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Yixin Huang

Yixin Huang has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Bias, fairness & safety; often with Haoran Wang, Lichao Sun, Qihui Zhang.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 12 · 55 works · 511 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 184 times in our library · ⭐ Paper Stars ranking: #5374

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

🎓Shanghai Jiao Tong UniversityShanghai · China2019–2026 · 15 paperscurrent🎓National University of Defense TechnologyChangsha · China2020–2026 · 8 paperscurrent🎓Tongji UniversityShanghai · China2016–2026 · 5 paperscurrent🔬Shanghai Qi Zhi InstituteShanghai · China2026 · 3 paperscurrent🎓Zhejiang UniversityHangzhou · China2019–2021 · 7 papers🎓Guangxi Normal UniversityGuilin · China2024–2025 · 3 papers🏢State Grid Fujian Electric Power CompanyFuzhou · China2022–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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).Artificial Intelligence · 2 worksComputer Science · 2 worksSocial Sciences · 2 worksSafety Research · 1 workArts and Humanities · 1 workGeneral Social Sciences · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. TrustLLM: Trustworthiness in Large Language Models (2024 · 237 citations)
    TrustLLM tackles the lack of a unified way to judge whether large language models behave reliably and responsibly.
  2. NUS-IDS at PragTag-2023: Improving Pragmatic Tagging of Peer Reviews through Unlabeled Data (2023 · 2 citations)
    The paper tackles PragTag-2023, a shared task in which each sentence of a peer review receives one pragmatic category: Recap, Strength, Weakness, Todo, Other or Structure.

 Co-authors here

9 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 184 times (of the 149,439 papers whose bibliographies we read); 40 citing papers with a page here →.

Updated

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