🧑‍🔬 Who cites Cade Gordon

477 citations of their works from 442 papers of our library (of the 140,884 whose bibliographies we read) · 34 with a page here, the most cited first · ← Cade Gordon

1. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
2. Visual Instruction TuningHaotian Liu, Chunyuan Li, Qingyang Wu, et al.2023 · 2,487 citations
3. Sigmoid Loss for Language Image Pre-TrainingXiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, et al.2023 · 1,427 citations
4. DINOv2: Learning Robust Visual Features without SupervisionMaxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,425 citations
5. ImageBind: One Embedding Space To Bind Them AllRohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, et al.2023 · 943 citations
6. Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondJinze Bai, Shuai Bai, Shusheng Yang, et al.2023 · 913 citations
7. Reproducible scaling laws for contrastive language-image learningMehdi Cherti, Romain Beaumont, Ross Wightman, et al.2022 · 750 citations
8. How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source SuitesZhe Chen, Weiyun Wang, Hao Tian, et al.2024 · 529 citations
9. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsPan Lu, Hritik Bansal, Tony Xia, et al.2023 · 441 citations
10. Kimi k1.5: Scaling Reinforcement Learning with LLMsKimi Team, Angang Du, Bofei Gao, et al.2025 · 413 citations
11. InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksZhe Chen, Jiannan Wu, Wenhai Wang, et al.2023 · 409 citations
12. CogVLM: Visual Expert for Pretrained Language ModelsWeihan Wang, Qingsong Lv, Wenmeng Yu, et al.2023 · 373 citations
13. VILA: On Pre-training for Visual Language ModelsJi Lin, Hongxu Yin, Wei Ping, et al.2023 · 367 citations
14. CogAgent: A Visual Language Model for GUI AgentsWenyi Hong, Weihan Wang, Qingsong Lv, et al.2023 · 353 citations
15. Language Is Not All You Need: Aligning Perception with Language ModelsShaohan Huang, Li Dong, Wenhui Wang, et al.2023 · 319 citations
16. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingZhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 276 citations
17. Kosmos-2: Grounding Multimodal Large Language Models to the WorldZhiliang Peng, Wenhui Wang, Li Dong, et al.2023 · 272 citations
18. MiniCPM-V: A GPT-4V Level MLLM on Your PhoneYuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 267 citations
19. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentYang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 219 citations
20. What matters when building vision-language models?Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 195 citations
21. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 184 citations
22. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsHugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 183 citations
23. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsShengbang Tong, Ellis Brown, Penghao Wu, et al.2024 · 173 citations
24. CogVideoX: Text-to-Video Diffusion Models with An Expert TransformerZhuoyi Yang, Jiayan Teng, Wendi Zheng, et al.2024 · 163 citations
25. Fanar: An Arabic-Centric Multimodal Generative AI PlatformFanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
26. Chameleon: Mixed-Modal Early-Fusion Foundation ModelsChameleon Team2024 · 117 citations
27. SemDeDup: Data-efficient learning at web-scale through semantic deduplicationAmro Abbas, Kushal Tirumala, Dániel Simig, et al.2023 · 94 citations
28. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesChaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
29. Scaling Laws for Generative Mixed-Modal Language ModelsArmen Aghajanyan, Lili Yu, Alexis Conneau, et al.2023 · 39 citations
30. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsTomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 14 citations
31. Nearest-Neighbor Retrieval for Indigenous Image CaptioningJustin Vasselli, Arturo Martínez Peguero, Shintaro Ozaki, et al.2026 · 1 citation
32. A Cascade Reinforcement Learning Strategy for Efficiently Enhancing the Reasoning Ability of Multimodal Large Language Models (高效提升多模态大语言模型推理能力的级联强化学习策略)Weiyun Wang (王玮赟), Hengjun Pu (蒲恒骏), Linglin Jing (景凌林), et al.2026
33. STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across DomainsDaniel Steinigen, Lucie Flek, Sebastian Houben2026
34. Wasm: A Pipeline for Constructing Structured Arabic Interleaved Multimodal CorporaKhalil Hennara; Ahmad Bastati; Muhammad Hreden; Mohamed Motasim Hamed; Zeina Aldallal; Sara Chrouf;, Safwan AlModhayan2025

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