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Yuyuan Liu

Yuyuan Liu has 2 papers in our library, in 2025, most of them on Reasoning, Language models & pretraining, Dialogue systems; often with Jiayuan Zhu, Junde Wu, Fenglin Liu.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 17 · 40 works · 1,320 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 22 times in our library · ⭐ Paper Stars ranking: #7695

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

🎓Sichuan UniversityChengdu · China2020–2025 · 2 paperscurrent🔬State Key Laboratory of BiotherapyChengdu2025 · 1 papercurrent🏥West China Hospital of Sichuan UniversityChengdu · China2025 · 1 papercurrent🎓Shandong UniversityJinan · China2015–2024 · 11 papers🎓China Pharmaceutical UniversityNanjing · China2015–2018 · 4 papers🏥Qilu Hospital of Shandong UniversityJinan · China2017–2023 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workMedicine · 1 workHealth Informatics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 workDialogue systems · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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 22 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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