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Boxun Li

Boxun Li has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Evaluation & benchmarks, Bias, fairness & safety; often with Boren Zheng, Borong Zhang, Boyuan Chen.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 9 · 26 works · 800 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 105 times in our library · ⭐ Paper Stars ranking: #6507

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

🎓Duke UniversityDurham · United States2023–2024 · 2 paperscurrent🏥Duke Medical CenterDurham · United States2024 · 1 papercurrent🏥The University of Texas Southwestern Medical CenterDallas · United States2017–2022 · 7 papers🏥Second Affiliated Hospital of Xi'an Jiaotong UniversityXi'an · China2007–2012 · 4 papers🎓Xi'an Jiaotong UniversityXi'an · China2007–2010 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions 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).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSafety Research · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workBias, fairness & safety · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference (2025 · 83 citations)
    Safety alignment of large language models depends on preference data and fine-grained harm labels, which are expensive to collect at scale.
  2. LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K (2024 · 41 citations)
    Long-context LLMs now advertise input windows of 128k–256k tokens or more. Popular evaluation suites, however, average only about 5k–21k words. They often reuse unmodified public texts that models may have memorized, and they score answers with brittle n-gram metrics. LV-Eval addresses these gaps with a bilingual…

 Co-authors here

12 of 13 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 105 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated

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