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Huan Wu

Huan Wu has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks, English; often with Laleh Seyyed-Kalantari, Ali Emami, Arash Asgari.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 6 · 119 works · 277 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12024

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

🎓Tsinghua UniversityBeijing · China2026 · 8 paperscurrent🎓North China Electric Power UniversityBeijing · China2023–2026 · 7 paperscurrent🎓Eastern Institute of Technology, NingboNingbo · China2026 · 5 paperscurrent🎓McGill UniversityMontreal · Canada2026 · 5 paperscurrent🎓Beijing University of Posts and TelecommunicationsBeijing · China2025–2026 · 4 paperscurrent🎓Nanjing UniversityNanjing · China2026 · 4 paperscurrent🎓University of Science and Technology of ChinaHefei · China2026 · 4 paperscurrent🎓National University of Defense TechnologyChangsha · China2026 · 3 paperscurrent🎓Beijing Foreign Studies UniversityBeijing · China2025–2026 · 2 paperscurrent🏢ByteDanceBeijing · China2026 · 2 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 39 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 6The 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 · 2 worksSocial Sciences · 2 works

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksEnglish · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation Steering (2026)
    Instruction-tuned LLMs tend to treat African American English (AAE) as an error and steer users' text toward Standard American English (SAE), even when the user writes in AAE.
  2. Quantifying Metric and Model Agreement in Bias Evaluation of Large Language Models (2026)
    The bias of large language models is evaluated with dozens of metrics and benchmarks. However, until now there has been no way to check whether these tools agree with one another and whether they rank models consistently. The authors propose two measures. The Metric Agreement Score (MeAS) shows how similarly…

 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.

Updated

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