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Yuxin Zuo

Yuxin Zuo has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Information extraction; often with Yantao Liu, Fei Huang, Jianhong Tu.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 2 · 20 works · 10 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 95 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7383

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

🏛️Chinese Academy of SciencesBeijing · China2025–2026 · 4 paperscurrent🔬Institute of Computing TechnologyBeijing · China2025–2026 · 4 paperscurrent🎓Tsinghua UniversityBeijing · China2026 · 3 paperscurrent🎓Shanghai Jiao Tong UniversityShanghai · China2023–2026 · 2 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2026 · 1 papercurrent

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.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Information extraction · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction (2024 · 68 citations)
    Universal Information Extraction (UIE) uses one model to pull entities, relations and events under many different schemas.
  2. Qwen-AgentWorld: Language World Models for General Agents (2026)
    LLM agent research has mostly focused on the policy, which picks actions from states. The complementary piece is a world model that predicts the next state from a state and an action, and agents working in text-based environments still lack a general one. The Qwen Team builds such a model, Qwen-AgentWorld. It…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. KnowCoder: Coding Structured Knowledge into LLMs for Universal Information ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Zixuan Li, Yutao Zeng, Yuxin Zuo, et al.2024 · 68 citations
  2. Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe ↗arXiv:2604.13016 · no summary yetYaxuan Li et al.2026 · 58 citations
  3. Qwen-AgentWorld: Language World Models for General AgentsarXiv:2606.24597Yuxin Zuo, Zikai Xiao, Li Sheng, et al.2026

 Co-authors here

12 of 18 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 95 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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