---
title: "Yuanchen Bei — author profile and papers — Elamur Research"
description: "Yuanchen Bei, University of Illinois Urbana-Champaign: 4 papers on Elamur Research (2025–2026), h-index 9 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/yuanchen-bei/"
---
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# Yuanchen Bei

Yuanchen Bei has 4 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Hanghang Tong](https://md.research.elamur.ai/free/en/authors/hanghang-tong/), [Jingrui He](https://md.research.elamur.ai/free/en/authors/jingrui-he/), [Tianxin Wei](https://md.research.elamur.ai/free/en/authors/tianxin-wei/).

4 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5035660751) · [ORCID](https://orcid.org/0000-0003-2834-2873) · [**h-index 9**](https://openalex.org/authors/A5035660751) · [57 works](https://openalex.org/works?filter=author.id:A5035660751) · [314 citations](https://openalex.org/works?filter=author.id:A5035660751&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yuanchen-bei/#papers) · [🔗 Cited 72 times in our library](https://md.research.elamur.ai/free/en/authors/yuanchen-bei/cited-by/) · [⭐ Paper Stars ranking: #8140](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8140)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yuanchen+Bei) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuanchen+Bei) · [dblp](https://dblp.org/search?q=Yuanchen+Bei) · [ACL Anthology](https://aclanthology.org/search/?q=Yuanchen+Bei)

## Affiliations

[🎓**University of Illinois Urbana-Champaign** Urbana · United States 2025–2026 · 22 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Zhejiang University** Hangzhou · China 2022–2026 · 22 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Hong Kong Polytechnic University** Hong Kong · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-polytechnic-university/)

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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [History and Philosophy of Science · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/)

🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yuanchen-bei/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/yuanchen-bei/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-survey-graph-retrieval-augmented-generation/)** *(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](https://md.research.elamur.ai/free/en/papers/li-2025-towards-agentic-rag-deep-reasoning/)** *(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](https://md.research.elamur.ai/free/en/papers/bei-2026-mem-gallery-benchmarking-multimodal-long/)** *(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](https://md.research.elamur.ai/free/en/papers/zhao-2026-papermind-benchmarking-agentic-reasoning-critique/)** *(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.

- [Hanghang Tong](https://md.research.elamur.ai/free/en/authors/hanghang-tong/) ×2
- [Jingrui He](https://md.research.elamur.ai/free/en/authors/jingrui-he/) ×2
- [Tianxin Wei](https://md.research.elamur.ai/free/en/authors/tianxin-wei/) ×2
- [Xuying Ning](https://md.research.elamur.ai/free/en/authors/xuying-ning/) ×2
- [Yanjun Zhao](https://md.research.elamur.ai/free/en/authors/yanjun-zhao/) ×2
- [Chuang Zhou](https://md.research.elamur.ai/free/en/authors/chuang-zhou/)
- [Chunkit Chan](https://md.research.elamur.ai/free/en/authors/chunkit-chan/)
- [Hao Chen](https://md.research.elamur.ai/free/en/authors/hao-chen/)
- [Henry Peng Zou](https://md.research.elamur.ai/free/en/authors/henry-peng-zou/)
- [Huachi Zhou](https://md.research.elamur.ai/free/en/authors/huachi-zhou/)
- [Jiaru Zou](https://md.research.elamur.ai/free/en/authors/jiaru-zou/)
- [Junnan Dong](https://md.research.elamur.ai/free/en/authors/junnan-dong/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## 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 →](https://md.research.elamur.ai/free/en/authors/yuanchen-bei/cited-by/).

Updated 2 November 2026
