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Cyril Zakka

Cyril Zakka has 2 papers in our library, in 2023–2025, most of them on Vision & language; often with Andres Marafioti, Anton Lozhkov, Eduardo Pontes Reis.

2 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 10 · 32 works · 718 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 290 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7101

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Stanford UniversityStanford · United States2023–2026 · 15 paperscurrent🏥Stanford MedicineStanford · United States2023–2026 · 13 paperscurrent🎓American University of BeirutBeirut · Lebanon2021–2024 · 6 papers🏥American University of Beirut Medical CenterBeirut · Lebanon2021–2024 · 4 papers🏢Hugging FaceNew York · United StatesEmployment

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksMedicine · 1 workHealth Informatics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Vision & language · 2 works

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Med-Flamingo: a Multimodal Medical Few-shot Learner (2023 · 116 citations)
    Medical vision-language models usually need fine-tuning on large labeled downstream sets, but clinical data for many tasks is scarce.
  2. SmolVLM: Redefining small and efficient multimodal models (2025 · 56 citations)
    Most compact vision-language models are shrunken copies of large ones. They inherit memory-hungry choices, such as producing many visual tokens per image, which makes them impractical on phones and edge hardware. The SmolVLM authors at Hugging Face and Stanford redesigned a small VLM from scratch. They paired SmolLM2…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Med-Flamingo: a Multimodal Medical Few-shot LearnerarXiv:2307.15189Michael Moor, Qian Huang, Shirley Wu, et al.2023 · 116 citations
  2. SmolVLM: Redefining small and efficient multimodal modelsarXiv:2504.05299Andres Marafioti, Orr Zohar, Miquel Farre, et al.2025 · 56 citations
  3. MIRIAD: Augmenting LLMs with millions of medical query-response pairs ↗arXiv (Cornell University) · no summary yetQinyue Zheng et al.2025 · 2 citations

 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 290 times (of the 149,439 papers whose bibliographies we read); 67 citing papers with a page here →.

Updated

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