---
title: "Catherine Arnett — author profile and papers in our library"
description: "Catherine Arnett, IBM: 4 papers on Elamur Research (2024–2026), h-index 3 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/catherine-arnett/"
---
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# Catherine Arnett

Catherine Arnett has 4 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/); often with [Benjamin Bergen](https://md.research.elamur.ai/free/en/authors/benjamin-bergen/), [Akshat Gupta](https://md.research.elamur.ai/free/en/authors/akshat-gupta/), [Atnafu Lambebo Tonja](https://md.research.elamur.ai/free/en/authors/atnafu-lambebo-tonja/).

4 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5093063060) · [**h-index 3**](https://openalex.org/authors/A5093063060) · [41 works](https://openalex.org/works?filter=author.id:A5093063060) · [46 citations](https://openalex.org/works?filter=author.id:A5093063060&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/catherine-arnett/#papers) · [🔗 Cited 119 times in our library](https://md.research.elamur.ai/free/en/authors/catherine-arnett/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6267](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6267)

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

## Affiliations

[🎓**University of California, Berkeley** Berkeley · United States 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🏢**IBM** Armonk · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/ibm/) · [🎓**University of California San Diego** San Diego · United States 2023–2024 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/)

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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 2 works](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Morphology · 1 work](https://md.research.elamur.ai/free/en/topics/morphology/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/catherine-arnett/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/catherine-arnett/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/catherine-arnett/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/chang-2024-when-is-multilinguality-curse-language/)** *(2024 · 87 citations)* Multilingual language models are often used to support low-resource languages, but there is little direct evidence about how sharing a model with other languages affects modeling quality in any single language.
2. **[Why do language models perform worse for morphologically complex languages?](https://md.research.elamur.ai/free/en/papers/arnett-2025-why-do-language-models-perform/)** *(2025 · 53 citations)* Language models tend to perform better on fusional languages such as English than on agglutinative ones such as Turkish.
3. **[CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data](https://md.research.elamur.ai/free/en/papers/suarez-2026-commonlid-re-evaluating-state-art/)** *(2026 · 3 citations)* Language identification (LID) is often treated as a solved task. In practice, it remains unreliable for many languages on noisy, mixed web text, which is the main source of multilingual pre-training corpora. Most existing benchmarks, such as FLORES, UDHR and Bible data, are clean, translated or religious, so they…
4. **[Weight Tying Biases Token Embeddings Towards the Output Space](https://md.research.elamur.ai/free/en/papers/lopardo-2026-weight-tying-biases-token-embeddings/)** *(2026)* Many language models share one matrix between the input embedding and the output (unembedding) layer, but it has been unclear what this sharing does to the learned representations.

## All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. **[When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/chang-2024-when-is-multilinguality-curse-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tyler A. Chang, Catherine Arnett, Zhuowen Tu, et al.*2024 · 87 citations*
2. **[Why do language models perform worse for morphologically complex languages?](https://md.research.elamur.ai/free/en/papers/arnett-2025-why-do-language-models-perform/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Catherine Arnett, Benjamin Bergen*2025 · 53 citations*
3. **[CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data](https://md.research.elamur.ai/free/en/papers/suarez-2026-commonlid-re-evaluating-state-art/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pedro Ortiz Suarez, Laurie Burchell, Catherine Arnett, et al.*2026 · 3 citations*
4. **[Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs ↗](https://arxiv.org/abs/2605.09063) arXiv:2605.09063 · no summary yet**Guijin Son et al.*2026 · 1 citation*
5. **[Weight Tying Biases Token Embeddings Towards the Output Space](https://md.research.elamur.ai/free/en/papers/lopardo-2026-weight-tying-biases-token-embeddings/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Antonio Lopardo, Avyukth Harish, Catherine Arnett, et al.*2026*

## Co-authors here

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

- [Benjamin Bergen](https://md.research.elamur.ai/free/en/authors/benjamin-bergen/) ×2
- [Akshat Gupta](https://md.research.elamur.ai/free/en/authors/akshat-gupta/)
- [Atnafu Lambebo Tonja](https://md.research.elamur.ai/free/en/authors/atnafu-lambebo-tonja/)
- [Idris Abdulmumin](https://md.research.elamur.ai/free/en/authors/idris-abdulmumin/)
- [Laurie Burchell](https://md.research.elamur.ai/free/en/authors/laurie-burchell/)
- [Malte Ostendorff](https://md.research.elamur.ai/free/en/authors/malte-ostendorff/)
- [Pedro Ortiz Suarez](https://md.research.elamur.ai/free/en/authors/pedro-ortiz-suarez/)
- [Shamsuddeen Hassan Muhammad](https://md.research.elamur.ai/free/en/authors/shamsuddeen-hassan-muhammad/)
- [Tyler A. Chang](https://md.research.elamur.ai/free/en/authors/tyler-a-chang/)
- [Vukosi Marivate](https://md.research.elamur.ai/free/en/authors/vukosi-marivate/)
- [Zhuowen Tu](https://md.research.elamur.ai/free/en/authors/zhuowen-tu/)

## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 119 times (of the 149,439 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/catherine-arnett/cited-by/).

Updated 1 November 2026
