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Eduardo Pontes Reis

Eduardo Pontes Reis has 2 papers in our library, in 2023, most of them on Summarization, Vision & language; often with Anuj Pareek, Jure Leskovec, Michael Moor.

2 papers in our library · 2023

OpenAlex · ORCID · Wikidata · h-index 15 · 43 works · 1,697 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 174 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #2622

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 · 30 paperscurrent🤝Hospital Israelita Albert EinsteinSão Paulo · Brazil2020–2026 · 21 paperscurrent🏥Stanford MedicineStanford · United States2023–2026 · 12 paperscurrent🎓Universidade Estadual de Campinas (UNICAMP)Campinas · Brazil2018–2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksMedicine · 2 worksArtificial Intelligence · 2 worksHealth Informatics · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workComputer Vision and Pattern Recognition · 1 work

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

💡 Concepts 1Key ideas and methods explained on our concept pages.Text summarization · 1 work

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization (2023 · 931 citations)
    Clinicians lose a large share of their working time to documentation, and summarizing records is a major part of it.
  2. 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.

All works

5 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. Adapted Large Language Models Can Outperform Medical Experts in Clinical Text SummarizationarXiv:2309.07430 · Nature Medicine, 2024Dave Van Veen, Cara Van Uden, Louis Blankemeier, et al.2023 · 931 citations
  2. Med-Flamingo: a Multimodal Medical Few-shot LearnerarXiv:2307.15189Michael Moor, Qian Huang, Shirley Wu, et al.2023 · 116 citations
  3. MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetScott L. Fleming et al.2024 · 82 citations
  4. MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks ↗arXiv (Cornell University) · no summary yetSuhana Bedi et al.2025 · 22 citations
  5. 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

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 174 times (of the 149,439 papers whose bibliographies we read); 40 citing papers with a page here →.

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