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Yucheng Wang

Yucheng Wang has 3 papers in our library, in 2020–2026, most of them on Information retrieval & search; often with Bin Xu, Bowen Yu, Daniel Zhang-Li.

3 papers in our library · 2020–2026

OpenAlex · ORCID · h-index 1 · 7 works · 11 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 74 times in our library · ⭐ Paper Stars ranking: #3720

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

🏢BaiduBeijing · China2026 · 2 paperscurrent🎓Renmin University of ChinaBeijing · China2026 · 2 paperscurrent🎓Xi'an Jiaotong UniversityXi'an · Chinacurrent🎓Tsinghua UniversityBeijing · China2025 · 2 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 · 2 works

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

 Works by year

2020s

20262 papers20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking (2020 · 529 citations)
    TPLinker targets joint extraction of entities and relations, especially overlapping triples where entities are shared.
  2. Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation (2026 · 2 citations)
    Reinforcement learning has improved LLMs on math and short-answer QA, where outputs can be checked against a single correct target.
  3. From Knowing to Teaching: Scaffolding Pedagogical Decisions for LLM Agent (2026)
    LLMs know a great deal about many subjects, but they struggle to turn that knowledge into good lessons. Their generated lessons look tidy yet misuse sources, skip foundational steps, and quiz learners on material never presented. The authors frame this as a knowing-teaching gap, drawing on Shulman's notion of…

 Co-authors here

12 of 15 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 74 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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