---
title: "Yongxin Xu · Peking University — author profile and papers"
description: "Yongxin Xu, Peking University: 3 papers on Elamur Research (2025), h-index 7 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yongxin-xu/"
---
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# Yongxin Xu

Yongxin Xu has 3 papers in our library, in 2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Xu Chu](https://md.research.elamur.ai/free/en/authors/xu-chu/), [Junfeng Zhao](https://md.research.elamur.ai/free/en/authors/junfeng-zhao/), [Ruizhe Zhang](https://md.research.elamur.ai/free/en/authors/ruizhe-zhang/).

3 papers in our library · 2025

[OpenAlex](https://openalex.org/A5064595835) · [ORCID](https://orcid.org/0000-0002-7301-7984) · [**h-index 7**](https://openalex.org/authors/A5064595835) · [29 works](https://openalex.org/works?filter=author.id:A5064595835) · [189 citations](https://openalex.org/works?filter=author.id:A5064595835&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yongxin-xu/#papers) · [🔗 Cited 30 times in our library](https://md.research.elamur.ai/free/en/authors/yongxin-xu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7955](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7955)

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=Yongxin+Xu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yongxin+Xu) · [dblp](https://dblp.org/search?q=Yongxin+Xu) · [ACL Anthology](https://aclanthology.org/search/?q=Yongxin+Xu)

## Affiliations

[🎓**Peking University** Beijing · China 2017–2026 · 24 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🔬**State Key Laboratory of Membrane Biology** Beijing 2017–2022 · 4 papers](https://ror.org/03mq8q210) · [🎓**Center for Life Sciences** Beijing · China 2017–2022 · 3 papers](https://ror.org/05kje8j93) · [🎓**University of the Western Cape** Cape Town · South Africa 2024–2025 · 2 papers](https://ror.org/00h2vm590)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 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/)

🧭 Topics 2 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/)

## Works by year

### 2020s

[**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/yongxin-xu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[TC–RAG: Turing–Complete RAG's Case study on Medical LLM Systems](https://md.research.elamur.ai/free/en/papers/jiang-2025-tc-rag-turing-complete-rag/)** *(2025 · 25 citations)* Retrieval-augmented generation can reduce hallucinations and stale knowledge in medical LLMs. However, existing RAG pipelines lack an explicit state variable that tells the system when to stop retrieving, so they can loop without converging or pile up noisy context. The authors propose TC–RAG, which they prove to be…
2. **[Recurrent Knowledge Identification and Fusion for Language Model Continual Learning](https://md.research.elamur.ai/free/en/papers/feng-2025-recurrent-knowledge-identification-fusion-language/)** *(2025 · 11 citations)* This paper tackles continual learning for large language models, where a model must absorb tasks one after another without losing earlier skills (catastrophic forgetting) while still benefiting from links between tasks (knowledge transfer).
3. **[Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning](https://md.research.elamur.ai/free/en/papers/xu-2025-parenting-optimizing-knowledge-selection-retrieval/)** *(2025 · 9 citations)* Retrieval-augmented LLMs face two competing demands. They should trust retrieved evidence even when it contradicts what they memorized (adherence), and they should ignore retrieved passages that look relevant but are actually noise (robustness). Training aimed at one of these tends to hurt the other. The authors…

## All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[TC–RAG: Turing–Complete RAG's Case study on Medical LLM Systems](https://md.research.elamur.ai/free/en/papers/jiang-2025-tc-rag-turing-complete-rag/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinke Jiang, Yue Fang, Rihong Qiu, et al.*2025 · 25 citations*
2. **[Recurrent Knowledge Identification and Fusion for Language Model Continual Learning](https://md.research.elamur.ai/free/en/papers/feng-2025-recurrent-knowledge-identification-fusion-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yujie Feng, Xujia Wang, Zexin Lu, et al.*2025 · 11 citations*
3. **[Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning](https://md.research.elamur.ai/free/en/papers/xu-2025-parenting-optimizing-knowledge-selection-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yongxin Xu, Ruizhe Zhang, Xinke Jiang, et al.*2025 · 9 citations*
4. **[DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search ↗](https://aclanthology.org/2026.acl-long.1135/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhibang Yang et al.*2026*

## Co-authors here

12 co-authors with a page, the most papers together first.

- [Xu Chu](https://md.research.elamur.ai/free/en/authors/xu-chu/) ×3
- [Junfeng Zhao](https://md.research.elamur.ai/free/en/authors/junfeng-zhao/) ×2
- [Ruizhe Zhang](https://md.research.elamur.ai/free/en/authors/ruizhe-zhang/) ×2
- [Xinke Jiang](https://md.research.elamur.ai/free/en/authors/xinke-jiang/) ×2
- [Xinyu Ma](https://md.research.elamur.ai/free/en/authors/xinyu-ma/) ×2
- [Yasha Wang](https://md.research.elamur.ai/free/en/authors/yasha-wang/) ×2
- [Yujie Feng](https://md.research.elamur.ai/free/en/authors/yujie-feng/) ×2
- [Hao Chen](https://md.research.elamur.ai/free/en/authors/hao-chen/)
- [Philip S. Yu](https://md.research.elamur.ai/free/en/authors/philip-s-yu/)
- [Wentao Zhang](https://md.research.elamur.ai/free/en/authors/wentao-zhang/)
- [Yue Fang](https://md.research.elamur.ai/free/en/authors/yue-fang/)
- [Yuzhen Xiao](https://md.research.elamur.ai/free/en/authors/yuzhen-xiao/)

## 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/) ×4: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×3

## Cited by

Papers of our library cite their works 30 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yongxin-xu/cited-by/).

Updated 30 October 2026
