🧑‍🔬 Xinke Jiang

🏛️ Affiliations

🎓Shanghai Jiao Tong UniversityShanghai · China2023–2026 · 6 paperscurrent🏥Shanghai Ninth People's HospitalShanghai · China2023–2026 · 6 paperscurrent🎓Peking UniversityBeijing · China2023–2025 · 13 papers🎓University of Electronic Science and Technology of ChinaChengdu · China2022–2025 · 2 papers🏥Peking University Shenzhen HospitalShenzhen · China2025Employment since 2025 · Stomatological Center

🏛️Shanghai Jiao Tong University School of Medicine Affiliated Ninth People's HospitalShanghai · China2019–2025Education 2019–2022 · MDS, Department of Oral ImplantologyEducation 2022–2025 · DDS, Department of Oral Medicine

🏛️Sichuan University West China College of StomatologyChengdu · China2014–2019Education 2014–2019 · BDS

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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. 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…
3. ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs (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 SystemsAnnual Meeting of the Association for Computational Linguistics (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 TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Yongxin Xu, Ruizhe Zhang, Xinke Jiang, et al.2025 · 9 citations
3. ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongxin Ding, Baixiang Huang, Yue Fang, et al.2026 · 4 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 of 14 co-authors with a page, the most papers together first.

• Junfeng Zhao ×3
• Ruizhe Zhang ×2
• Xinyu Ma ×2
• Xu Chu ×2
• Yasha Wang ×2
• Yongxin Xu ×2
• Yue Fang ×2
• Hao Chen
• Jinyang Zhang
• Wentao Zhang
• Yinghao Zhu
• 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) ×4: ACL 2026, 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 →.

Updated 1 November 2026

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