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Yuqing Xie

Yuqing Xie has 2 papers in our library, in 2019–2022, most of them on Question answering, Evaluation & benchmarks, Information retrieval & search; often with Jimmy Lin, Jheng-Hong Yang, Ming Li.

2 papers in our library · 2019–2022

OpenAlex · ORCID · h-index 8 · 26 works · 545 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 167 times in our library · ⭐ Paper Stars ranking: #4030

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

🏢State Grid Zhejiang Electric Power CompanyHangzhou · China2019–2026 · 8 paperscurrent🎓University of WaterlooWaterloo · Canada2020–2023 · 11 papers🎓Tsinghua UniversityBeijing · China2024–2025 · 2 papers🏢State Grid Corporation of ChinaBeijing · China2022–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 6The 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 worksComputational Theory and Mathematics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Question answering · 1 workEvaluation & benchmarks · 1 workInformation retrieval & search · 1 work

 Works by year

2020s

20221 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. End-to-End Open-Domain Question Answering with BERTserini (2019 · 549 citations)
    Most QA benchmarks of the time give the system a ready passage or a short list of candidate sentences. The step of finding relevant text in a large collection is left out. This demo paper presents BERTserini, which answers questions directly over a Wikipedia dump of 5.08M articles. It chains two modules. First, the…
  2. Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval (2022 · 23 citations)
    Math Information Retrieval (MIR) is difficult because formulas are highly structured. The same concept can appear in very different notation, and formulas interact with the text around them. The strongest systems still rely on hand-engineered structure matching. This paper asks whether bi-encoder dense retrievers can…

 Co-authors here

5 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 167 times (of the 149,439 papers whose bibliographies we read); 31 citing papers with a page here →.

Updated

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