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Anson Ho

Anson Ho has 2 papers in our library, in 2022–2024, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Tamay Besiroglu, Ege Erdil, Matthew Barnett.

2 papers in our library · 2022–2024

OpenAlex · ORCID · h-index 7 · 17 works · 633 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 233 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5591

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

🎓University of TorontoToronto · Canada2026 · 1 papercurrent🎓University of WaterlooWaterloo · Canada2013–2017 · 3 papers
🏛️EpochMontreal · Canada2021Employment since 2021 · Staff Researcher
🎓University of St AndrewsSt Andrews · United Kingdom2018–2021Education 2018–2021 · BSc (Hons) Physics, School of Physics and AstronomyEmployment 2021 · Summer intern, School of Physics and Astronomy

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputational Theory and Mathematics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workEvaluation & benchmarks · 1 workReasoning · 1 work

 Works by year

2020s

20241 paper20221 paper

 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 (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 (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.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Will we run out of data? Limits of LLM scaling based on human-generated dataarXiv:2211.04325Pablo Villalobos, Anson Ho, Jaime Sevilla, et al.2022 · 198 citations
  2. FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AIarXiv:2411.04872Elliot Glazer, Ege Erdil, Tamay Besiroglu, et al.2024 · 97 citations
  3. International AI Safety Report ↗arXiv (Cornell University) · no summary yetYoshua Bengio et al.2025 · 41 citations

 Co-authors here

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

 Cited by

Papers of our library cite their works 233 times (of the 149,439 papers whose bibliographies we read); 51 citing papers with a page here →.

Updated

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