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 7Arts and Humanities · 3 works Computer Science · 3 works Artificial Intelligence · 3 works Language and Linguistics · 3 works Information Systems · 2 works Health Informatics · 1 work Medicine · 1 work

🧭 Topics 2Information retrieval & search · 1 work Language models & pretraining · 1 work

Works by year

2020s

20261 paper 20252 papers

Papers

The most cited first (OpenAlex and our library).

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…
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…
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.

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
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
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
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.

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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🧑‍🔬 Junfeng Zhao

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Junfeng Zhao

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by