---
title: "Robert Frank — papers of 2023 — 3 papers, the most cited first"
description: "Robert Frank — papers of 2023: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/robert-frank/year/2023/"
---
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# Robert Frank — papers of 2023 — 3 papers, the most cited first

3 papers · [all years of Robert Frank](https://md.research.elamur.ai/free/en/authors/robert-frank/#years)

**[How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech](https://md.research.elamur.ai/free/en/papers/yedetore-2023-how-poor-is-stimulus-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aditya Yedetore, Tal Linzen, Robert Frank, et al.*2023 · 49 citations*

**[How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument Structure](https://md.research.elamur.ai/free/en/papers/wilson-2023-how-abstract-is-linguistic-generalization/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Michael Wilson, Jackson Petty, Robert Frank*2023 · 29 citations*

- [Subject-verb agreement with Seq2Seq transformers: Bigger is better, but still not best](https://md.research.elamur.ai/free/en/papers/wilson-2023-subject-verb-agreement-seq2seq-transformers/) — Michael Wilson, Zhenghao Zhou, Robert Frank · Mova's core list · 3 citations