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Xiaowen Lin

Xiaowen Lin has 2 papers in our library, in 2019–2026, most of them on Question answering, Information retrieval & search, Bias, fairness & safety; often with Christopher D. Manning, Li Chen, Peng Qi.

2 papers in our library · 2019–2026

OpenAlex · h-index 4 · 9 works · 176 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 59 times in our library · ⭐ Paper Stars ranking: #7027

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 · China2020–2025 · 2 paperscurrent🎓Guangdong University of TechnologyGuangzhou · China2025 · 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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksInformation Systems · 1 workLanguage and Linguistics · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Information retrieval & search · 1 workQuestion answering · 1 workBias, fairness & safety · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Answering Complex Open-domain Questions Through Iterative Query Generation (2019 · 155 citations)
    Standard open-domain QA systems run one retrieval step using the question and then read the results. This fails for multi-hop questions, where a key entity, such as the author of a book, never appears in the question and cannot be found directly. The authors propose GoldEn (Gold Entity) Retriever. It alternates…
  2. Red-Teaming NSFW Image Classifiers as Text-to-Image Safeguards (2026)
    This paper examines a weakness in NSFW image classifiers that act as output filters for text-to-image (T2I) generators.

 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 59 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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