---
title: "Sara Hooker — author profile and papers — Elamur Research"
description: "Sara Hooker, Cohere: 4 papers on Elamur Research (2022–2025), h-index 21 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/sara-hooker/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sara-hooker/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sara Hooker

# Sara Hooker

Sara Hooker has 4 papers in our library, in 2022–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Implicature](https://md.research.elamur.ai/free/en/topics/implicature/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Acyr Locatelli](https://md.research.elamur.ai/free/en/authors/acyr-locatelli/), [Ahmet Ustun](https://md.research.elamur.ai/free/en/authors/ahmet-ustun/), [Andiswa Bukula](https://md.research.elamur.ai/free/en/authors/andiswa-bukula/).

4 papers in our library · 2022–2025

[OpenAlex](https://openalex.org/A5078850040) · [ORCID](https://orcid.org/0000-0002-0190-6459) · [Wikidata](https://www.wikidata.org/wiki/Q107742361) · [**h-index 21**](https://openalex.org/authors/A5078850040) · [120 works](https://openalex.org/works?filter=author.id:A5078850040) · [3,052 citations](https://openalex.org/works?filter=author.id:A5078850040&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/sara-hooker/#papers) · [🔗 Cited 1,574 times in our library](https://md.research.elamur.ai/free/en/authors/sara-hooker/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3886](https://md.research.elamur.ai/free/en/paper-stars/page/39/#star-3886)

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

## Affiliations

[🏢**Cohere** San Francisco 2022–2026 · 23 papersEmployment*current*](https://md.research.elamur.ai/free/en/companies/cohere/) · [🏢**Google** Mountain View · United States 2019–2023 · 13 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Université de Montréal** Montreal · Canada 2025 · 1 paperEducation](https://md.research.elamur.ai/free/en/universities/universite-de-montreal/) · [🎓**Carleton College** Northfield · United States 2013Education until 2013](https://ror.org/03jep7677)

🏛️**Google Brain** [United States](https://md.research.elamur.ai/free/en/countries/united-states/) Employment

🏛️**Waterford Kamhlaba** Hhohho Region · Eswatini Education

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Implicature · 1 work](https://md.research.elamur.ai/free/en/topics/implicature/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Implicature · 1 work](https://md.research.elamur.ai/free/en/concepts/implicature/)

## Works by year

### 2020s

[**2025** 1 paper IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models](https://md.research.elamur.ai/free/en/papers/adelani-2025-irokobench-new-benchmark-african-languages/) · [**2023** 2 papers Sara Hooker's papers of 2023](https://md.research.elamur.ai/free/en/authors/sara-hooker/year/2023/) · [**2022** 1 paper The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs](https://md.research.elamur.ai/free/en/papers/ruis-2022-goldilocks-pragmatic-understanding-fine-tuning/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Efficient Methods for Natural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/treviso-2023-efficient-methods-natural-language-processing/)** *(2023 · 145 citations)* Much of the recent progress in NLP comes from making models and training corpora larger. That strategy also drives up the need for data, compute time, storage and energy, which are finite and unequally available. This TACL 2023 survey by Treviso, Lee, Ji and 19 co-authors grew out of Dagstuhl Seminar 22,232. It…
2. **[The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs](https://md.research.elamur.ai/free/en/papers/ruis-2022-goldilocks-pragmatic-understanding-fine-tuning/)** *(2022 · 86 citations)* The authors test whether large language models (LLMs) can understand conversational implicature, that is, an indirect answer.
3. **[IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models](https://md.research.elamur.ai/free/en/papers/adelani-2025-irokobench-new-benchmark-african-languages/)** *(2025 · 69 citations)* Large language models are usually tested in English and a few other well-resourced languages. When African languages are tested at all, it is mostly on simple classification, so we know little about how well models reason or recall knowledge in them. The authors built IrokoBench to fill this gap. Professional…
4. **[Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning](https://md.research.elamur.ai/free/en/papers/zadouri-2023-pushing-mixture-experts-limit-extremely/)** *(2023 · 66 citations)* Mixture of Experts (MoE) models route inputs to specialized sub-networks while keeping compute constant. However, they are costly because every expert must be stored and, when fine-tuned, updated. Zadouri et al. (Cohere for AI) ask whether MoE can still help in instruction tuning when only a tiny share of weights may…

