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Jiayan Guo

Jiayan Guo has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining; often with Fei Huang, Hao Sun, Jingren Zhou.

2 papers in our library · 2023–2025

OpenAlex · ORCID · Wikidata · h-index 9 · 34 works · 414 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 157 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7496

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

🏢Alibaba GroupHangzhou · China2024–2026 · 8 paperscurrent🏢Alibaba DAMO AcademyHangzhou · China2024–2026 · 4 paperscurrent🏢Alibaba GroupGeorge Town · Cayman Islands2024–2026 · 3 paperscurrent🎓Peking UniversityBeijing · China2022–2025 · 14 papersEducation🎓Beijing Normal UniversityBeijing · China2024–2025 · 3 papers🎓Central University of Finance and EconomicsBeijing · China2018–2021 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking (2023 · 75 citations)
    Large language models perform well on text, but it is unclear how well they handle graphs, which are central to social network analysis, chemistry, recommendation and knowledge bases.
  2. ZeroSearch: Incentivize the Search Capability of LLMs without Searching (2025 · 50 citations)
    Training LLM agents to use web search through reinforcement learning usually means querying a live engine during rollouts.

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. GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and BenchmarkingarXiv:2305.15066Jiayan Guo, Lun Du, Hengyu Liu, et al.2023 · 75 citations
  2. ZeroSearch: Incentivize the Search Capability of LLMs without SearchingarXiv:2505.04588Hao Sun, Zile Qiao, Jiayan Guo, et al.2025 · 50 citations
  3. Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents ↗arXiv:2410.13185 · no summary yetLong Li et al.2024 · 47 citations

 Co-authors here

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

 Cited by

Papers of our library cite their works 157 times (of the 149,439 papers whose bibliographies we read); 50 citing papers with a page here →.

Updated

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