Who cites Yan Shu
- Qwen2.5-VL Technical ReportarXiv:2502.13923Shuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 1,031 citations
- LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 477 citations
- Qwen3-VL Technical ReportarXiv:2511.21631Shuai Bai, Yuxuan Cai, Ruizhe Chen, et al.2025 · 370 citations
- 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
- 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
- InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
- LLaVA-Video: Video Instruction Tuning With Synthetic DataarXiv:2410.02713Yuanhan Zhang, Jinming Wu, Wei Li, et al.2024 · 119 citations
- VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMsarXiv:2406.07476Zesen Cheng, Sicong Leng, Hang Zhang, et al.2024 · 118 citations
- Qwen3-Omni Technical ReportarXiv:2509.17765Jin Xu, Zhifang Guo, Hangrui Hu, et al.2025 · 117 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
- 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
- InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputarXiv:2407.03320Pan Zhang, Xiaoyi Dong, Yuhang Zang, et al.2024 · 39 citations
- Qwen3.5-Omni Technical ReportarXiv:2604.15804Qwen Team2026 · 29 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
- 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
- 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
- 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
- Agentic Very Long Video UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Aniket Rege, Arka Sadhu, Yuliang Li, et al.2026 · 1 citation
- A Survey of Large Models in SportsFindings of the Association for Computational LinguisticsYichen Xu, Jianzhe Ma, Chuhan Wang, et al.2026
- Minimal Clips, Maximum Salience: Long Video Summarization via Key Moment ExtractionInternational Workshop on Spoken Dialogue System TechnologyGalann Pennec, Zhengyuan Liu, Nicholas Asher, 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
- 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
- SagaQA: A Multi-hop Reasoning Benchmark for Long-form Narrative Understanding in TV SeriesAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Galann Pennec, Zhengyuan Liu, Nicholas Asher, 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
- 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
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