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Yufei Cui

Yufei Cui has 3 papers in our library, in 2024–2026, most of them on Reasoning, Information retrieval & search; often with Boxing Chen, Can Chen, Haolun Wu.

3 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 4 · 26 works · 332 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 18 times in our library · ⭐ Paper Stars ranking: #7025

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

🎓McGill UniversityMontreal · Canada2024–2026 · 13 paperscurrent🏢Huawei TechnologiesStockholm · Sweden2026 · 2 paperscurrent🔬Mila - Quebec Artificial Intelligence InstituteMontreal · Canada2026 · 1 papercurrent🎓Université de MontréalMontreal · Canada2026 · 1 papercurrent🎓City University of Hong KongHong Kong · China2021–2022 · 3 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 · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Information retrieval & search · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Retrieval-Augmented Generation for Natural Language Processing: A Survey (2024 · 86 citations)
    Large language models store knowledge implicitly in their weights. As a result, they can produce fluent but false answers, they need costly retraining to refresh facts, and they often lack depth in specialised domains. Retrieval-augmented generation (RAG) addresses these issues by consulting an external knowledge…
  2. Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models (2026 · 1 citation)
    Sequential test-time scaling makes a large reasoning model keep thinking, for example by swapping its end-of-thinking token for "Wait".
  3. EvoEdit: Evolving Null-space Alignment for Robust and Efficient Knowledge Editing (2026)
    Locate-then-edit methods for updating facts in LLMs, such as ROME, MEMIT and AlphaEdit, break down when many edits are applied one after another.

 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 18 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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