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Yixin Wan

Yixin Wan has 2 papers in our library, in 2023, most of them on Language models & pretraining, Question answering, Bias, fairness & safety; often with Aparna Garimella, Jiao Sun, Kai-Wei Chang.

2 papers in our library · 2023

OpenAlex · ORCID · Wikidata · h-index 14 · 56 works · 654 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 239 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #3911

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

🎓University of California, Los AngelesLos Angeles · United States2022–2026 · 13 paperscurrent🏥Lanzhou University Second HospitalLanzhou · China2009–2023 · 27 papers🎓Lanzhou UniversityLanzhou · China2009–2022 · 14 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.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSafety Research · 1 workSocial Sciences · 1 workMathematics · 1 workComputational Theory and Mathematics · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Question answering · 1 workBias, fairness & safety · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20232 papersYixin Wan's papers of 2023

 Papers

The most cited first (OpenAlex and our library).

  1. “Kelly is a Warm Person, Joseph is a Role Model”: Gender Biases in LLM-Generated Reference Letters (2023 · 206 citations)
    The paper asks whether large language models carry gender stereotypes into a sensitive real-world task: drafting recommendation letters that users may submit with little or no editing.
  2. TheoremQA: A Theorem-driven Question Answering Dataset (2023 · 155 citations)
    Benchmarks such as GSM8K are no longer hard for frontier LLMs. GPT-4 and PaLM-2 score above 90% on them, and the questions rarely require specialised knowledge. TheoremQA targets a harder skill: using a specific university-level theorem to solve a problem. The authors had GPT-4 propose subfields and candidate…

All works

7 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. “Kelly is a Warm Person, Joseph is a Role Model”: Gender Biases in LLM-Generated Reference LettersFindings of the Association for Computational LinguisticsYixin Wan, George Pu, Jiao Sun, et al.2023 · 206 citations
  2. "Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference LettersarXiv:2310.09219 · original ↗ · no summary yetYixin Wan et al.2023 · 168 citations
  3. TheoremQA: A Theorem-driven Question Answering DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhu Chen, Ming Yin, Max Ku, et al.2023 · 155 citations
  4. PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase GenerationFindings of the Association for Computational Linguistics: ACL 2023 · original ↗ · no summary yetYixin Wan, Kuan-Hao Huang, Kai-Wei Chang2023 · 10 citations
  5. Using Item Response Theory to Measure Gender and Racial Bias of a BERT-based Automated English Speech Assessment SystemProceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022) · original ↗ · no summary yetAlexander Kwako et al.2022 · 10 citations
  6. Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment?Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023) · original ↗ · no summary yetAlexander Kwako et al.2023 · 8 citations
  7. InsideOut: Measuring and Mitigating Insider–Outsider Bias in Interview Script GenerationProceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetYixin Wan, Xingrun Chen, Kai-Wei Chang2026

 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 239 times (of the 141,840 papers whose bibliographies we read); 24 citing papers with a page here →.

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