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Jeff Da

Jeff Da has 2 papers in our library, in 2020–2023, most of them on Evaluation & benchmarks, Reasoning, Knowledge graphs & ontologies; often with Jena D. Hwang, Yejin Choi, Ana Marasovic.

2 papers in our library · 2020–2023

OpenAlex · h-index 8 · 22 works · 446 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 365 citations in our library · 1 more in our library without a page yet · ⭐ Paper Star rank #4009

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

🎓Hochschule AalenAalen · Germany2026 · 1 papercurrent🎓University of WashingtonSeattle · United States2019–2023 · 9 papers🔬Allen Institute for Artificial IntelligenceSeattle · United States2021–2022 · 5 papers🎓Stanford UniversityStanford · United States2020–2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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.

💡 Concepts 1 Knowledge representation and reasoning · 1 work

📚 Shelves 7 Computer Science · 2 works Artificial Intelligence · 2 works Computer Vision and Pattern Recognition · 2 works Arts and Humanities · 1 work Psychology · 1 work Language and Linguistics · 1 work Social Psychology · 1 work

🧭 Topics 3 Evaluation & benchmarks · 1 work Knowledge graphs & ontologies · 1 work Reasoning · 1 work

 Works by year

2020s

20231 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs (2020 · 236 citations)
    The paper argues that hand-built commonsense knowledge graphs can never cover everything an NLP system will meet.
  2. Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest (2023 · 107 citations)
    The paper asks whether today's AI systems grasp humor or merely produce joke-like text. To probe this, the authors build three benchmarks from 14 years of the weekly New Yorker Cartoon Caption Contest, each harder than the last. The first is matching : pick the caption actually written for a cartoon out of five…

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. COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge GraphsJena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.Mova's core list · 236 citations
  2. Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption ContestJack Hessel, Ana Marasovic, Jena D. Hwang, et al.Annual Meeting of the Association for… · 107 citations
  3. A Careful Examination of Large Language Model Performance on Grade School Arithmetic (original ↗)Hugh Zhang et al.2024 · arXiv:2405.00332 · 98 citations · no summary yet

 Co-authors here

10 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 365 times (of the 141,840 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jeff-da/