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Yunke Zhang

Yunke Zhang has 2 papers in our library, in 2025, most of them on Named entity recognition, Reasoning; often with Caishuang Huang, Chenyang Shao, Fengli Xu.

2 papers in our library · 2025

OpenAlex · h-index 2 · 4 works · 71 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 113 times in our library · ⭐ Paper Stars ranking: #7412

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

🎓Tsinghua UniversityBeijing · China2025 · 2 paperscurrent🏥Peking University Cancer HospitalBeijing · China2014–2020 · 2 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 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 1 workNamed entity recognition · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models (2025 · 120 citations)
    LLMs are increasingly used for complex, multi-step reasoning. Training them on human-written step-by-step solutions is very expensive. This survey, by a team mostly from Tsinghua University, describes how the field is moving toward "large reasoning models": systems whose reasoning improves when more compute is spent…
  2. Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition (2025 · 11 citations)
    Open NER requires a model to find entities of any requested type in text from any domain, and even strong LLMs such as GPT-4 perform poorly at it.

 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 113 times (of the 149,439 papers whose bibliographies we read); 35 citing papers with a page here →.

Updated

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