🧑‍🔬 Yuanhao Yue

🏛️ Affiliations

🏢Alibaba GroupHangzhou · China2024–2026 · 12 paperscurrent🎓Shanghai Jiao Tong UniversityShanghai · China2026 · 3 paperscurrent🎓East China Jiaotong UniversityNanchang · China2026 · 2 paperscurrent🎓Wuhan UniversityWuhan · China2019–2024 · 6 papers🎓Fudan UniversityShanghai · China2024–2025 · 4 papersEducation

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. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity (2023 · 171 citations)
   Large language models are increasingly used as knowledge sources in search, chat assistants and high-stakes fields such as medicine, law and finance, yet they often state things that contradict established facts.
2. Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance (2026 · 5 citations)
   The paper addresses AI help for authors writing rebuttals during peer review. Existing tools either fine-tune models on paper–response pairs, which tends to invent experimental results, or rely on long, opaque chat sessions with proprietary LLMs. The authors treat the task as organizing decisions and evidence rather…
3. AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool Use (2026)
   Industrial agent systems often run on large proprietary or open models, which costs too much at scale. Major labs rarely release small models with strong tool-use skills. This Alibaba paper presents AgenticQwen, a family of compact agents that use small Qwen models as their foundation. Their training relies on…

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. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
2. SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines ↗arXiv:2502.14739 · no summary yetM-A-P Team et al.2025 · 89 citations
3. Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response AssistanceAnnual Meeting of the Association for Computational Linguistics (ACL)Qianli Ma, Chang Guo, Zhiheng Tian, et al.2026 · 5 citations
4. AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool UseAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanjie Lyu, Chengyu Wang, Haonan Zheng, et al.2026

🤝 Co-authors here

12 of 15 co-authors with a page, the most papers together first.

• Cheng Jiayang
• Chengyu Wang
• Cunxiang Wang
• Jun Huang
• Linyi Yang
• Ming Wang
• Qianli Ma
• Wenyang Gao
• Xiangru Tang
• Xuming Hu
• Yidong Wang
• Yuanjie Lyu

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) ×2: ACL 2026 ×2

🔗 Cited by

Papers of our library cite their works 207 times (of the 149,439 papers whose bibliographies we read); 62 citing papers with a page here →.

Updated 1 November 2026

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