405.08748Zhimin Li, Jianwei Zhang, Qin Lin, et al.2024 · 35 citations
  41. Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and ConcretenessarXiv:2309.11064Vipula Rawte, Prachi Priya, S.M Towhidul Islam Tonmoy, et al.2023 · 27 citations
  42. Step1X-Edit: A Practical Framework for General Image EditingarXiv:2504.17761Shiyu Liu, Yucheng Han, Peng Xing, et al.2025 · 23 citations
  43. HunyuanImage 3.0 Technical ReportarXiv:2509.23951Tencent Hunyuan Foundation Model Team2025 · 17 citations
  44. Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets GenerationarXiv:2501.12202Zibo Zhao, Zeqiang Lai, Qingxiang Lin, et al.2025 · 12 citations
  45. Contrastive Learning of English Language and Crystal Graphs for Multimodal Representation of Materials KnowledgearXiv:2502.16451Yang Jeong Park, Mayank Kumaran, Chia-Wei Hsu, et al.2025 · 3 citations
  46. DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal GenerationarXiv:2510.14949Yu Zhou, Sohyun An, Haikang Deng, et al.2025 · 3 citations
  47. On the Utility of Pretraining Language Models on Synthetic DataArabic Natural Language Processing Conference (ArabicNLP)Alcides Alcoba Inciarte, Sang Yun Kwon, El Moatez Billah Nagoudi, et al.2024 · 3 citations
  48. A Platform for Generating Educational Activities to Teach English as a Second LanguagearXiv:2504.20251Aiala Rosa, Santiago Gongora, Juan Pablo Filevich, et al.2025 · 2 citations

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