---
title: "Matthew Barnett — author profile and papers in our library"
description: "Matthew Barnett, Rutgers, The State University of New Jersey: 2 papers on Elamur Research (2024), h-index 1 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/matthew-barnett/"
---
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# Matthew Barnett

Matthew Barnett has 2 papers in our library, in 2024, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Ege Erdil](https://md.research.elamur.ai/free/en/authors/ege-erdil/), [Tamay Besiroglu](https://md.research.elamur.ai/free/en/authors/tamay-besiroglu/), [Anson Ho](https://md.research.elamur.ai/free/en/authors/anson-ho/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5111175763) · [**h-index 1**](https://openalex.org/authors/A5111175763) · [4 works](https://openalex.org/works?filter=author.id:A5111175763) · [9 citations](https://openalex.org/works?filter=author.id:A5111175763&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/matthew-barnett/#papers) · [🔗 Cited 106 times in our library](https://md.research.elamur.ai/free/en/authors/matthew-barnett/cited-by/) · [⭐ Paper Stars ranking: #7655](https://md.research.elamur.ai/free/en/paper-stars/page/77/#star-7655)

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

## Affiliations

[🎓**Rutgers, The State University of New Jersey** New Brunswick · United States 2024 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/rutgers-the-state-university-of-new-jersey/)

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 7 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

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

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Scaling laws · 1 work](https://md.research.elamur.ai/free/en/concepts/scaling-laws/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/matthew-barnett/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI](https://md.research.elamur.ai/free/en/papers/glazer-2024-frontiermath-benchmark-evaluating-advanced-mathematical/)** *(2024 · 97 citations)* Popular math benchmarks such as MATH and GSM8K mostly test high-school or early-undergraduate skills, and leading models now score near the ceiling on them.
2. **[Chinchilla Scaling: A replication attempt](https://md.research.elamur.ai/free/en/papers/besiroglu-2024-chinchilla-scaling-replication-attempt/)** *(2024 · 18 citations)* Hoffmann et al. (2022), the Chinchilla paper, estimated compute-optimal scaling for language models in three ways. The third, Approach 3, fits a parametric loss L(N, D) = E + A/N^α + B/D^β, where N is parameter count and D is training tokens. Epoch AI researchers checked whether this fit holds up. The original data…

## Co-authors here

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

- [Ege Erdil](https://md.research.elamur.ai/free/en/authors/ege-erdil/) ×2
- [Tamay Besiroglu](https://md.research.elamur.ai/free/en/authors/tamay-besiroglu/) ×2
- [Anson Ho](https://md.research.elamur.ai/free/en/authors/anson-ho/)

## Cited by

Papers of our library cite their works 106 times (of the 149,439 papers whose bibliographies we read); [24 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/matthew-barnett/cited-by/).

Updated 2 November 2026
