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Puxuan Yu

Puxuan Yu has 2 papers in our library, in 2023–2026, most of them on Multilingual & cross-lingual NLP, Low-resource languages, Evaluation & benchmarks; often with Heli Qi, Hitomi Yanaka, James Allan.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 7 · 27 works · 197 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 16 times in our library · ⭐ Paper Stars ranking: #7899

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

🏢Snowflake Inc.Bozeman · United States2024–2026 · 14 paperscurrent🎓Snow CollegeEphraim · United States2026 · 1 papercurrent🎓University of Massachusetts AmherstAmherst Center · United States2019–2024 · 9 papers

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 4Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 2 worksInformation retrieval & search · 1 workLow-resource languages · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation (2023 · 46 citations)
    Cross-language retrieval for low-resource languages faces two problems. Multilingual encoders such as mBERT and XLM-R are pre-trained on unevenly distributed data, so they represent these languages poorly. Relevance-labelled CLIR training data for such languages also barely exists. The authors propose OPTICAL, which…
  2. Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers (2026 · 1 citation)
    Search engines and RAG pipelines are mostly built and tested on single-language queries, yet many bilingual users mix languages when they search.

 Co-authors here

8 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 16 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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