Elamur Research⌕
☰
home / authors / Matthew Barnett

Matthew Barnett

Matthew Barnett has 2 papers in our library, in 2024, most of them on Evaluation & benchmarks, Reasoning; often with Ege Erdil, Tamay Besiroglu, Anson Ho.

2 papers in our library · 2024

OpenAlex · h-index 1 · 4 works · 9 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 106 times in our library · ⭐ Paper Stars ranking: #7655

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

🎓Rutgers, The State University of New JerseyNew Brunswick · United States2024 · 1 papercurrent

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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksComputational Theory and Mathematics · 1 workLanguage and Linguistics · 1 workHardware and Architecture · 1 workInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 1 workReasoning · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Scaling laws · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI (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 (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.

 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 →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/matthew-barnett/