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Laura O'Mahony

Laura O'Mahony has 2 papers in our library, in 2024, most of them on Language models & pretraining, Multilingual & cross-lingual NLP; often with Alex Havrilla, Alon Albalak, Andrew Dai.

2 papers in our library · 2024

OpenAlex · h-index 3 · 8 works · 48 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 190 times in our library · ⭐ Paper Stars ranking: #6459

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning (2024 · 207 citations)
    Instruction fine-tuning (IFT) relies on curated prompt–completion data, but nearly all such data is in English, so multilingual LLMs serve many speakers poorly.
  2. Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models (2024 · 17 citations)
    Synthetic data produced by LLMs is now a common way to expand training sets. The methods that create it differ in seed data, generator models, prompts, filters and task-specific tricks, so it is hard to see which design choices actually help. This survey suggests judging generation algorithms by the properties of the…

 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 190 times (of the 149,439 papers whose bibliographies we read); 62 citing papers with a page here →.

Updated

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