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Andrew O. Arnold

Andrew O. Arnold has 2 papers in our library, in 2021, most of them on Question answering, Summarization; often with Bing Xiang, Dejiao Zhang, Feng Nan.

2 papers in our library · 2021

OpenAlex · h-index 18 · 37 works · 2,805 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 107 times in our library · ⭐ Paper Stars ranking: #3882

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

🏢AmazonSeattle · United States2020–2022 · 8 paperscurrent🎓Carnegie Mellon UniversityPittsburgh · United States2007–2018 · 13 papers🎓Columbia UniversityNew York · United States2002–2021 · 5 papers🎓Chinese University of Hong KongHong Kong · Hong Kong2020–2021 · 2 papers🏢GoogleMountain View · United States2020 · 2 papers

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

 Concepts, shelves and topics

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

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Question answering · 1 workSummarization · 1 work

 Works by year

2020s

20212 papersAndrew O. Arnold's papers of 2021

 Papers

The most cited first (OpenAlex and our library).

  1. Supporting Clustering with Contrastive Learning (2021 · 239 citations)
    Deep clustering methods that rely on distances often fail when semantic categories overlap heavily in the embedding space at the start of training.
  2. Improving Factual Consistency of Abstractive Summarization via Question Answering (2021 · 128 citations)
    Abstractive summarizers such as fine-tuned BART-large often produce fluent summaries that are not supported by the source document or even contradict it. Standard MLE training rewards n-gram overlap, not faithfulness. The authors tackle this problem in two steps.

 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 107 times (of the 141,840 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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