🧑‍🔬 Who cites Kai Dong

171 citations of their works from 171 papers of our library (of the 149,439 whose bibliographies we read) · 38 with a page here, the most cited first · ← Kai Dong

1. How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source SuitesScience China Information SciencesZhe Chen, Weiyun Wang, Hao Tian, et al.2024 · 541 citations
2. LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 477 citations
3. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsScience China Information SciencesYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 306 citations
4. 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
5. Are We on the Right Way for Evaluating Large Vision-Language Models?Conference on Neural Information Processing Systems (NeurIPS)Lin Chen, Jinsong Li, Xiaoyi Dong, et al.2024 · 277 citations
6. MiniCPM-V: A GPT-4V Level MLLM on Your PhonearXiv:2408.01800Yuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 269 citations
7. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 216 citations
8. What matters when building vision-language models?Conference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 212 citations
9. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsConference on Neural Information Processing Systems (NeurIPS)Shengbang Tong, Ellis Brown, Penghao Wu, et al.2024 · 208 citations
10. DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingarXiv:2412.10302Zhiyu Wu, Xiaokang Chen, Zizheng Pan, et al.2024 · 137 citations
11. Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and GenerationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionChengyue Wu, Xiaokang Chen, Zhiyu Wu, et al.2024 · 112 citations
12. Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI ArchitecturesProceedings - International Symposium on Computer Architecture/ProceedingsChenggang Zhao, Chengqi Deng, Chong Ruan, et al.2025 · 74 citations
13. Inference-Time Scaling for Generalist Reward ModelingarXiv:2504.02495Zijun Liu, Peiyi Wang, Runxin Xu, et al.2025 · 65 citations
14. JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and GenerationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionYiyang Ma, Xingchao Liu, Xiaokang Chen, et al.2024 · 52 citations
15. Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End EngineeringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chenglei Si, Yanzhe Zhang, Ryan Li, et al.2025 · 37 citations
16. Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep LearningarXiv:2408.14158Wei An, Xiao Bi, Guanting Chen, et al.2024 · 34 citations
17. ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Xuanle Zhao, Xianzhen Luo, Qi Shi, et al.2025 · 24 citations
18. ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error DetectionFindings of the Association for Computational LinguisticsYibo Yan, Shen Wang, Jiahao Huo, et al.2026 · 23 citations
19. MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought VerificationAnnual Meeting of the Association for Computational Linguistics (ACL)Linzhuang Sun, Hao Liang, Jingxuan Wei, et al.2025 · 19 citations
20. Baichuan-Omni Technical ReportarXiv:2410.08565Yadong Li, Haoze Sun, Mingan Lin, et al.2024 · 18 citations
21. OmniBench: Towards The Future of Universal Omni-Language ModelsConference on Neural Information Processing Systems (NeurIPS)Yizhi Li, Yinghao Ma, Ge Zhang, et al.2024 · 17 citations
22. METAL: A Multi-Agent Framework for Chart Generation with Test-Time ScalingAnnual Meeting of the Association for Computational Linguistics (ACL)Bingxuan Li, Yiwei Wang, Jiuxiang Gu, et al.2025 · 15 citations
23. MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware RetrievalConference on Empirical Methods in Natural Language Processing (EMNLP)Xixi Wu, Yanchao Tan, Nan Hou, et al.2025 · 12 citations
24. Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM ReasoningarXiv:2505.15154Jinghui Lu, Haiyang Yu, Siliang Xu, et al.2025 · 11 citations
25. Centurio: On Drivers of Multilingual Ability of Large Vision-Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Gregor Geigle, Florian Schneider, Carolin Holtermann, et al.2025 · 9 citations
26. Autoregressive Semantic Visual Reconstruction Helps VLMs Understand BetterFindings of the Association for Computational LinguisticsDianyi Wang, Wei Song, Yikun Wang, et al.2026 · 7 citations
27. 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
28. CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay ScoringWorkshop on Advances in Language and Vision Research (ALVR)Jiamin Su, Yibo Yan, Zhuoran Gao, et al.2026 · 4 citations
29. MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial ApplicationAnnual Meeting of the Association for Computational Linguistics (ACL)Xueqing Peng, Lingfei Qian, Yan Wang, et al.2026 · 4 citations
30. From Charts to Code: A Hierarchical Benchmark for Multimodal ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiahao Tang, Henry Hengyuan Zhao, Lijian Wu, et al.2026 · 3 citations
31. SafeMT: Multi-turn Safety for Multimodal Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Han Zhu, Juntao Dai, Jiaming Ji, et al.2026 · 3 citations
32. TechING: Towards Real World Technical Image Understanding via VLMsFindings of the Association for Computational LinguisticsTafazzul Nadeem, Bhavik Shangari, Manish Rai, et al.2026 · 2 citations
33. PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMsFindings of the Association for Computational LinguisticsZijing Wang, YongKang Liu, Mingyang Wang, et al.2026 · 1 citation
34. FedGUI: Benchmarking Federated GUI Agents across Heterogeneous Platforms, Devices, and Operating SystemsFindings of the Association for Computational LinguisticsWenHao Wang, Haoting Shi, Mengying Yuan, et al.2026
35. MirrorQA: Benchmarking Multimodal LLMs on Mirror-Orientation ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Jingping Liu, Xingchen Peng, Yan Zhou, et al.2026
36. Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenxin Qin, Qiang Li, Qingzhuo Wang, et al.2026
37. Overview of EvaHan2026: The First International Evaluation of Ancient Chinese OCR and Layout AnalysisWorkshop on Language Technologies for Historical and Ancient Languages @ LRECDongbo Wang, Dongmei Zhu, Jieqiong Li, et al.2026
38. ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language ModelsLanguage Resources and Evaluation Conference (LREC)Duy Vu Minh Nguyen, Chinh Thanh Truong, Trần Hoàng Phúc, et al.2026

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