🔗 Who cites «LLaVA-Video: Video Instruction Tuning With Synthetic Data»

116 papers of our library cite it (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · ← back to «LLaVA-Video: Video Instruction Tuning With Synthetic Data»

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. Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall SpacesIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJihan Yang, Shusheng Yang, Anjali W. Gupta, et al.2024 · 182 citations
3. MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at ScaleAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Guo, Tianyu Zheng, Yizhi Li, et al.2025 · 40 citations
4. Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xuyang Liu, Yiyu Wang, Junpeng Ma, et al.2025 · 16 citations
5. 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
6. VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual CuesAnnual Meeting of the Association for Computational Linguistics (ACL)Jianshu Zhang, Dongyu Yao, Renjie Pi, et al.2025 · 12 citations
7. 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
8. 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
9. LongVideoAgent: Multi-Agent Reasoning with Long VideosAnnual Meeting of the Association for Computational Linguistics (ACL)Runtao Liu, Ziyi Liu, Jiaqi Tang, et al.2026 · 3 citations
10. CoV: Chain-of-View Prompting for Spatial ReasoningFindings of the Association for Computational LinguisticsHaoyu Zhao, Akide Liu, Zeyu Zhang, et al.2026 · 2 citations
11. Sparrow: Text-Anchored Window Attention with Visual-Semantic Glimpsing for Speculative Decoding in Video LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Libo Zhang, Zhaoning Zhang, Hongwanyang, et al.2026 · 2 citations
12. Agentic Very Long Video UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Aniket Rege, Arka Sadhu, Yuliang Li, et al.2026 · 1 citation
13. EchoVLM: Dynamic Mixture-of-Experts Vision-Language Model for Universal Ultrasound IntelligenceAnnual Meeting of the Association for Computational Linguistics (ACL)Chaoyin She, Ruifang Lu, Lida Chen, et al.2026 · 1 citation
14. A Survey of Large Models in SportsFindings of the Association for Computational LinguisticsYichen Xu, Jianzhe Ma, Chuhan Wang, et al.2026
15. Black-Box Membership Inference Attacks for Video Training Data in Multimodal Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinrui Wang, Zhenfeng Gao, Wendan Wang, et al.2026
16. Can Video LLMs See Through Illusions? Video-Illusion QA Benchmark DatasetLanguage Resources and Evaluation Conference (LREC)Souto Ohira, Tosho Hirasawa, Mamoru Komachi2026
17. 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
18. MVP: Enhancing Video Large Language Models via Self-supervised Masked Video PredictionAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaokun Sun, Zezhong Wu, Zewen Ding, et al.2026
19. Putting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Zizhen Wang, Bo Feng, Zhengfeng Lai, et al.2026
20. Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language ModelsFindings of the Association for Computational LinguisticsZiyao Tang, Pengkun Jiao, Bin Zhu, et al.2026

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

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