🧑‍🔬 Yongxin Xu

🏛️ Affiliations

🎓Peking UniversityBeijing · China2017–2026 · 24 paperscurrent🔬State Key Laboratory of Membrane BiologyBeijing2017–2022 · 4 papers🎓Center for Life SciencesBeijing · China2017–2022 · 3 papers🎓University of the Western CapeCape Town · South Africa2024–2025 · 2 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. TC–RAG: Turing–Complete RAG's Case study on Medical LLM Systems (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 (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 (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 SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinke Jiang, Yue Fang, Rihong Qiu, et al.2025 · 25 citations
2. Recurrent Knowledge Identification and Fusion for Language Model Continual LearningAnnual Meeting of the Association for Computational Linguistics (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 TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Yongxin Xu, Ruizhe Zhang, Xinke Jiang, et al.2025 · 9 citations
4. DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhibang Yang et al.2026

🤝 Co-authors here

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

• Xu Chu ×3
• Junfeng Zhao ×2
• Ruizhe Zhang ×2
• Xinke Jiang ×2
• Xinyu Ma ×2
• Yasha Wang ×2
• Yujie Feng ×2
• Hao Chen
• Philip S. Yu
• Wentao Zhang
• Yue Fang
• 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) ×4: 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 →.

Updated 30 October 2026

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