--- title: "Hattie Zhou — author profile and papers — Elamur Research" description: "Hattie Zhou, Mila - Quebec Artificial Intelligence Institute: 2 papers on Elamur Research (2022–2023), h-index 4 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/hattie-zhou/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hattie-zhou/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hattie Zhou # Hattie Zhou Hattie Zhou has 2 papers in our library, in 2022–2023, 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 [Aaron Courville](https://md.research.elamur.ai/free/en/authors/aaron-courville/), [Azade Nova](https://md.research.elamur.ai/free/en/authors/azade-nova/), [Behnam Neyshabur](https://md.research.elamur.ai/free/en/authors/behnam-neyshabur/). 2 papers in our library · 2022–2023 [OpenAlex](https://openalex.org/A5075759362) · [ORCID](https://orcid.org/0009-0005-4502-3489) · [**h-index 4**](https://openalex.org/authors/A5075759362) · [13 works](https://openalex.org/works?filter=author.id:A5075759362) · [157 citations](https://openalex.org/works?filter=author.id:A5075759362&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/hattie-zhou/#papers) · [🔗 Cited 132 times in our library](https://md.research.elamur.ai/free/en/authors/hattie-zhou/cited-by/) · [⭐ Paper Stars ranking: #6916](https://md.research.elamur.ai/free/en/paper-stars/page/70/#star-6916) 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=Hattie+Zhou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hattie+Zhou) · [dblp](https://dblp.org/search?q=Hattie+Zhou) · [ACL Anthology](https://aclanthology.org/search/?q=Hattie+Zhou) ## Affiliations [🔬**Mila - Quebec Artificial Intelligence Institute** Montreal · Canada 2022–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/mila-quebec-artificial-intelligence-institute/) · [🎓**McGill University** Montreal · Canada 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/mcgill-university/) · [🎓**Université de Montréal** Montreal · Canada 2022–2025 · 7 papers](https://md.research.elamur.ai/free/en/universities/universite-de-montreal/) 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 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 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/) 🧭 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 [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/hattie-zhou/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/hattie-zhou/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[Teaching Algorithmic Reasoning via In-context Learning](https://md.research.elamur.ai/free/en/papers/zhou-2022-teaching-algorithmic-reasoning-context-learning/)** *(2022 · 96 citations)* Large language models can generalize to new tasks from prompt examples, yet they still fail at algorithmic problems such as parity or multi-digit arithmetic, especially on inputs longer than those in the prompt. 2. **[What Algorithms can Transformers Learn? A Study in Length Generalization](https://md.research.elamur.ai/free/en/papers/zhou-2023-algorithms-transformers-learn-study-length/)** *(2023 · 67 citations)* Transformers trained from scratch often fail to extend algorithmic skills to inputs longer than those seen in training, yet occasionally succeed. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Aaron Courville](https://md.research.elamur.ai/free/en/authors/aaron-courville/) - [Azade Nova](https://md.research.elamur.ai/free/en/authors/azade-nova/) - [Behnam Neyshabur](https://md.research.elamur.ai/free/en/authors/behnam-neyshabur/) - [Etai Littwin](https://md.research.elamur.ai/free/en/authors/etai-littwin/) - [Samy Bengio](https://md.research.elamur.ai/free/en/authors/samy-bengio/) ## Cited by Papers of our library cite their works 132 times (of the 149,439 papers whose bibliographies we read); [31 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hattie-zhou/cited-by/). Updated 2 November 2026