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Xinwei Wu

Xinwei Wu has 5 papers in our library, in 2023–2026, most of them on Language models & pretraining, Bias, fairness & safety, Machine translation; often with Deyi Xiong, Hao Wang, Heng Liu.

5 papers in our library · 2023–2026

OpenAlex · h-index 16 · 41 works · 1,316 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 89 times in our library · ⭐ Paper Stars ranking: #6488

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

🏛️Guangzhou Center for Disease Control and PreventionGuangzhou · China2009–2026 · 32 paperscurrent🎓Guangzhou Medical UniversityGuangzhou · China2024–2026 · 2 paperscurrent🏥Fourth Affiliated Hospital of China Medical UniversityShenyang · China2014–2018 · 3 papers🎓Tianjin UniversityTianjin · China2023–2024 · 2 papers🎓Xinjiang University of Finance and EconomicsÜrümqi · China2024 · 2 papers🎓China Medical UniversityShenyang · China2016–2018 · 2 papers

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 5 worksComputer Science · 5 worksArts and Humanities · 4 worksLanguage and Linguistics · 4 worksSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 3 worksBias, fairness & safety · 2 worksInterpretability · 1 workMachine translation · 1 work

 Works by year

2020s

20264 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Large Language Model Alignment: A Survey (2023 · 124 citations)
    Large language models have improved rapidly, yet they can still produce output that is inaccurate, misleading or harmful.
  2. Incentivizing Parametric Knowledge via Reinforcement Learning with Verifiable Rewards for Cross-Cultural Entity Translation (2026 · 1 citation)
    Large language models often mistranslate culturally grounded entities such as songs, films, books, places and idioms.
  3. From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models (2026)
    Sparse Autoencoders (SAEs) and other mechanistic interpretability tools can expose meaningful features inside LLMs, but these findings are rarely used to improve the models themselves.
  4. M²PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation (2026)
    The paper tackles unreliable reward signals in preference-based alignment of LLMs for machine translation.
  5. Neuronal Insights into LLM Attacks: Targeted Neuron Tuning for Precise and Robust Vulnerability Patching (2026)
    Safety-aligned LLMs can still be jailbroken, and it is not well understood which internal components such attacks exploit.

 Co-authors here

12 of 22 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 89 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated

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