🔗 Who cites «EVA-CLIP: Improved Training Techniques for CLIP at Scale»

105 papers of our library cite it (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · ← back to «EVA-CLIP: Improved Training Techniques for CLIP at Scale»

1. MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkIEEE Computer Society Conference on Computer Vision and Pattern RecognitionKunchang Li, Yali Wang, Yinan He, et al.2023 · 463 citations
2. 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
3. CogVLM: Visual Expert for Pretrained Language ModelsConference on Neural Information Processing Systems (NeurIPS)Weihan Wang, Qingsong Lv, Wenmeng Yu, et al.2023 · 383 citations
4. CogAgent: A Visual Language Model for GUI AgentsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionWenyi Hong, Weihan Wang, Qingsong Lv, et al.2023 · 367 citations
5. VideoChat: Chat-Centric Video UnderstandingScience China Information SciencesKunChang Li, Yinan He, Yi Wang, et al.2023 · 365 citations
6. InternVideo2: Scaling Foundation Models for Multimodal Video UnderstandingLecture notes in computer scienceYi Wang, Kunchang Li, Xinhao Li, et al.2024 · 253 citations
7. What matters when building vision-language models?Conference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 212 citations
8. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsConference on Neural Information Processing Systems (NeurIPS)Shengbang Tong, Ellis Brown, Penghao Wu, et al.2024 · 208 citations
9. BLINK: Multimodal Large Language Models Can See but Not PerceiveLecture notes in computer scienceXingyu Fu, Yushi Hu, Bangzheng Li, et al.2024 · 206 citations
10. Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought ReasoningConference on Neural Information Processing Systems (NeurIPS)Hao Shao, Shengju Qian, Han Xiao, et al.2024 · 117 citations
11. 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
12. LVBench: An Extreme Long Video Understanding BenchmarkIEEE/CVF International Conference on Computer Vision (ICCV)Weihan Wang, Zehai He, Wenyi Hong, et al.2024 · 89 citations
13. CogVLM2: Visual Language Models for Image and Video UnderstandingarXiv:2408.16500Wenyi Hong, Weihan Wang, Ming Ding, et al.2024 · 52 citations
14. 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
15. 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
16. WikiSeeker: Rethinking the Role of Vision-Language Models in Knowledge-Based Visual Question AnsweringFindings of the Association for Computational LinguisticsYingjian Zhu, Xinming Wang, Kun Ding, et al.2026 · 1 citation
17. A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)Acta Automatica Sinica (自动化学报)Anda Tang (唐岸达), Zhouchen Lin (林宙辰)2026
18. Infinite Babble: Inflating 3D Vision-Language Model Inference Overhead via Adversarial Geometric PerturbationFindings of the Association for Computational LinguisticsShuoyang Sun, Jiaxin Hong, Yv Zhang, et al.2026
19. Learning Flexible Large Multimodal Models with Arbitrary Modality CombinationsFindings of the Association for Computational LinguisticsXinyu Zhao, Kangqi Ni, Jie Peng, et al.2026
20. Progressive Re-ranking for Multimodal Retrieval-Augmented Generation via Curriculum LearningFindings of the Association for Computational LinguisticsZhu Min, Yanchao Hao, Jian Liu, et al.2026
21. UNIVID: Unified Vision-Language Model for Video ModerationAnnual Meeting of the Association for Computational Linguistics (ACL)Kejuan Yang, Yizhuo Zhang, Mingyuan Du, et al.2026

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