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Yingchun Wang

Yingchun Wang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Xingjun Ma, Shujie Wang, Xin Wang.

2 papers in our library · 2026

OpenAlex · h-index 10 · 39 works · 430 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #13208

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

🎓Fujian Agriculture and Forestry UniversityFuzhou · China2019–2026 · 4 paperscurrent🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2026 · 1 papercurrent🏥Affiliated Hospital of Southwest Medical UniversityLuzhou · China2020–2024 · 13 papers🏥Southwest Medical UniversityLuzhou · China2020–2024 · 7 papers🏥People's Hospital of Xinjiang Uygur Autonomous RegionÜrümqi · China2012–2016 · 3 papers🏥Ningbo No. 2 HospitalNingbo · China2023–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksEngineering · 1 workSafety Research · 1 workSafety, Risk, Reliability and Quality · 1 workSocial Sciences · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksBias, fairness & safety · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language Models (2026 · 1 citation)
    Static safety benchmarks for LLMs age quickly. They struggle to reflect complex legal requirements and are hard to adapt to an organization's own policies. AgenticEval addresses this by treating safety evaluation as an ongoing, self-updating process rather than a single audit. In this multi-agent framework:
  2. Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with Constraints (2026)
    Search-augmented LLMs often give wrong answers while sounding fully sure of themselves. The authors address this with Deliberative Searcher, an agent that puts reasoning first and treats web retrieval as a supporting tool. While generating its chain of thought, the model can think, issue a search query, and read a…

 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.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yingchun-wang/