🧑‍🔬 Who cites Mike Zheng Shou

252 citations of their works from 247 papers of our library (of the 149,439 whose bibliographies we read) · 42 with a page here, the most cited first · ← Mike Zheng Shou

1. Flamingo: a Visual Language Model for Few-Shot LearningarXiv:2204.14198Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,246 citations
2. MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkIEEE Computer Society Conference on Computer Vision and Pattern RecognitionKunchang Li, Yali Wang, Yinan He, et al.2023 · 463 citations
3. VideoChat: Chat-Centric Video UnderstandingScience China Information SciencesKunChang Li, Yinan He, Yi Wang, et al.2023 · 365 citations
4. InternVideo2: Scaling Foundation Models for Multimodal Video UnderstandingLecture notes in computer scienceYi Wang, Kunchang Li, Xinhao Li, et al.2024 · 253 citations
5. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 240 citations
6. NExT-GPT: Any-to-Any Multimodal LLMarXiv:2309.05519Shengqiong Wu, Hao Fei, Leigang Qu, et al.2023 · 207 citations
7. EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language UnderstandingConference on Neural Information Processing Systems (NeurIPS)Karttikeya Mangalam, Raiymbek Akshulakov, Jitendra Malik2023 · 195 citations
8. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
9. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
10. InternVideo: General Video Foundation Models via Generative and Discriminative LearningarXiv:2212.03191Yi Wang, Kunchang Li, Yizhuo Li, et al.2022 · 144 citations
11. PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image SynthesisarXiv:2310.00426Junsong Chen, Jincheng Yu, Chongjian Ge, et al.2023 · 87 citations
12. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
13. Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?Findings of the Association for Computational LinguisticsZhiting Mei, Christina Zhang, Tenny Yin, et al.2026 · 14 citations
14. What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific PresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Dongqi Liu, Chenxi Whitehouse, Xi Yu, et al.2025 · 13 citations
15. 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
16. Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math CapabilityConference on Empirical Methods in Natural Language Processing (EMNLP)Ruida Wang, Yuxin Li, Yi R. Fung, et al.2025 · 7 citations
17. Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMsFindings of the Association for Computational LinguisticsGuangtao Lyu, Qi Liu, Chenghao Xu, et al.2026 · 5 citations
18. Uncertainty Distillation: Teaching Language Models to Express Semantic ConfidencearXiv:2503.14749Sophia Hager; David Mueller; Kevin Duh;, Nicholas Andrews2025 · 5 citations
19. StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video UnderstandingFindings of the Association for Computational LinguisticsJunxi Wang, Te Sun, Jiayi Zhu, et al.2026 · 3 citations
20. Can Large Language Models Infer Causal Relationships from Real-World Text?Annual Meeting of the Association for Computational Linguistics (ACL)Ryan Saklad, Aman Chadha, Oleg V. Pavlov, et al.2026 · 2 citations
21. Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Chi Zhang, Wenxuan Ding, Jiale Liu, et al.2026 · 2 citations
22. LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General IntelligenceFindings of the Association for Computational LinguisticsWenjin Liu, Haoran Luo, Xin Feng, et al.2026 · 2 citations
23. From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language ModelsFindings of the Association for Computational LinguisticsJunlong Tong, Zilong Wang, YuJie Ren, et al.2026 · 1 citation
24. LAMAR-2 at MedGenVidQA 2026: Visual Answer Localization in Medical Videos via Multimodal LLM and Context-Augmented PromptingBioNLPWatcharitpol Sermsrisuwan, Nopporn Lekuthai, Seksan Yoadsanit, et al.2026 · 1 citation
25. SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsWeijiang Lv, Yaoxuan Feng, Xiaobo Xia, et al.2026 · 1 citation
26. Visually-Guided Policy Optimization for Multimodal ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Zengbin Wang, Feng Xiong, Liang Lin, et al.2026 · 1 citation
27. Zero-Shot Multimodal Retrieval with Multi-Scale Contextual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Sourajit Saha, Tejas Gokhale2026 · 1 citation
28. Building Common Ground in Dialogue: A SurveyLUHME WorkshopTatiana Anikina, Alina Leippert, Simon Ostermann2025 · 1 citation
29. A Survey of Large Models in SportsFindings of the Association for Computational LinguisticsYichen Xu, Jianzhe Ma, Chuhan Wang, et al.2026
30. Deep-Reporter: Deep Research for Grounded Multimodal Long-Form GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Fangda Ye, Kuicai Dong, Xie Zhifei, et al.2026
31. Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Zhang, Yuchen Wan, Boxuan Zhang, et al.2026
32. 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
33. Journey Before Destination: On the importance of Visual Faithfulness in Slow ThinkingConference of the European Chapter of the Association for Computational Linguistics (EACL)Rheeya Uppaal, Phu Mon Htut, Min Bai, et al.2026
34. Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiwen Luo, Siyu Jiang, Weilong Jiang, et al.2026
35. Mitigating Hallucinations in Large Vision-Language Models without Performance DegradationAnnual Meeting of the Association for Computational Linguistics (ACL)Xingyu Zhu, Junfeng Fang, Shuo Wang, et al.2026
36. OptiVerse: A Comprehensive Benchmark towards Optimization Problem SolvingFindings of the Association for Computational LinguisticsXinyu Zhang, Boxuan Zhang, Yuchen Wan, et al.2026
37. RATION: Entropy-Driven Task-Adaptive Visual Attention Allocation Framework for Multimodal ReasoningFindings of the Association for Computational LinguisticsXingle Xu, Fanheng Kong, Dexian Cai, et al.2026
38. 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
39. Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination MitigationFindings of the Association for Computational LinguisticsYebo Wu, Han Jin, Zhijiang Guo, et al.2026
40. Taming Object Hallucinations with Verified Atomic Confidence EstimationConference of the European Chapter of the Association for Computational Linguistics (EACL)Jiarui Liu, Weihao Xuan, Zhijing Jin, et al.2026
41. When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and NoiseWorkshop on Advances in Language and Vision Research (ALVR)Philip Wootaek Shin, Ajay Narayanan Sridhar, Lakshmi Sivani Devarapalli, et al.2026
42. “Excuse me, may I say something...” CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert CollaborationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Wu, Jinhong Yu, Jingwei Xiong, et al.2026

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