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Yanwei Yue

Yanwei Yue has 2 papers in our library, in 2025–2026, most of them on Information retrieval & search; often with Boci Peng, Guancheng Wan, Guibin Zhang.

2 papers in our library · 2025–2026

OpenAlex · h-index 2 · 14 works · 20 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 22 times in our library · ⭐ Paper Stars ranking: #8285

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

🎓Peking UniversityBeijing · China2025–2026 · 4 paperscurrent🎓Tongji UniversityShanghai · China2024–2025 · 6 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 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workPhysics and Astronomy · 1 workStatistical and Nonlinear Physics · 1 work

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

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MasRouter: Learning to Route LLMs for Multi-Agent Systems (2025 · 35 citations)
    LLM-based multi-agent systems (MAS) often outperform single agents, but they consume many tokens. Existing LLM routers choose one model per query, so they only fit single-agent setups. They ignore how agents should cooperate and which roles they should play. The authors formalize this broader task as Multi-Agent…
  2. COSMOS: Connectivity-Oriented Submodular Maximization for Optimal Subgraph Retrieval (2026)
    The paper tackles evidence retrieval for Knowledge Base Question Answering (KBQA), where an LLM needs a compact and connected set of knowledge-graph facts rather than isolated triplets. The authors identify weaknesses in three existing families of retrievers:

 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 22 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

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