---
title: "Tamay Besiroglu — author profile and papers in our library"
description: "Tamay Besiroglu, MIT Computer Science and Artificial Intelligence Laboratory: 3 papers on Elamur Research (2022–2024), h-index 9…"
canonical: "https://research.elamur.ai/free/en/authors/tamay-besiroglu/"
---
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# Tamay Besiroglu

Tamay Besiroglu has 3 papers in our library, in 2022–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Anson Ho](https://md.research.elamur.ai/free/en/authors/anson-ho/), [Ege Erdil](https://md.research.elamur.ai/free/en/authors/ege-erdil/), [Matthew Barnett](https://md.research.elamur.ai/free/en/authors/matthew-barnett/).

3 papers in our library · 2022–2024

[OpenAlex](https://openalex.org/A5009016780) · [ORCID](https://orcid.org/0000-0001-5808-3185) · [Wikidata](https://www.wikidata.org/wiki/Q104479148) · [**h-index 9**](https://openalex.org/authors/A5009016780) · [39 works](https://openalex.org/works?filter=author.id:A5009016780) · [1,991 citations](https://openalex.org/works?filter=author.id:A5009016780&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/tamay-besiroglu/#papers) · [🔗 Cited 288 times in our library](https://md.research.elamur.ai/free/en/authors/tamay-besiroglu/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5438](https://md.research.elamur.ai/free/en/paper-stars/page/55/#star-5438)

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

## Affiliations

[🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2022–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2022–2024 · 11 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2020 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

## 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [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 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [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/tamay-besiroglu/year/2024/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/tamay-besiroglu/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Will we run out of data? Limits of LLM scaling based on human-generated data](https://md.research.elamur.ai/free/en/papers/villalobos-2022-will-run-out-data-limits/)** *(2022 · 198 citations)* Scaling laws push LLM developers toward ever-larger training sets, which raises the question of whether public human-written text will eventually run out.
2. **[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.
3. **[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…

## All works

6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims ↗](https://arxiv.org/abs/2004.07213) arXiv:2004.07213 · no summary yet**Miles Brundage et al.*2020 · 320 citations*
2. [**Will we run out of data? Limits of LLM scaling based on human-generated data arXiv:2211.04325**Pablo Villalobos, Anson Ho, Jaime Sevilla, et al.*2022 · 198 citations*](https://md.research.elamur.ai/free/en/papers/villalobos-2022-will-run-out-data-limits/)
3. [**FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI arXiv:2411.04872**Elliot Glazer, Ege Erdil, Tamay Besiroglu, et al.*2024 · 97 citations*](https://md.research.elamur.ai/free/en/papers/glazer-2024-frontiermath-benchmark-evaluating-advanced-mathematical/)
4. **[International AI Safety Report ↗](https://arxiv.org/abs/2501.17805) arXiv (Cornell University) · no summary yet**Yoshua Bengio et al.*2025 · 41 citations*
5. [**Chinchilla Scaling: A replication attempt arXiv:2404.10102**Tamay Besiroglu, Ege Erdil, Matthew Barnett, et al.*2024 · 18 citations*](https://md.research.elamur.ai/free/en/papers/besiroglu-2024-chinchilla-scaling-replication-attempt/)
6. **[International Scientific Report on the Safety of Advanced AI (Interim Report) ↗](https://arxiv.org/abs/2412.05282) arXiv (Cornell University) · no summary yet**Yoshua Bengio et al.*2024 · 13 citations*

## Co-authors here

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

- [Anson Ho](https://md.research.elamur.ai/free/en/authors/anson-ho/) ×2
- [Ege Erdil](https://md.research.elamur.ai/free/en/authors/ege-erdil/) ×2
- [Matthew Barnett](https://md.research.elamur.ai/free/en/authors/matthew-barnett/) ×2

## Cited by

Papers of our library cite their works 288 times (of the 149,439 papers whose bibliographies we read); [65 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tamay-besiroglu/cited-by/).

Updated 2 November 2026
