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Boci Peng

Boci Peng has 2 papers in our library, in 2024–2026, most of them on Information retrieval & search; often with Yan Zhang, Yun Zhu, Haizhou Shi.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 4 · 22 works · 211 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 94 times in our library · ⭐ Paper Stars ranking: #5130

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 · China2024–2026 · 20 paperscurrent

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 8The 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 worksInformation Systems · 1 workPhysics and Astronomy · 1 workStatistical and Nonlinear Physics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Information retrieval & search · 2 works

💡 Concepts 1Key ideas and methods explained on our concept pages.Retrieval-augmented generation · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Graph Retrieval-Augmented Generation: A Survey (2024 · 276 citations)
    Standard Retrieval-Augmented Generation (RAG) supplies LLMs with external text so they hallucinate less and can use domain-specific or current knowledge.
  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

7 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 94 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated

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