🔗 Who cites «Reproducible scaling laws for contrastive language-image learning»

99 papers of our library cite it (of the 140,884 whose bibliographies we read) · 8 with a page here, the most cited first · ← the paper

1. DINOv2: Learning Robust Visual Features without SupervisionMaxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,425 citations
2. ImageBind: One Embedding Space To Bind Them AllRohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, et al.2023 · 943 citations
3. 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
4. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsShengbang Tong, Ellis Brown, Penghao Wu, et al.2024 · 173 citations
5. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesChaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
6. Scaling Laws for Generative Mixed-Modal Language ModelsArmen Aghajanyan, Lili Yu, Alexis Conneau, et al.2023 · 39 citations
7. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsTomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 14 citations
8. Nearest-Neighbor Retrieval for Indigenous Image CaptioningJustin Vasselli, Arturo Martínez Peguero, Shintaro Ozaki, et al.2026 · 1 citation

91 more papers of our library cite it; they have no page here yet.

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