--- title: "Arash Ahmadian — author profile and papers in our library" description: "Arash Ahmadian: 2 papers on Elamur Research (2023–2024), h-index 6 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/arash-ahmadian/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/arash-ahmadian/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Arash Ahmadian # Arash Ahmadian Arash Ahmadian has 2 papers in our library, in 2023–2024, 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 [Acyr Locatelli](https://md.research.elamur.ai/free/en/authors/acyr-locatelli/), [Ahmet Ustun](https://md.research.elamur.ai/free/en/authors/ahmet-ustun/), [Daniel D'souza](https://md.research.elamur.ai/free/en/authors/daniel-d-souza/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5003556123) · [**h-index 6**](https://openalex.org/authors/A5003556123) · [18 works](https://openalex.org/works?filter=author.id:A5003556123) · [112 citations](https://openalex.org/works?filter=author.id:A5003556123&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/arash-ahmadian/#papers) · [🔗 Cited 436 times in our library](https://md.research.elamur.ai/free/en/authors/arash-ahmadian/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4441](https://md.research.elamur.ai/free/en/paper-stars/page/45/#star-4441) 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=Arash+Ahmadian) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Arash+Ahmadian) · [dblp](https://dblp.org/search?q=Arash+Ahmadian) · [ACL Anthology](https://aclanthology.org/search/?q=Arash+Ahmadian) ## Affiliations [🎓**University of Toronto** Toronto · Canada 2022–2024 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) 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. ## 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier](https://md.research.elamur.ai/free/en/papers/dang-2024-aya-expanse-combining-research-breakthroughs/) · [**2023** 1 paper 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/) ## Papers The most cited first (OpenAlex and our library). 1. **[Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier](https://md.research.elamur.ai/free/en/papers/dang-2024-aya-expanse-combining-research-breakthroughs/)** *(2024 · 180 citations)* Multilingual LLMs usually do worse outside English and a few high-resource languages, and poor tokenization makes them slower and more expensive for other languages. 2. **[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 4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs](https://aclanthology.org/2024.acl-long.662/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Arash Ahmadian et al.*2024 · 201 citations* 2. [**Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier arXiv:2412.04261**John Dang, Shivalika Singh, Daniel D'souza, et al.*2024 · 180 citations*](https://md.research.elamur.ai/free/en/papers/dang-2024-aya-expanse-combining-research-breakthroughs/) 3. [**Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning arXiv:2309.05444**Ted Zadouri, Ahmet Ustun, Arash Ahmadian, et al.*2023 · 66 citations*](https://md.research.elamur.ai/free/en/papers/zadouri-2023-pushing-mixture-experts-limit-extremely/) 4. **[The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm](https://aclanthology.org/2024.emnlp-main.671/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yet**Aakanksha et al.*2024 · 47 citations* ## Co-authors here 7 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/) - [Daniel D'souza](https://md.research.elamur.ai/free/en/authors/daniel-d-souza/) - [John Dang](https://md.research.elamur.ai/free/en/authors/john-dang/) - [Madeline Smith](https://md.research.elamur.ai/free/en/authors/madeline-smith/) - [Sara Hooker](https://md.research.elamur.ai/free/en/authors/sara-hooker/) - [Shivalika Singh](https://md.research.elamur.ai/free/en/authors/shivalika-singh/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing - Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ## Cited by Papers of our library cite their works 436 times (of the 141,840 papers whose bibliographies we read); [31 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/arash-ahmadian/cited-by/). Updated 24 October 2026