## All works

11 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. **[Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims](https://arxiv.org/abs/2004.07213) · original ↗ · no summary yet · arXiv:2004.07213**Miles Brundage et al.*2020 · 312 citations*
2. **[Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs](https://aclanthology.org/2024.acl-long.662/) · original ↗ · no summary yet · Proceedings of the 62nd Annual Meeting of the Association for Computational…**Arash Ahmadian et al.*2024 · 201 citations*
3. **[Efficient Methods for Natural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/treviso-2023-efficient-methods-natural-language-processing/)**Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.*[Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/) · 145 citations*
4. **[The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs](https://md.research.elamur.ai/free/en/papers/ruis-2022-goldilocks-pragmatic-understanding-fine-tuning/)**Laura Ruis, Akbir Khan, Stella Biderman, et al.*[Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) · 86 citations*
5. **[IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models](https://md.research.elamur.ai/free/en/papers/adelani-2025-irokobench-new-benchmark-african-languages/)**David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime, et al.*[Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/) · 69 citations*
6. [**Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning**Ted Zadouri, Ahmet Ustun, Arash Ahmadian, et al.*arXiv:2309.05444 · 66 citations*](https://md.research.elamur.ai/free/en/papers/zadouri-2023-pushing-mixture-experts-limit-extremely/)
7. **[The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm](https://aclanthology.org/2024.emnlp-main.671/) · original ↗ · no summary yet · Proceedings of the 2024 Conference on Empirical Methods in Natural Language…**Aakanksha et al.*2024 · 47 citations*
8. **[M-RewardBench: Evaluating Reward Models in Multilingual Settings](https://aclanthology.org/2025.acl-long.3/) · original ↗ · no summary yet · Proceedings of the 63rd Annual Meeting of the Association for Computational…**Srishti Gureja et al.*2025 · 26 citations*
9. **[The Leaderboard Illusion](https://arxiv.org/abs/2504.20879) · original ↗ · no summary yet · arXiv:2504.20879**Shivalika Singh et al.*2025 · 19 citations*
10. **[Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual Progress](https://arxiv.org/abs/2408.14960) · original ↗ · no summary yet · arXiv:2408.14960**Ayomide Odumakinde et al.*2024 · 12 citations*
11. **[When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs](https://aclanthology.org/2025.emnlp-main.1402/) · original ↗ · no summary yet · Proceedings of the 2025 Conference on Empirical Methods in Natural Language…**Ammar Khairi et al.*2025 · 6 citations*

## Co-authors here

12 of 21 co-authors with a page, the most papers together first.

- [Acyr Locatelli](https://md.research.elamur.ai/free/en/authors/acyr-locatelli/)
- [Ahmet Ustun](https://md.research.elamur.ai/free/en/authors/ahmet-ustun/)
- [Andiswa Bukula](https://md.research.elamur.ai/free/en/authors/andiswa-bukula/)
- [André F. T. Martins](https://md.research.elamur.ai/free/en/authors/andre-f-t-martins/)
- [Arash Ahmadian](https://md.research.elamur.ai/free/en/authors/arash-ahmadian/)
- [Betty van Aken](https://md.research.elamur.ai/free/en/authors/betty-van-aken/)
- [Colin Raffel](https://md.research.elamur.ai/free/en/authors/colin-raffel/)
- [David Ifeoluwa Adelani](https://md.research.elamur.ai/free/en/authors/david-ifeoluwa-adelani/)
- [Edward Grefenstette](https://md.research.elamur.ai/free/en/authors/edward-grefenstette/)
- [En-Shiun Annie Lee](https://md.research.elamur.ai/free/en/authors/en-shiun-annie-lee/)
- [Happy Buzaaba](https://md.research.elamur.ai/free/en/authors/happy-buzaaba/)
- [Israel Abebe Azime](https://md.research.elamur.ai/free/en/authors/israel-abebe-azime/)

## 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/) ×4
- Proceedings of the 2024 Conference on Empirical Methods in… ×2
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/)
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/)
- [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) 2023](https://md.research.elamur.ai/free/en/venues/tacl/2023/)

## Cited by

Papers of our library cite their works 1,574 times (of the 141,840 papers whose bibliographies we read); [118 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sara-hooker/cited-by/).

Updated 24 October 2026