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Xuhao Hu

Xuhao Hu has 2 papers in our library, in 2024–2025, most of them on Bias, fairness & safety, Language models & pretraining, Evaluation & benchmarks; often with Jing Shao, Dahua Lin, Dongrui Liu.

2 papers in our library · 2024–2025

OpenAlex · h-index 1 · 3 works · 33 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 114 times in our library · ⭐ Paper Stars ranking: #6191

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

🏢Artificial Intelligence in MedicineToronto · Canada2026 · 1 papercurrent🔬Zhejiang LabHangzhou · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workComputer Vision and Pattern Recognition · 1 work

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

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models (2024 · 119 citations)
    Existing LLM safety benchmarks have several weaknesses. They cover narrow slices of harm, and modern models now handle their questions almost perfectly. Many also need slow human grading or costly GPT grading, and few can assess both models and attack/defense techniques. SALAD-Bench addresses these gaps with a…
  2. VLSBench: Unveiling Visual Leakage in Multimodal Safety (2025 · 32 citations)
    Earlier work reported a puzzling result: aligning multimodal LLMs with text-only data seemed to make them about as safe as aligning them with image-text pairs.

 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 114 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated

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