---
title: "Michael Y. Hu — author profile and papers — Elamur Research"
description: "Michael Y. Hu, Argonne National Laboratory: 2 papers on Elamur Research (2025–2026), h-index 65 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/michael-y-hu/"
---
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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](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jackson Petty](https://md.research.elamur.ai/free/en/authors/jackson-petty/), [Tal Linzen](https://md.research.elamur.ai/free/en/authors/tal-linzen/), [William Merrill](https://md.research.elamur.ai/free/en/authors/william-merrill/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5045250992) · [ORCID](https://orcid.org/0000-0002-3718-7169) · [Wikidata](https://www.wikidata.org/wiki/Q59674072) · [**h-index 65**](https://openalex.org/authors/A5045250992) · [462 works](https://openalex.org/works?filter=author.id:A5045250992) · [17,800 citations](https://openalex.org/works?filter=author.id:A5045250992&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/michael-y-hu/#papers) · [🔗 Cited 15 times in our library](https://md.research.elamur.ai/free/en/authors/michael-y-hu/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10055](https://md.research.elamur.ai/free/en/paper-stars/page/101/#star-10055)

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

## Affiliations

[🔬**Argonne National Laboratory** Lemont · United States 1997–2026 · 168 papers*current*](https://md.research.elamur.ai/free/en/labs/argonne-national-laboratory/) · [🔬**Advanced Photon Source** Lemont 1997–2026 · 162 papers*current*](https://ror.org/04qxsr837) · [🎓**New York University** New York · United States 2023–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/new-york-university/) · [🎓**Kent State University** Kent · United States 1985–2024 · 111 papers](https://ror.org/049pfb863) · [🤝**Carnegie Institution for Science** Washington · United States 2002–2009 · 24 papers](https://ror.org/04jr01610) · [🔬**Carnegie Observatories** Pasadena · United States 2003–2008 · 10 papers](https://ror.org/03h4zjr91) · [🎓**University of Minnesota** Minneapolis · United States 1993–2018 · 9 papers](https://md.research.elamur.ai/free/en/universities/university-of-minnesota/) · [🎓**Georgia Institute of Technology** Atlanta · United States 2015–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🔬**Geophysical Laboratory** Washington · United States 2004–2009 · 6 papers](https://ror.org/05qyye271) · [🎓**California Institute of Technology** Pasadena · United States 2000–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/california-institute-of-technology/)

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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

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

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/michael-y-hu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/michael-y-hu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases](https://md.research.elamur.ai/free/en/papers/hu-2025-between-circuits-chomsky-pre-pretraining/)** *(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](https://md.research.elamur.ai/free/en/papers/petty-2026-relic-evaluating-complex-reasoning-recognition/)** *(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 Biases](https://md.research.elamur.ai/free/en/papers/hu-2025-between-circuits-chomsky-pre-pretraining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michael Y. Hu, Jackson Petty, Chuan Shi, et al.*2025 · 9 citations*
2. **[Latent State Models of Training Dynamics ↗](https://arxiv.org/abs/2308.09543) arXiv (Cornell University) · no summary yet**Michael Y. Hu et al.*2023 · 7 citations*
3. **[RELIC: Evaluating Complex Reasoning via the Recognition of Languages In-Context](https://md.research.elamur.ai/free/en/papers/petty-2026-relic-evaluating-complex-reasoning-recognition/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jackson Petty, Michael Y. Hu, Wentao Wang, et al.*2026*
4. **[Always Learning, Always Mixing: Efficient and Simple Data Mixing All The Time ↗](https://arxiv.org/abs/2605.15220) arXiv (Cornell University) · no summary yet**Michael Y. Hu et al.*2026*
5. **[Neural Neural Scaling Laws ↗](https://arxiv.org/abs/2601.19831) arXiv (Cornell University) · no summary yet**Michael Y. Hu et al.*2026*

## Co-authors here

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

- [Jackson Petty](https://md.research.elamur.ai/free/en/authors/jackson-petty/) ×2
- [Tal Linzen](https://md.research.elamur.ai/free/en/authors/tal-linzen/) ×2
- [William Merrill](https://md.research.elamur.ai/free/en/authors/william-merrill/) ×2
- [Chuan Shi](https://md.research.elamur.ai/free/en/authors/chuan-shi/)
- [Shauli Ravfogel](https://md.research.elamur.ai/free/en/authors/shauli-ravfogel/)
- [Wentao Wang](https://md.research.elamur.ai/free/en/authors/wentao-wang/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2026](https://md.research.elamur.ai/free/en/venues/tacl/2026/)

## 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 →](https://md.research.elamur.ai/free/en/authors/michael-y-hu/cited-by/).

Updated 1 November 2026
