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Curtis P. Langlotz

Curtis P. Langlotz has 2 papers in our library, in 2020, most of them on Summarization, English; often with Christopher D. Manning, Yuhao Zhang, Peng Qi.

2 papers in our library · 2020

OpenAlex · ORCID · Wikidata · h-index 69 · 348 works · 24,423 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 555 times in our library · 7 more in our library without a page yet · ⭐ Paper Stars ranking: #5198

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 39 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports (2020 · 241 citations)
    Abstractive summarizers trained to match human references can score well on overlap metrics like ROUGE and still state wrong facts.
  2. Biomedical and Clinical English Model Packages in the Stanza Python NLP Library (2020 · 24 citations)
    General-purpose NLP toolkits handle biomedical and clinical English poorly, and domain-specific tools often lack modern neural models or native Python support.

All works

9 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. CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJeremy Irvin et al.2019 · 523 citations
  2. Contrastive Learning of Medical Visual Representations from Paired Images and Text ↗arXiv (Cornell University) · no summary yetYuhao Zhang et al.2020 · 326 citations
  3. Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetYasuhide Miura et al.2021 · 186 citations
  4. Learning to Summarize Radiology Findings ↗Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis · no summary yetYuhao Zhang et al.2018 · 169 citations
  5. Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetJean-Benoit Delbrouck et al.2022 · 99 citations
  6. GREEN: Generative Radiology Report Evaluation and Error Notation ↗Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yetSophie Ostmeier et al.2024 · 78 citations
  7. Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation ↗arXiv:2403.08002 · Nature Communications volume 16, Article number: 3108 (2025) · no summary yetJuan Manuel Zambrano Chaves et al.2024 · 57 citations
  8. Biomedical and Clinical English Model Packages in the Stanza Python NLP LibraryarXiv:2007.14640Yuhao Zhang, Yuhui Zhang, Peng Qi, et al.2020 · 24 citations

 Co-authors here

4 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 555 times (of the 149,439 papers whose bibliographies we read); 47 citing papers with a page here →.

Updated

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