Who cites «LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding»
- Qwen2.5-VL Technical ReportarXiv:2502.13923Shuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 1,031 citations
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- 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
- LLaVA-Video: Video Instruction Tuning With Synthetic DataarXiv:2410.02713Yuanhan Zhang, Jinming Wu, Wei Li, et al.2024 · 119 citations
- 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
- Kimi-VL Technical ReportarXiv:2504.07491Kimi Team, Angang Du, Bohong Yin, et al.2025 · 70 citations
- Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 67 citations
- Kimi K2.5: Visual Agentic IntelligencearXiv:2602.02276Kimi Team, Tongtong Bai, Yifan Bai, et al.2026 · 66 citations
- 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
- MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training RecipearXiv:2509.18154Tianyu Yu, Zefan Wang, Chongyi Wang, et al.2025 · 24 citations
- 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
- SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token PruningConference on Empirical Methods in Natural Language Processing (EMNLP)Yicheng Ji, Jun Zhang, Heming Xia, et al.2025 · 10 citations
- VideoPro: Adaptive Program Reasoning for Long Video UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Chenglin Li, Feng Han, Yikun Wang, et al.2026 · 6 citations
- MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal InteractionarXiv:2604.27393Junbo Cui, Bokai Xu, Chongyi Wang, et al.2026 · 5 citations
- MiniMax Sparse AttentionarXiv:2606.13392Xunhao Lai, Weiqi Xu, Yufeng Yang, et al.2026 · 2 citations
- 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
- Agentic Very Long Video UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Aniket Rege, Arka Sadhu, Yuliang Li, et al.2026 · 1 citation
- TRACE: Evidence Grounding-Guided Multi-Video Event Understanding and Claim GenerationWorkshop on Multimodal Augmented Generation via Multimodal RetrievalPengyu Yan, Akhil V S S Gorugantu, Mahesh Bhosale, et al.2026 · 1 citation
- 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
- 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
- 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
- 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
- Reducing Token Redundancy in LVLMs: A Systematic Review of Token Pruning MethodsAnnual Meeting of the Association for Computational Linguistics (ACL)Hanzhang Yuan, Mengxuan Hu, Wenhao Zhang, et al.2026
- Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and ReasoningFindings of the Association for Computational LinguisticsCong Wan, Ying He, Zhongzhan Huang, et al.2026
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