---
title: "Ahmet Üstün — author profile and papers"
description: "Ahmet Üstün: 2 papers on Elamur Research (2021–2024) — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/ahmet-ustun/"
---
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# Ahmet Üstün

2 papers on this site · 2021–2024

Ahmet Üstün has 2 papers on this site, in 2021–2024, 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/); often with [Alan Ramponi](https://md.research.elamur.ai/free/en/authors/alan-ramponi/), [Barbara Plank](https://md.research.elamur.ai/free/en/authors/barbara-plank/), [Daniel D'souza](https://md.research.elamur.ai/free/en/authors/daniel-d-souza/).

No OpenAlex profile matched yet.

[2 works on this site](https://md.research.elamur.ai/free/en/authors/ahmet-ustun/#papers) · [340 citations in our library](https://md.research.elamur.ai/free/en/authors/ahmet-ustun/cited-by/)

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=Ahmet+%C3%9Cst%C3%BCn) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ahmet+%C3%9Cst%C3%BCn) · [dblp](https://dblp.org/search?q=Ahmet+%C3%9Cst%C3%BCn) · [ACL Anthology](https://aclanthology.org/search/?q=Ahmet+%C3%9Cst%C3%BCn)

## Topics

[Language models & pretraining 1](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP 1](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/papers/goot-2021-massive-choice-ample-tasks-machamp/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/)** *(2024 · 245 citations)* Most instruction-tuned LLMs serve a few data-rich languages, and English dominates popular instruction datasets.
2. **[Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP](https://md.research.elamur.ai/free/en/papers/goot-2021-massive-choice-ample-tasks-machamp/)** *(2021 · 177 citations)* MaChAmp is a toolkit for fine-tuning pre-trained contextualized embeddings on one or many NLP tasks simultaneously, while keeping the setup simple.

## Co-authors here

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

- [Alan Ramponi](https://md.research.elamur.ai/free/en/authors/alan-ramponi/)
- [Barbara Plank](https://md.research.elamur.ai/free/en/authors/barbara-plank/)
- [Daniel D'souza](https://md.research.elamur.ai/free/en/authors/daniel-d-souza/)
- [Freddie Vargus](https://md.research.elamur.ai/free/en/authors/freddie-vargus/)
- [Phil Blunsom](https://md.research.elamur.ai/free/en/authors/phil-blunsom/)
- [Rob van der Goot](https://md.research.elamur.ai/free/en/authors/rob-van-der-goot/)
- [Shivalika Singh](https://md.research.elamur.ai/free/en/authors/shivalika-singh/)
- [Viraat Aryabumi](https://md.research.elamur.ai/free/en/authors/viraat-aryabumi/)
- [Wei-Yin Ko](https://md.research.elamur.ai/free/en/authors/wei-yin-ko/)
- [Zheng-Xin Yong](https://md.research.elamur.ai/free/en/authors/zheng-xin-yong/)

## Cited by

Papers of our library cite their works 340 times (of the 140 884 papers whose bibliographies we read); [31 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ahmet-ustun/cited-by/).