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.
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
Affiliations
🔬Allen Institute for Artificial IntelligenceSeattle ·
United States2021–2026 · 4 papers🎓Northeastern UniversityBoston ·
United States2019–2024 · 15 papers🎓Johns Hopkins UniversityBaltimore ·
United States2015–2016 · 2 papers
Concepts, shelves and topics
📚 Shelves 6 Artificial Intelligence · 2 works Arts and Humanities · 2 works Computer Science · 2 works Language and Linguistics · 2 works Biochemistry, Genetics and Molecular Biology · 1 work Molecular Biology · 1 work
🧭 Topics 1 Evaluation & benchmarks · 1 work
Works by year
2020s
2010s
Papers
- 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. - 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
- Byron C. Wallace ×2
- Eric Lehman ×2
- Caiming Xiong
- Nazneen Fatema Rajani
- Regina Barzilay
- Richard Socher
- Sarthak Jain
Cited by
Updated
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