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Yueqin Yin

Yueqin Yin has 2 papers in our library, in 2025–2026; often with Mingyuan Zhou, Kaiqiang Song, Pengcheng He.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 3 · 6 works · 33 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 27 times in our library · ⭐ Paper Stars ranking: #10221

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

🎓The University of Texas at AustinAustin · United States2025–2026 · 4 paperscurrent🎓University of California, Santa BarbaraSanta Barbara · United States2026 · 1 papercurrent🏛️Chinese Academy of SciencesBeijing · China2022–2023 · 2 papers🔬Institute of AutomationBeijing · China2022–2023 · 2 papers🎓University of Chinese Academy of SciencesBeijing · China2022–2023 · 2 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.

 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).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Science Applications · 1 workInformation Systems · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding (2025 · 36 citations)
    Training strong coding LLMs requires post-training data that is both broad and checkably correct. Human-curated sets such as APPS, TACO and CodeContests are reliable but small. Synthetic alternatives tend to lack variety, difficulty, or any way to confirm their answers. The authors build KodCode-V1, a synthetic…
  2. ContextCheck: Sentence-Level Faithfulness Verification with Context-Aware Disambiguation (2026)
    LLM outputs often contain claims that the supplied source does not support. Sentence-level checkers usually judge each sentence on its own, so they fail when a sentence depends on earlier ones, for example through pronouns or entities mentioned before. The usual fix is to rewrite such sentences into standalone claims…

 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 27 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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