🔗 Who cites «VideoChat: Chat-Centric Video Understanding»

166 papers of our library cite it (of the 140,884 whose bibliographies we read) · 16 with a page here, the most cited first · ← the paper

1. A Comprehensive Overview of Large Language ModelsHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
2. The Rise and Potential of Large Language Model Based Agents: A SurveyZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,262 citations
3. Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language ModelsMuhammad Maaz, Hanoona Rasheed, Salman Khan, et al.2023 · 634 citations
4. Video-LLaVA: Learning United Visual Representation by Alignment Before ProjectionBin Lin, Yang Ye, Bin Zhu, et al.2023 · 614 citations
5. How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source SuitesZhe Chen, Weiyun Wang, Hao Tian, et al.2024 · 529 citations
6. Instruction Tuning for Large Language Models: A SurveyShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 515 citations
7. MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkKunchang Li, Yali Wang, Yinan He, et al.2023 · 441 citations
8. InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksZhe Chen, Jiannan Wu, Wenhai Wang, et al.2023 · 409 citations
9. Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video AnalysisChaoyou Fu, Yuhan Dai, Yongdong Luo, et al.2024 · 403 citations
10. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingZhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 276 citations
11. SEED-Bench: Benchmarking Multimodal LLMs with Generative ComprehensionBohao Li, Rui Wang, Guangzhi Wang, et al.2023 · 247 citations
12. A Survey of Hallucination in Large Foundation ModelsVipula Rawte, Amit Sheth, Amitava Das2023 · 221 citations
13. Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video UnderstandingHang Zhang, Xin Li, Lidong Bing2023 · 217 citations
14. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsJinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 195 citations
15. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyWeiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 159 citations
16. MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn DialoguesYaning Pan, Qianqian Xie, Guohui Zhang, et al.2026

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

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