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Michael Y. Hu

Michael Y. Hu has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning; often with Jackson Petty, Tal Linzen, William Merrill.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 65 · 462 works · 17,800 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 15 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #10055

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

🔬Argonne National LaboratoryLemont · United States1997–2026 · 168 paperscurrent🔬Advanced Photon SourceLemont1997–2026 · 162 paperscurrent🎓New York UniversityNew York · United States2023–2026 · 9 paperscurrent🎓Kent State UniversityKent · United States1985–2024 · 111 papers🤝Carnegie Institution for ScienceWashington · United States2002–2009 · 24 papers🔬Carnegie ObservatoriesPasadena · United States2003–2008 · 10 papers🎓University of MinnesotaMinneapolis · United States1993–2018 · 9 papers🎓Georgia Institute of TechnologyAtlanta · United States2015–2025 · 6 papers🔬Geophysical LaboratoryWashington · United States2004–2009 · 6 papers🎓California Institute of TechnologyPasadena · United States2000–2025 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 24 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).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases (2025 · 9 citations)
    Transformer language models need far more data than humans. This paper asks which properties of a formal language make it a useful warm-up before natural-language training, a setup the authors call pre-pretraining. They propose two criteria, drawing on the Chomsky hierarchy and on circuit complexity. First, the…
  2. RELIC: Evaluating Complex Reasoning via the Recognition of Languages In-Context (2026)
    LLMs increasingly have to solve tasks by retrieving and combining many pieces of information from their context.

All works

5 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. Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Michael Y. Hu, Jackson Petty, Chuan Shi, et al.2025 · 9 citations
  2. Latent State Models of Training Dynamics ↗arXiv (Cornell University) · no summary yetMichael Y. Hu et al.2023 · 7 citations
  3. RELIC: Evaluating Complex Reasoning via the Recognition of Languages In-ContextTransactions of the Association for Computational Linguistics (TACL)Jackson Petty, Michael Y. Hu, Wentao Wang, et al.2026
  4. Always Learning, Always Mixing: Efficient and Simple Data Mixing All The Time ↗arXiv (Cornell University) · no summary yetMichael Y. Hu et al.2026
  5. Neural Neural Scaling Laws ↗arXiv (Cornell University) · no summary yetMichael Y. Hu et al.2026

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 15 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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