---
title: "Nathan Stringham — author profile and papers in our library"
description: "Nathan Stringham, University of Utah: 2 papers on Elamur Research (2020–2026), h-index 2 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/nathan-stringham/"
---
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# Nathan Stringham

Nathan Stringham has 2 papers in our library, in 2020–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Ana Marasovic](https://md.research.elamur.ai/free/en/authors/ana-marasovic/), [Fateme Hashemi Chaleshtori](https://md.research.elamur.ai/free/en/authors/fateme-hashemi-chaleshtori/), [Zhichao Xu](https://md.research.elamur.ai/free/en/authors/zhichao-xu/).

2 papers in our library · 2020–2026

[OpenAlex](https://openalex.org/A5081857577) · [**h-index 2**](https://openalex.org/authors/A5081857577) · [10 works](https://openalex.org/works?filter=author.id:A5081857577) · [7 citations](https://openalex.org/works?filter=author.id:A5081857577&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/nathan-stringham/#papers) · 🔗 Cited 4 times in our library · [⭐ Paper Stars ranking: #10171](https://md.research.elamur.ai/free/en/paper-stars/page/102/#star-10171)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Nathan+Stringham) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nathan+Stringham) · [dblp](https://dblp.org/search?q=Nathan+Stringham) · [ACL Anthology](https://aclanthology.org/search/?q=Nathan+Stringham)

## Affiliations

[🎓**University of Utah** Salt Lake City · United States 2023–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-utah/)

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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 5 Research subjects and languages the work is about.[Biblical Hebrew · 1 work](https://md.research.elamur.ai/free/en/topics/biblical-hebrew/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Hebrew & Aramaic · 1 work](https://md.research.elamur.ai/free/en/topics/hebrew-aramaic/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/nathan-stringham/year/2026/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/nathan-stringham/year/2020/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Evaluating Word Embeddings on Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/stringham-2020-evaluating-word-embeddings-low-resource/)** *(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](https://md.research.elamur.ai/free/en/papers/stringham-2026-teaching-people-llm-s-errors/)** *(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.

- [Ana Marasovic](https://md.research.elamur.ai/free/en/authors/ana-marasovic/)
- [Fateme Hashemi Chaleshtori](https://md.research.elamur.ai/free/en/authors/fateme-hashemi-chaleshtori/)
- [Zhichao Xu](https://md.research.elamur.ai/free/en/authors/zhichao-xu/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Workshop on Evaluation and Comparison of NLP Systems](https://md.research.elamur.ai/free/en/venues/eval4nlp/): [Workshop on Evaluation and Comparison of NLP Systems 2020](https://md.research.elamur.ai/free/en/venues/eval4nlp/2020/)
- [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/): [Workshop on Trustworthy NLP 2026](https://md.research.elamur.ai/free/en/venues/trustnlp/2026/)

## Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
