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Yuan Ni

Yuan Ni has 2 papers in our library, in 2021–2023, most of them on Language models & pretraining, Evaluation & benchmarks, Information retrieval & search; often with Chuanqi Tan, Fei Huang, Hang Yan.

2 papers in our library · 2021–2023

OpenAlex · ORCID · h-index 9 · 50 works · 298 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 147 times in our library · ⭐ Paper Stars ranking: #4588

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

🎓Dalian Medical UniversityDalian · China2022–2026 · 11 paperscurrent🔬China Electric Power Research InstituteBeijing2021–2026 · 10 paperscurrent🏢Ping AnShenzhen2021–2025 · 9 papers🎓Xi'an Technological UniversityXi'an · China2009–2014 · 7 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workBiochemistry, Genetics and Molecular Biology · 1 workMolecular Biology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workInformation retrieval & search · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20231 paperUnified Demonstration Retriever for In-Context Learning20211 paperCBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

 Papers

The most cited first (OpenAlex and our library).

  1. Unified Demonstration Retriever for In-Context Learning (2023 · 144 citations)
    In-context learning (ICL) lets a language model solve a task from a few input-output examples placed in its prompt, but its accuracy depends heavily on which examples are chosen.
  2. CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark (2021 · 71 citations)
    Biomedical NLP evaluation resources such as BLURB and PubMedQA are almost entirely English. Chinese, spoken by roughly a quarter of humanity, has had no shared yardstick for medical language understanding. The authors address this with CBLUE, which they describe as the first Chinese benchmark of its kind. It combines…

 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 147 times (of the 141,840 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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