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Junde Wu

Junde Wu has 3 papers in our library, in 2025, most of them on Reasoning, Language models & pretraining, Dialogue systems; often with Jiayuan Zhu, Min Xu, Yueming Jin.

3 papers in our library · 2025

OpenAlex · ORCID · h-index 15 · 43 works · 1,405 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 34 times in our library · ⭐ Paper Stars ranking: #6235

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of OxfordOxford · United Kingdom2024–2026 · 14 paperscurrent🏢BaiduBeijing · China2021–2023 · 8 papers🎓Harbin Institute of TechnologyHarbin · China2019–2020 · 5 papers🎓National University of SingaporeSingapore · Singapore2024–2025 · 3 papers🎓South China University of TechnologyGuangzhou · China2023–2024 · 2 papers🏢TencentShenzhen · China2020–2021 · 2 papers🏢Tencent HealthcareShenzhen · China2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 10The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksMedicine · 2 worksHealth Informatics · 2 worksComputer Vision and Pattern Recognition · 2 worksBiochemistry, Genetics and Molecular Biology · 1 workMolecular Biology · 1 workInformation Systems · 1 work

🧭 Topics 4Research subjects and languages the work is about.Information retrieval & search · 1 workReasoning · 2 worksLanguage models & pretraining · 1 workDialogue systems · 1 work

 Works by year

2020s

20253 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented Generation (2025 · 91 citations)
    LLMs used in medicine have two weaknesses. Domain knowledge is too large to fit in a context window, and fine-tuning closed commercial models is often impossible. They may also distort established facts in ways that non-experts cannot easily detect. MedGraphRAG addresses both problems by adapting GraphRAG to the…
  2. Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools (2025 · 45 citations)
    Reasoning LLMs trained with outcome-based reinforcement learning do well in math and code, where answers are easy to check.
  3. Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning (2025 · 10 citations)
    LLMs score at expert level on medical exam benchmarks, but they work poorly as conversational assistants. They often diagnose from the first message without asking follow-up questions. Their reasoning is not tied to trusted clinical sources, and their tone tends to be impersonal. The authors present APP (Ask Patients…

 Co-authors here

6 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.

 Cited by

Papers of our library cite their works 34 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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