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Yueqi Xie

Yueqi Xie has 2 papers in our library, in 2024–2026, most of them on Bias, fairness & safety; often with Fangzhao Wu, Hanze Dong, Jianshu Zhang.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 14 · 29 works · 995 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 28 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7577

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

🎓Princeton UniversityPrinceton · United States2025–2026 · 8 papersEmploymentcurrent🎓Peking UniversityBeijing · China2019–2026 · 7 paperscurrent🎓Hong Kong University of Science and TechnologyHong Kong · China2021–2026 · 23 papersEducationEmployment

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workGeneral Social Sciences · 1 workSafety Research · 1 work

🧭 Topics 1Research subjects and languages the work is about.Bias, fairness & safety · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance (2024 · 58 citations)
    Multimodal large language models such as LLaVA can be steered into harmful output by malicious images, even when the same request in plain text would be refused.
  2. Measuring Human Contribution in AI-Assisted Content Generation (2026 · 1 citation)
    As more writing is produced by LLMs following human prompts, deciding how much of a piece reflects the person rather than the model has become difficult.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. MLLM-Protector: Ensuring MLLM's Safety without Hurting PerformanceConference on Empirical Methods in Natural Language Processing (EMNLP)Renjie Pi, Tianyang Han, Jianshu Zhang, et al.2024 · 58 citations
  2. Measuring Human Contribution in AI-Assisted Content GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yueqi Xie, Tao Qi, Jingwei Yi, et al.2026 · 1 citation
  3. Red-Teaming NSFW Image Classifiers as Text-to-Image Safeguards ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetTinghao Xie et al.2026

 Co-authors here

11 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 28 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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