---
title: "Charles Staats — author profile and papers — Elamur Research"
description: "Charles Staats, University of Edinburgh: 2 papers on Elamur Research (2022–2024), h-index 3 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/charles-staats/"
---
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# Charles Staats

Charles Staats has 2 papers in our library, in 2022–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Christian Szegedy](https://md.research.elamur.ai/free/en/authors/christian-szegedy/), [Wenda Li](https://md.research.elamur.ai/free/en/authors/wenda-li/), [Yuhuai Wu](https://md.research.elamur.ai/free/en/authors/yuhuai-wu/).

2 papers in our library · 2022–2024

[OpenAlex](https://openalex.org/A5058579129) · [**h-index 3**](https://openalex.org/authors/A5058579129) · [7 works](https://openalex.org/works?filter=author.id:A5058579129) · [85 citations](https://openalex.org/works?filter=author.id:A5058579129&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/charles-staats/#papers) · [🔗 Cited 204 times in our library](https://md.research.elamur.ai/free/en/authors/charles-staats/cited-by/) · [⭐ Paper Stars ranking: #6199](https://md.research.elamur.ai/free/en/paper-stars/page/62/#star-6199)

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=Charles+Staats) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Charles+Staats) · [dblp](https://dblp.org/search?q=Charles+Staats) · [ACL Anthology](https://aclanthology.org/search/?q=Charles+Staats)

## Affiliations

[🎓**University of Edinburgh** Edinburgh · United Kingdom 2024 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) · [🏢**Google** Mountain View · United States 2021–2022 · 3 papers](https://md.research.elamur.ai/free/en/companies/google/)

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

## 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).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computational Theory and Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [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/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/charles-staats/year/2024/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/charles-staats/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Autoformalization with Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2022-autoformalization-large-language-models/)** *(2022 · 204 citations)* Turning informal mathematics into machine-checkable form normally requires expert effort, and very little aligned data exists that pairs natural-language math with formal code.
2. **[Don't Trust: Verify — Grounding LLM Quantitative Reasoning with Autoformalization](https://md.research.elamur.ai/free/en/papers/zhou-2024-don-t-trust-verify-grounding/)** *(2024 · 45 citations)* LLMs such as Minerva and GPT-3.5 can produce step-by-step solutions to math word problems, but these often contain arithmetic slips or unjustified logical jumps.

## Co-authors here

8 co-authors with a page, the most papers together first.

- [Christian Szegedy](https://md.research.elamur.ai/free/en/authors/christian-szegedy/) ×2
- [Wenda Li](https://md.research.elamur.ai/free/en/authors/wenda-li/) ×2
- [Yuhuai Wu](https://md.research.elamur.ai/free/en/authors/yuhuai-wu/) ×2
- [Albert Q. Jiang](https://md.research.elamur.ai/free/en/authors/albert-q-jiang/)
- [Jin Peng Zhou](https://md.research.elamur.ai/free/en/authors/jin-peng-zhou/)
- [Kilian Q. Weinberger](https://md.research.elamur.ai/free/en/authors/kilian-q-weinberger/)
- [Markus N. Rabe](https://md.research.elamur.ai/free/en/authors/markus-n-rabe/)
- [Mateja Jamnik](https://md.research.elamur.ai/free/en/authors/mateja-jamnik/)

## Cited by

Papers of our library cite their works 204 times (of the 149,439 papers whose bibliographies we read); [92 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/charles-staats/cited-by/).

Updated 3 November 2026
