--- title: "Michael J. Ryan — author profile and papers — Elamur Research" description: "Michael J. Ryan: 2 papers on Elamur Research (2023–2024) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/michael-j-ryan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/michael-j-ryan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Michael J. Ryan # Michael J. Ryan Michael J. Ryan 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/), [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Alan Ritter](https://md.research.elamur.ai/free/en/authors/alan-ritter/), [Christopher Potts](https://md.research.elamur.ai/free/en/authors/christopher-potts/), [Matei Zaharia](https://md.research.elamur.ai/free/en/authors/matei-zaharia/). 2 papers in our library · 2023–2024 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/michael-j-ryan/#papers) · [🔗 Cited 239 times in our library](https://md.research.elamur.ai/free/en/authors/michael-j-ryan/cited-by/) · [⭐ Paper Stars ranking: #3924](https://md.research.elamur.ai/free/en/paper-stars/page/40/#star-3924) 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=Michael+J.+Ryan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Michael+J.+Ryan) · [dblp](https://dblp.org/search?q=Michael+J.+Ryan) · [ACL Anthology](https://aclanthology.org/search/?q=Michael+J.+Ryan) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 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/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Semitic languages · 1 work](https://md.research.elamur.ai/free/en/topics/semitic-languages/) ## Works by year ### 2020s [**2024** 1 paper Michael J. Ryan's papers of 2024](https://md.research.elamur.ai/free/en/papers/ong-2024-optimizing-instructions-demonstrations-multi-stage/) · [**2023** 1 paper Michael J. Ryan's papers of 2023](https://md.research.elamur.ai/free/en/papers/naous-2023-having-beer-after-prayer-measuring/) ## Papers The most cited first (OpenAlex and our library). 1. **[Having Beer after Prayer? Measuring Cultural Bias in Large Language Models](https://md.research.elamur.ai/free/en/papers/naous-2023-having-beer-after-prayer-measuring/)** *(2023 · 268 citations)* Large language models are deployed worldwide, yet even in Arabic they often fall back on Western cultural content. 2. **[Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs](https://md.research.elamur.ai/free/en/papers/ong-2024-optimizing-instructions-demonstrations-multi-stage/)** *(2024 · 89 citations)* Pipelines that chain several language model calls (LM programs) need prompts that work well together across all stages. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Alan Ritter](https://md.research.elamur.ai/free/en/authors/alan-ritter/) - [Christopher Potts](https://md.research.elamur.ai/free/en/authors/christopher-potts/) - [Matei Zaharia](https://md.research.elamur.ai/free/en/authors/matei-zaharia/) - [Omar Khattab](https://md.research.elamur.ai/free/en/authors/omar-khattab/) - [Wei Xu](https://md.research.elamur.ai/free/en/authors/wei-xu/) ## 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 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/) - [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/) ## Cited by Papers of our library cite their works 239 times (of the 141,840 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/michael-j-ryan/cited-by/). Updated 24 October 2026