--- title: "Justin Lee — author profile and papers — Elamur Research" description: "Justin Lee: 2 papers on Elamur Research (2025–2026) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/justin-lee/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/justin-lee/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Justin Lee # Justin Lee Justin Lee has 2 papers in our library, in 2025–2026, 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/), [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/); often with [Jennifer Tracey](https://md.research.elamur.ai/free/en/authors/jennifer-tracey/), [Xu Chen](https://md.research.elamur.ai/free/en/authors/xu-chen/), [Yazeed Alnumay](https://md.research.elamur.ai/free/en/authors/yazeed-alnumay/). 2 papers in our library · 2025–2026 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/justin-lee/#papers) · [🔗 Cited 18 times in our library](https://md.research.elamur.ai/free/en/authors/justin-lee/cited-by/) · [⭐ Paper Stars ranking: #9086](https://md.research.elamur.ai/free/en/paper-stars/page/91/#star-9086) 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=Justin+Lee) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Justin+Lee) · [dblp](https://dblp.org/search?q=Justin+Lee) · [ACL Anthology](https://aclanthology.org/search/?q=Justin+Lee) ## 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/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) 🧭 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/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Semitic languages · 1 work](https://md.research.elamur.ai/free/en/topics/semitic-languages/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/justin-lee/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/justin-lee/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Command R7B Arabic: a small, enterprise-focused, multilingual, and culturally aware Arabic LLM](https://md.research.elamur.ai/free/en/papers/alnumay-2025-command-r7b-arabic-small-enterprise/)** *(2025 · 18 citations)* Enterprise-grade Arabic LLMs are hard to build because little digitized Arabic text exists, and English data often fails to carry over because of differences in morphology, syntax and culture. 2. **[LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization](https://md.research.elamur.ai/free/en/papers/wu-2026-llm-prompt-duel-optimizer-efficient/)** *(2026 · 2 citations)* Automatic prompt optimization usually scores candidate instructions against labeled validation data. Such data is often missing early in a deployment. The authors, from Penn State and Meta, propose the Prompt Duel Optimizer (PDO), which needs no labels. An LLM judge sees the outputs of two prompts on the same… ## Co-authors here 3 co-authors with a page, the most papers together first. - [Jennifer Tracey](https://md.research.elamur.ai/free/en/authors/jennifer-tracey/) - [Xu Chen](https://md.research.elamur.ai/free/en/authors/xu-chen/) - [Yazeed Alnumay](https://md.research.elamur.ai/free/en/authors/yazeed-alnumay/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Workshop on African Natural Language Processing](https://md.research.elamur.ai/free/en/venues/africanlp/): [Workshop on African Natural Language Processing 2025](https://md.research.elamur.ai/free/en/venues/africanlp/2025/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 18 times (of the 149,439 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/justin-lee/cited-by/). Updated 31 October 2026