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Nathan Stringham

Nathan Stringham has 2 papers in our library, in 2020–2026, most of them on Language models & pretraining, Low-resource languages, Evaluation & benchmarks; often with Ana Marasovic, Fateme Hashemi Chaleshtori, Zhichao Xu.

2 papers in our library · 2020–2026

OpenAlex · h-index 2 · 10 works · 7 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 4 times in our library · ⭐ Paper Stars ranking: #10171

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

🎓University of UtahSalt Lake City · United States2023–2026 · 5 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 5Research subjects and languages the work is about.Biblical Hebrew · 1 workEvaluation & benchmarks · 1 workHebrew & Aramaic · 1 workLow-resource languages · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Evaluating Word Embeddings on Low-Resource Languages (2020 · 8 citations)
    The analogy task (Mikolov et al.) is the usual way to tune word-embedding hyperparameters, but it needs very large training corpora and presumes analogies exist in the language.
  2. Teaching People LLM's Errors and Getting it Right (2026)
    Users often trust LLMs on tasks the models handle poorly. An earlier approach, the AI-integration teaching pipeline of Mozannar et al. (2023), tried to fix this. It finds regions where a model tends to fail, describes them in natural language and teaches users to avoid the model there. However, it gave no gains for…

 Co-authors here

3 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 4 times (of the 149,439 papers whose bibliographies we read).

Updated

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