🧑‍🔬 Who cites Yair Carmon

552 citations of their works from 531 papers of our library (of the 140,884 whose bibliographies we read) · 39 with a page here, the most cited first · ← Yair Carmon

1. Flamingo: a Visual Language Model for Few-Shot LearningJean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,108 citations
2. Qwen2.5-VL Technical ReportShuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 948 citations
3. Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondJinze Bai, Shuai Bai, Shusheng Yang, et al.2023 · 913 citations
4. CoCa: Contrastive Captioners are Image-Text Foundation ModelsJiahui Yu, Zirui Wang, Vijay Vasudevan, et al.2022 · 646 citations
5. ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsLin Chen, Jinsong Li, Xiaoyi Dong, et al.2023 · 441 citations
6. Kimi k1.5: Scaling Reinforcement Learning with LLMsKimi Team, Angang Du, Bofei Gao, et al.2025 · 413 citations
7. BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 406 citations
8. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingNathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 379 citations
9. Editing Models with Task ArithmeticGabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 374 citations
10. PaLI: A Jointly-Scaled Multilingual Language-Image ModelXi Chen, Xiao Wang, Soravit Changpinyo, et al.2022 · 339 citations
11. TIES-Merging: Resolving Interference When Merging ModelsPrateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 306 citations
12. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsKaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 301 citations
13. RedPajama: an Open Dataset for Training Large Language ModelsMaurice Weber, Daniel Fu, Quentin Anthony, et al.2024 · 247 citations
14. Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchLe Yu, Bowen Yu, Haiyang Yu, et al.2023 · 209 citations
15. Large Language Model as Attributed Training Data Generator: A Tale of Diversity and BiasYue Yu, Yuchen Zhuang, Jieyu Zhang, et al.2023 · 198 citations
16. Merging Models with Fisher-Weighted AveragingMichael Matena, Colin Raffel2021 · 190 citations
17. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsHugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 183 citations
18. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsShengbang Tong, Ellis Brown, Penghao Wu, et al.2024 · 173 citations
19. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelLoubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 171 citations
20. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionCollin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 163 citations
21. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
22. A Roadmap to Pluralistic AlignmentTaylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 135 citations
23. Fanar: An Arabic-Centric Multimodal Generative AI PlatformFanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
24. OpenThoughts: Data Recipes for Reasoning ModelsEtash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 113 citations
25. Olmo 3Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
26. GLM-5: from Vibe Coding to Agentic EngineeringAohan Zeng, Xin Lv, Zhenyu Hou, et al.2026 · 89 citations
27. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsNikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 47 citations
28. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesChaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
29. Observational Scaling Laws and the Predictability of Language Model PerformanceYangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 28 citations
30. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsAlexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 24 citations
31. Distillation Scaling LawsDan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 23 citations
32. StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style ElementsJillian Fisher, Skyler Hallinan, Ximing Lu, et al.2024 · 16 citations
33. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsTomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 14 citations
34. Bilingual Adaptation of Monolingual Foundation ModelsGurpreet Gosal, Yishi Xu, Gokul Ramakrishnan, et al.2024 · 7 citations
35. Arabic Stable LM: Adapting Stable LM 2 1.6B to ArabicZaid Alyafeai, Michael Pieler, Hannah Teufel, et al.2024 · 6 citations
36. Reformulate and Create, Don't Translate: Creating Natural Prompts for Underserved LanguagesAnnika Simonsen, Mathias Stenlund, Lars Bungum, et al.2026 · 1 citation
37. Dialectal Filtering: Synthesizing Kurdish Corpora for Low-Resource Varieties by Utilizing “Noise” in Large Textual DataChristian Schuler, Raman Ahmad, Ānrán Wáng, et al.2026
38. Merge and Conquer: Instructing Multilingual Models by Adding Target Language WeightsEneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al.2026
39. Probing the Dynamics of Syntactic Ability Acquisition Throughout LLM PretrainingHiroshi Matsuda, Masayuki Asahara2026

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