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Justin Cui

Justin Cui has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Bias, fairness & safety; often with Armin Toroghi, Cho-Jui Hsieh, Ion Gabriel Stoica.

2 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 4 · 19 works · 54 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 71 times in our library · ⭐ Paper Stars ranking: #7145

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

 Affiliations

🎓University of California, Los AngelesLos Angeles · United States2026 · 3 paperscurrent🎓University of TorontoToronto · Canada2024–2026 · 3 paperscurrent

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.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksSafety Research · 1 workSocial Sciences · 1 workArts and Humanities · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksBias, fairness & safety · 1 workEvaluation & benchmarks · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. OR-Bench: An Over-Refusal Benchmark for Large Language Models (2024 · 76 citations)
    Safety-tuned LLMs often refuse harmless requests that merely look risky. Before this work, the problem had no large-scale way to be measured. The only dedicated test set, XSTest, has 250 hand-written prompts, and recent strong models now answer almost all of them. The authors build an automated pipeline to fill this…
  2. Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments (2026 · 4 citations)
    Natural Language Recommendation (NLRec) ranks items, each described by several text passages, against a free-form user request.

 Co-authors here

7 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 71 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated

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