🧑‍🔬 Who cites Ye Xia

556 citations of their works from 548 papers of our library (of the 149,439 whose bibliographies we read) · 78 with a page here, the most cited first · ← Ye Xia

1. Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingarXiv:2205.11487Chitwan Saharia, William Chan, Saurabh Saxena, et al.2022 · 2,533 citations
2. Flamingo: a Visual Language Model for Few-Shot LearningarXiv:2204.14198Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,246 citations
3. BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsarXiv:2301.12597Junnan Li, Dongxu Li, Silvio Savarese, et al.2023 · 2,219 citations
4. CLIPScore: A Reference-free Evaluation Metric for Image CaptioningConference on Empirical Methods in Natural Language Processing (EMNLP)Jack Hessel, Ari Holtzman, Maxwell Forbes, et al.2021 · 1,550 citations
5. BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationarXiv:2201.12086Junnan Li, Dongxu Li, Caiming Xiong, et al.2022 · 1,523 citations
6. 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
7. Vision-Language Models for Vision Tasks: A SurveyIEEE Transactions on Pattern Analysis and Machine IntelligenceJingyi Zhang, Jiaxing Huang, Sheng Jin, et al.2023 · 1,047 citations
8. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIIEEE Computer Society Conference on Computer Vision and Pattern RecognitionXiang Yue, Yuansheng Ni, Kai Zhang, et al.2023 · 1,005 citations
9. Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondarXiv:2308.12966Jinze Bai, Shuai Bai, Shusheng Yang, et al.2023 · 970 citations
10. Segment AnythingarXiv:2304.02643Alexander Kirillov, Eric Mintun, Nikhila Ravi, et al.2023 · 960 citations
11. ImageBind: One Embedding Space To Bind Them AllIEEE Computer Society Conference on Computer Vision and Pattern RecognitionRohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, et al.2023 · 954 citations
12. Reproducible scaling laws for contrastive language-image learningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMehdi Cherti, Romain Beaumont, Ross Wightman, et al.2022 · 769 citations
13. CoCa: Contrastive Captioners are Image-Text Foundation ModelsarXiv:2205.01917Jiahui Yu, Zirui Wang, Vijay Vasudevan, et al.2022 · 667 citations
14. Text Embeddings by Weakly-Supervised Contrastive Pre-trainingarXiv:2212.03533Liang Wang, Nan Yang, Xiaolong Huang, et al.2022 · 598 citations
15. LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text PairsarXiv:2111.02114Christoph Schuhmann, Richard Vencu, Romain Beaumont, et al.2021 · 563 citations
16. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
17. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 507 citations
18. Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space ModelarXiv:2401.09417Lianghui Zhu, Bencheng Liao, Qian Zhang, et al.2024 · 500 citations
19. SimVLM: Simple Visual Language Model Pretraining with Weak SupervisionarXiv:2108.10904Zirui Wang, Jiahui Yu, Adams Wei Yu, et al.2021 · 481 citations
20. ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsLecture notes in computer scienceLin Chen, Jinsong Li, Xiaoyi Dong, et al.2023 · 454 citations
21. InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksarXiv:2312.14238Zhe Chen, Jiannan Wu, Wenhai Wang, et al.2023 · 435 citations
22. Editing Models with Task ArithmeticarXiv:2212.04089Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 402 citations
23. PaLI: A Jointly-Scaled Multilingual Language-Image ModelarXiv:2209.06794Xi Chen, Xiao Wang, Soravit Changpinyo, et al.2022 · 371 citations
24. Qwen3-VL Technical ReportarXiv:2511.21631Shuai Bai, Yuxuan Cai, Ruizhe Chen, et al.2025 · 370 citations
25. LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init AttentionarXiv:2303.16199Renrui Zhang, Jiaming Han, Chris Liu, et al.2023 · 333 citations
26. Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 323 citations
27. MM-LLMs: Recent Advances in MultiModal Large Language ModelsFindings of the Association for Computational LinguisticsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 320 citations
28. WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine LearningInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Krishna Srinivasan, Karthik Raman, Jiecao Chen, et al.2021 · 315 citations
29. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsScience China Information SciencesYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 306 citations
30. Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguagearXiv:2204.00598Andy Zeng, Maria Attarian, Brian Ichter, et al.2022 · 302 citations
31. Are We on the Right Way for Evaluating Large Vision-Language Models?Conference on Neural Information Processing Systems (NeurIPS)Lin Chen, Jinsong Li, Xiaoyi Dong, et al.2024 · 277 citations
32. LLaMA-VID: An Image is Worth 2 Tokens in Large Language ModelsLecture notes in computer scienceYanwei Li, Chengyao Wang, Jiaya Jia2023 · 262 citations
33. Multimodal Few-Shot Learning with Frozen Language ModelsarXiv:2106.13884Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al.2021 · 258 citations
34. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 240 citations
35. DataComp: In search of the next generation of multimodal datasetsConference on Neural Information Processing Systems (NeurIPS)Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, et al.2023 · 224 citations
36. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 216 citations
37. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsConference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 197 citations
38. InternVideo: General Video Foundation Models via Generative and Discriminative LearningarXiv:2212.03191Yi Wang, Kunchang Li, Yizhuo Li, et al.2022 · 144 citations
39. PaliGemma: A versatile 3B VLM for transferarXiv:2407.07726Lucas Beyer, Andreas Steiner, Andre Susano Pinto, et al.2024 · 142 citations
40. UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Ahmed Masry, Parsa Kavehzadeh, Xuan Long Do, et al.2023 · 121 citations
41. Hallucination of Multimodal Large Language Models: A SurveyarXiv:2404.18930Zechen Bai, Pichao Wang, Tianjun Xiao, et al.2024 · 120 citations
42. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
43. Qwen3-Omni Technical ReportarXiv:2509.17765Jin Xu, Zhifang Guo, Hangrui Hu, et al.2025 · 117 citations
44. InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large ModelarXiv:2401.16420Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 94 citations
45. Qwen-Image Technical ReportarXiv:2508.02324Chenfei Wu, Jiahao Li, Jingren Zhou, et al.2025 · 92 citations
46. 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
47. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 67 citations
48. SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity RepresentationInternational Workshop on Semantic Evaluation (SemEval)Thomas Pickard, Aline Villavicencio, Maggie Mi, et al.2025 · 30 citations
49. MegaPairs: Massive Data Synthesis for Universal Multimodal RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Junjie Zhou, Yongping Xiong, Zheng Liu, et al.2025 · 26 citations
50. MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language ModelarXiv:2409.13729Zhen Yang, Jinhao Chen, Zhengxiao Du, et al.2024 · 10 citations
51. HunyuanOCR Technical ReportarXiv:2511.19575Hunyuan Vision Team, Pengyuan Lyu, Xingyu Wan, et al.2025 · 9 citations
52. Autoregressive Semantic Visual Reconstruction Helps VLMs Understand BetterFindings of the Association for Computational LinguisticsDianyi Wang, Wei Song, Yikun Wang, et al.2026 · 7 citations
53. MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Biao Wu, Yutong Xie, Zeyu Zhang, et al.2026 · 3 citations
54. Agentic Very Long Video UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Aniket Rege, Arka Sadhu, Yuliang Li, et al.2026 · 1 citation
55. microCLIP: Unsupervised CLIP Adaptation via Coarse-Fine Token Fusion for Fine-Grained Image ClassificationFindings of the Association for Computational LinguisticsSathira Silva, Eman Ali, Chetan Arora, et al.2026 · 1 citation
56. Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual ReasoningConference on Computational Natural Language Learning (CoNLL)Mohit Vaishnav, Tanel Tammet2026 · 1 citation
57. Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Weiqing Luo, Zongye Hu, Xiao Wang, et al.2026 · 1 citation
58. A Large-Scale Instruction-Tuning Dataset and Models for Slovenian Vision-Language TasksLanguage Resources and Evaluation Conference (LREC)Matej Martinc, Domen Vreš2026
59. Adapting Vision-Language Models for E-commerce Understanding at ScaleConference of the European Chapter of the Association for Computational Linguistics (EACL)Matteo Nulli, Vladimir Orshulevich, Tala Bazazo, et al.2026
60. Annotation-Efficient Vision-Language Model Adaptation to the Polish Language Using the LLaVA FrameworkConference of the European Chapter of the Association for Computational Linguistics (EACL)Grzegorz Statkiewicz, Alicja Dobrzeniecka, Karolina Seweryn, et al.2026
61. BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMsFindings of the Association for Computational LinguisticsMainak Singha, Tanisha Gupta, Ankit Jha, et al.2026
62. DANCE: Diversity-attended Dynamic Caching with Asymmetric Quantization for Test-time Adaptation of Vision-Language ModelsFindings of the Association for Computational LinguisticsShunge Zou, Changhu Wang, Wei Ju, et al.2026
63. Draft, Verify, Restore: Self-Refining Historical Inscription Restoration with a Unified MLLMAnnual Meeting of the Association for Computational Linguistics (ACL)Yuyi Zhang, Junle Liu, Peirong Zhang, et al.2026
64. Enabling Stroke-Level Structural Analysis of Hieroglyphic Scripts without Language-Specific PriorsFindings of the Association for Computational LinguisticsFuwen Luo, Zihao Wan, Ziyue Wang, et al.2026
65. From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual SegmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Yizhou Wang, Mang Tik Chiu, Lingzhi Zhang, et al.2026
66. FTibSuite: A Comprehensive Resource Suite for Tibetan Vision–Language ModelingFindings of the Association for Computational LinguisticsGuixian Xu, Yide Liang, Zeli Su, et al.2026
67. GaLa: Hypergraph-Guided Visual Language Models for Procedural PlanningFindings of the Association for Computational LinguisticsKun Wang, Li Yiming, Mingcheng Qu, et al.2026
68. Iterative Self-Correction for Text-Driven Person Re-Identification with Large Vision-Language ModelsFindings of the Association for Computational LinguisticsGuijin Luo, Zequn Xie, Sihang Cai, et al.2026
69. J-Shuwa: A Large-Scale Web-Collected Japanese Sign Language-Japanese Parallel CorpusFindings of the Association for Computational LinguisticsJunwen Mo, MinhDuc Vo, Noriki Nishida, et al.2026
70. Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series ForecastingAnnual Meeting of the Association for Computational Linguistics (ACL)Siming Sun, Kai Zhang, Xuejun Jiang, et al.2026
71. Multilingual-To-Multimodal (M2M): Unlocking New Languages with Monolingual TextFindings of the Association for Computational LinguisticsPiyush Singh Pasi2026
72. REVEAL: Retrieval-Enhanced Verification for Multimodal Fact-CheckingFact Extraction and VERification Workshop (FEVER)Amina Tariq, Yova Kementchedjhieva2026
73. SceneLM: 3D-Aware Language Models for Editable 3D Scene SynthesisFindings of the Association for Computational LinguisticsXingbo Yao, Xiaoyu Chen, Doudou Zhang, et al.2026
74. Semantic Contrastive Adaptation for Multimodal Figurative Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Ayaan Siddiqui2026
75. Success and Cost Elicit Convention Formation for Efficient CommunicationAnnual Meeting of the Association for Computational Linguistics (ACL)Saujas Vaduguru, Yilun Hua, Yoav Artzi, et al.2026
76. Text-Guided Multi-Scale Frequency Representation AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Weicai Yan, Xinhua Ma, Wang Lin, et al.2026
77. Towards Unified Multimodal Large Language Models: A surveyFindings of the Association for Computational LinguisticsXu Ma, Yitian Zhang, Yun Fu2026
78. Survey on Vision-language Pre-training (视觉语言预训练综述)Journal of SoftwareJiong Yin (殷炯), Zhedong Zhang (张哲东), Yuhan Gao (高宇涵), et al.2022

470 more citing papers of our library have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ye-xia/cited-by/