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Jay DeYoung

Jay DeYoung has 2 papers in our library, in 2019–2020, most of them on Evaluation & benchmarks; often with Byron C. Wallace, Eric Lehman, Caiming Xiong.

2 papers in our library · 2019–2020

OpenAlex · h-index 10 · 24 works · 925 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 341 citations in our library · ⭐ Paper Star rank #2244

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. 2 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. ERASER: A Benchmark to Evaluate Rationalized NLP Models (2020 · 821 citations)
    Research on interpretable NLP models has used different tasks, datasets and evaluation criteria, so methods that justify their predictions are hard to compare.
  2. Inferring Which Medical Treatments Work from Reports of Clinical Trials (2019 · 159 citations)
    Clinical trial results are mostly published as prose. With more than a hundred RCT reports appearing each day, evidence-synthesis groups such as Cochrane cannot keep up. The authors define a task called "evidence inference." A system receives a full-text RCT article and a prompt naming an intervention, a comparator…

 Co-authors here

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

 Cited by

Papers of our library cite their works 341 times (of the 141,840 papers whose bibliographies we read); 29 citing papers with a page here →.

Updated

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