Elamur Research⌕
☰
home / authors / Yuanchen Bei

Yuanchen Bei

Yuanchen Bei has 4 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Vision & language; often with Hanghang Tong, Jingrui He, Tianxin Wei.

4 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 9 · 57 works · 314 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 72 times in our library · ⭐ Paper Stars ranking: #8140

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

🎓University of Illinois Urbana-ChampaignUrbana · United States2025–2026 · 22 paperscurrent🎓Zhejiang UniversityHangzhou · China2022–2026 · 22 paperscurrent🎓Hong Kong Polytechnic UniversityHong Kong · China2024–2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksComputer Vision and Pattern Recognition · 4 worksLanguage and Linguistics · 4 worksInformation Systems · 2 worksHistory and Philosophy of Science · 1 work

🧭 Topics 5Research subjects and languages the work is about.Language models & pretraining · 2 worksInformation retrieval & search · 1 workReasoning · 2 worksVision & language · 2 worksDialogue systems · 1 work

 Works by year

2020s

20262 papers20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models (2025 · 64 citations)
    General-purpose LLMs often fall short in specialized fields. Their domain knowledge is shallow, they struggle with long chains of rule-bound reasoning, and they misread terms whose meaning depends on context. Fine-tuning on domain data can introduce hallucinations and catastrophic forgetting. Classic RAG avoids…
  2. Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs (2025 · 17 citations)
    Large language models face two linked weaknesses. Their stored knowledge is fixed and can be wrong, and they struggle with problems that need several reasoning steps. Retrieval-Augmented Generation (RAG) addresses the first, and reasoning techniques such as Chain-of-Thought address the second. This survey argues that…
  3. Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents (2026 · 6 citations)
    Agents built on multimodal large language models (MLLMs) need to remember what users show and tell them over many conversations.
  4. PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs (2026 · 2 citations)
    PaperMind is a benchmark for testing whether multimodal LLMs can reason about scientific papers in an integrated, agent-like way.

 Co-authors here

12 of 29 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 72 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated

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