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Justin Lee

Justin Lee has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Semitic languages; often with Jennifer Tracey, Xu Chen, Yazeed Alnumay.

2 papers in our library · 2025–2026

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📄 2 works in our library · 🔗 Cited 18 times in our library · ⭐ Paper Stars ranking: #9086

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

 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. Command R7B Arabic: a small, enterprise-focused, multilingual, and culturally aware Arabic LLM (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 (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.

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 18 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated

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