🔗 Who cites «VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs»

107 papers of our library cite it (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← back to «VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs»

1. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 287 citations
2. InternVideo2: Scaling Foundation Models for Multimodal Video UnderstandingLecture notes in computer scienceYi Wang, Kunchang Li, Xinhao Li, et al.2024 · 253 citations
3. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsarXiv:2504.10479Jinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 216 citations
4. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
5. MLVU: Benchmarking Multi-task Long Video UnderstandingIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJunjie Zhou, Yan Shu, Bo Zhao, et al.2024 · 140 citations
6. LLaVA-Video: Video Instruction Tuning With Synthetic DataarXiv:2410.02713Yuanhan Zhang, Jinming Wu, Wei Li, et al.2024 · 119 citations
7. Long Context Transfer from Language to VisionarXiv:2406.16852Peiyuan Zhang, Kaichen Zhang, Bo Li, et al.2024 · 73 citations
8. MagicPIG: LSH Sampling for Efficient LLM GenerationarXiv:2410.16179Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, et al.2024 · 68 citations
9. mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language ModelsarXiv:2408.04840Jiabo Ye, Haiyang Xu, Haowei Liu, et al.2024 · 60 citations
10. Kimi-Audio Technical ReportarXiv:2504.18425KimiTeam, Ding Ding, Zeqian Ju, et al.2025 · 57 citations
11. Baichuan-Omni-1.5 Technical ReportarXiv:2501.15368Yadong Li, Jun Liu, Tao Zhang, et al.2025 · 28 citations
12. Baichuan-Omni Technical ReportarXiv:2410.08565Yadong Li, Haoze Sun, Mingan Lin, et al.2024 · 18 citations
13. Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaofeng Zhang, Yihao Quan, Chen Shen, et al.2025 · 14 citations
14. Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QAConference of the European Chapter of the Association for Computational Linguistics (EACL)Jongwoo Park, Kanchana Ranasinghe, Kumara Kahatapitiya, et al.2026 · 13 citations
15. Audio-centric Video Understanding Benchmark without Text ShortcutConference on Empirical Methods in Natural Language Processing (EMNLP)Yudong Yang, Jimin Zhuang, Guangzhi Sun, et al.2025 · 10 citations
16. HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Haowei Zhang, Shudong Yang, Jinlan Fu, et al.2026 · 9 citations
17. INFACT: A Diagnostic Benchmark for Induced Faithfulness and Factuality Hallucinations in Video-LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yangjunqi, Yuecong Min, Jie Zhang, et al.2026 · 5 citations
18. MTAVG-Bench: A Diagnostic Benchmark for Multi-Talker Dialogue-Centric Audio-Video GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yanghao Zhou, Haitian Li, Rexar Lin, et al.2026 · 2 citations
19. A Survey of Large Models in SportsFindings of the Association for Computational LinguisticsYichen Xu, Jianzhe Ma, Chuhan Wang, et al.2026
20. Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahuan Zhang, Shunwen Bai, Tianheng Wang, et al.2026
21. CAIR: Causal Adaptive Information-based Reinforcement Learning for Multimodal Emotion ReasoningFindings of the Association for Computational LinguisticsFengyu Zhang, Bin Liu, Jianhua Tao, et al.2026
22. EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and MissingnessFindings of the Association for Computational LinguisticsYueru Sun, Yimeng Zhang, Haoyu Gu, et al.2026
23. From Detection to Understanding: Multi-Turn Reasoning for Video Misinformation AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Zhi Zeng, Jiaying Wu, Minnan Luo, et al.2026
24. GaLa: Hypergraph-Guided Visual Language Models for Procedural PlanningFindings of the Association for Computational LinguisticsKun Wang, Li Yiming, Mingcheng Qu, et al.2026
25. GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunzhe Wang, Runhui Xu, Kexin Zheng, et al.2026
26. MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn DialoguesFindings of the Association for Computational LinguisticsYaning Pan, Qianqian Xie, Guohui Zhang, et al.2026
27. Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Ke Ma, Jiaqi Tang, Bin Guo, et al.2026
28. v-HUB: A Benchmark for Video Humor Understanding from Vision and SoundAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengpeng Shi, Yanpeng Zhao, Jianqun Zhou, et al.2026

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

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/papers/cheng-2024-videollama-2-advancing-spatial-temporal/cited-by/