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Kuikun Liu

Kuikun Liu has 3 papers in our library, in 2024–2026; often with Kai Chen, Wenwei Zhang, Feng Zhao.

3 papers in our library · 2024–2026

OpenAlex · h-index 5 · 24 works · 135 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 429 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7080

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

🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2023–2026 · 14 paperscurrent🎓Shanghai Jiao Tong UniversityShanghai · China2020–2025 · 3 papers

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 2 works

 Works by year

2020s

20261 paper20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models (2024 · 64 citations)
    Open-source LLMs still perform much worse than API-based systems such as GPT-4 when used as agents. Tuning them on agent-specific data can also weaken their general skills. The authors make three diagnostic observations:
  2. MindSearch: Mimicking Human Minds Elicits Deep AI Searcher (2024 · 20 citations)
    Pairing LLMs with web search often fails on complex questions. A single retrieval pass rarely covers everything the question needs. Relevant facts are scattered across many noisy pages, and the combined page text quickly exceeds the model's context window. MindSearch addresses this with a two-role multi-agent design…
  3. SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information Integration (2026)
    Benchmarks for LLM search agents tend to focus on open-web, general-domain lookup or on closed-book science questions.

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. InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning ↗arXiv:2402.06332 · no summary yetHuaiyuan Ying et al.2024 · 90 citations
  2. Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language ModelsFindings of the Association for Computational LinguisticsZehui Chen, Kuikun Liu, Qiuchen Wang, et al.2024 · 64 citations
  3. MindSearch: Mimicking Human Minds Elicits Deep AI SearcherarXiv:2407.20183Zehui Chen, Kuikun Liu, Qiuchen Wang, et al.2024 · 20 citations
  4. SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information IntegrationFindings of the Association for Computational LinguisticsYinhao Tang, Youqing Fang, Yanan Sun, et al.2026

 Co-authors here

9 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 429 times (of the 149,439 papers whose bibliographies we read); 114 citing papers with a page here →.

Updated

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