Hattie Zhou

Hattie Zhou has 2 papers in our library, in 2022–2023, most of them on Language models & pretraining, Reasoning; often with Aaron Courville, Azade Nova, Behnam Neyshabur.

2 papers in our library · 2022–2023

The profile is the library's match of the name; two people with one name are not always told apart.

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

Teaching Algorithmic Reasoning via In-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.
What Algorithms can Transformers Learn? A Study in Length Generalization (2023 · 67 citations)
Transformers trained from scratch often fail to extend algorithmic skills to inputs longer than those seen in training, yet occasionally succeed.

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

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 →.

Updated 2 November 2026