--- title: "Junfeng Zhao — author profile and papers — Elamur Research" description: "Junfeng Zhao, Capital Medical University: 3 papers on Elamur Research (2025–2026), h-index 11 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/junfeng-zhao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/junfeng-zhao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Junfeng Zhao # Junfeng Zhao Junfeng Zhao has 3 papers in our library, in 2025–2026, 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 [Xinke Jiang](https://md.research.elamur.ai/free/en/authors/xinke-jiang/), [Ruizhe Zhang](https://md.research.elamur.ai/free/en/authors/ruizhe-zhang/), [Xinyu Ma](https://md.research.elamur.ai/free/en/authors/xinyu-ma/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5100304260) · [ORCID](https://orcid.org/0009-0001-2846-9981) · [**h-index 11**](https://openalex.org/authors/A5100304260) · [101 works](https://openalex.org/works?filter=author.id:A5100304260) · [435 citations](https://openalex.org/works?filter=author.id:A5100304260&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/junfeng-zhao/#papers) · [🔗 Cited 25 times in our library](https://md.research.elamur.ai/free/en/authors/junfeng-zhao/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8163](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8163) 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=Junfeng+Zhao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Junfeng+Zhao) · [dblp](https://dblp.org/search?q=Junfeng+Zhao) · [ACL Anthology](https://aclanthology.org/search/?q=Junfeng+Zhao) ## Affiliations [🎓**Peking University** Beijing · China 2022–2026 · 12 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏥**Beijing Friendship Hospital** Beijing · China 2026 · 3 papers*current*](https://ror.org/053qy4437) · [🎓**Capital Medical University** Beijing · China 2026 · 3 papers*current*](https://ror.org/013xs5b60) · [🎓**Arizona State University** Tempe · United States 2023–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/arizona-state-university/) · [🎓**Shandong University** Jinan · China 2015–2020 · 6 papers](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🎓**Shandong First Medical University** Jinan · China 2024–2025 · 5 papers](https://ror.org/05jb9pq57) · [🏥**Shandong Tumor Hospital** Jinan · China 2024–2025 · 5 papers](https://ror.org/01413r497) · [🎓**Yantai Nanshan University** Yantai · China 2022–2025 · 4 papers](https://ror.org/0499b1896) · [🏛️**Chinese Academy of Sciences** Beijing · China 2022–2024 · 4 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Guangzhou Institute of Geochemistry** Guangzhou · China 2022–2024 · 4 papers](https://ror.org/0356cst02) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 19 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 · 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/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) 🧭 Topics 2 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/junfeng-zhao/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/junfeng-zhao/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. **[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… 3. **[ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs](https://md.research.elamur.ai/free/en/papers/ding-2026-promed-shapley-information-gain-guided/)** *(2026 · 4 citations)* Most medical LLMs answer straight away from the patient's first description. When that description is incomplete, this can produce misdiagnoses. ProMed is a reinforcement learning framework that trains models to ask follow-up questions and collect missing clinical details before giving an answer. Its core is the… ## 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. **[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* 3. **[ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs](https://md.research.elamur.ai/free/en/papers/ding-2026-promed-shapley-information-gain-guided/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongxin Ding, Baixiang Huang, Yue Fang, et al.*2026 · 4 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 of 14 co-authors with a page, the most papers together first. - [Xinke Jiang](https://md.research.elamur.ai/free/en/authors/xinke-jiang/) ×3 - [Ruizhe Zhang](https://md.research.elamur.ai/free/en/authors/ruizhe-zhang/) ×2 - [Xinyu Ma](https://md.research.elamur.ai/free/en/authors/xinyu-ma/) ×2 - [Xu Chu](https://md.research.elamur.ai/free/en/authors/xu-chu/) ×2 - [Yasha Wang](https://md.research.elamur.ai/free/en/authors/yasha-wang/) ×2 - [Yongxin Xu](https://md.research.elamur.ai/free/en/authors/yongxin-xu/) ×2 - [Yue Fang](https://md.research.elamur.ai/free/en/authors/yue-fang/) ×2 - [Hao Chen](https://md.research.elamur.ai/free/en/authors/hao-chen/) - [Jinyang Zhang](https://md.research.elamur.ai/free/en/authors/jinyang-zhang/) - [Wentao Zhang](https://md.research.elamur.ai/free/en/authors/wentao-zhang/) - [Yinghao Zhu](https://md.research.elamur.ai/free/en/authors/yinghao-zhu/) - [Yujie Feng](https://md.research.elamur.ai/free/en/authors/yujie-feng/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2 ## Cited by Papers of our library cite their works 25 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/junfeng-zhao/cited-by/). Updated 1 November 2026