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Ying Liu

Ying Liu has 2 papers in our library, in 2026, most of them on Language models & pretraining, Information extraction, Bias, fairness & safety; often with Dong Yu, Gang Wu, Pengyuan Liu.

2 papers in our library · 2026

OpenAlex · h-index 0 · 4 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12308

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

🎓Northeastern UniversityShenyang · China2026 · 1 papercurrent🎓Tsinghua UniversityBeijing · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workGender Studies · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 1 workInformation extraction · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Prompt Optimization for Relation Extraction using Reinforcement Learning (2026)
    Prompting LLMs for relation extraction (RE) avoids the large annotated corpora that supervised models need.
  2. SPAGBias: Uncovering and Tracing Structured Spatial Gender Bias in Large Language Models (2026)
    LLMs are increasingly used in urban planning and other spatial tasks. Feminist geography holds that everyday places carry gendered meanings, so these models may reproduce or amplify that hierarchy. The authors present SPAGBias, described as the first systematic approach to quantifying how LLMs associate gender with…

 Co-authors here

4 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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