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Xiaoyue Lu

Xiaoyue Lu has 2 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Yan Xiao, Jiahao Liu, Jin Song Dong.

2 papers in our library · 2026

OpenAlex · h-index 0 · 2 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12291

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

🎓Sun Yat-sen UniversityGuangzhou · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSafety Research · 1 workSocial Sciences · 1 workSoftware · 1 work

🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications (2026)
    Current LLM safety evaluation depends on two approaches. Static benchmarks are costly, prone to contamination, and age quickly. Red-teaming is heuristic, and neither can show which policy clauses were actually tested. The authors propose POLARIS, which borrows specification-based testing from software engineering. It…
  2. Task-Related In-Context Learning (2026)
    Conventional in-context learning (ICL) presumes that the retrieval pool and the test set use the same label inventory.

 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.

Updated

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