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Zhikai Lei

Zhikai Lei has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Dialogue systems; often with Aimin Zhou, Hang Yan, Jiaju Lin.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 3 · 17 works · 56 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 29 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7579

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

🎓Fudan UniversityShanghai · China2026 · 1 papercurrent🎓East China Normal UniversityShanghai · China2023–2025 · 5 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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksMedicine · 1 workArtificial Intelligence · 2 worksHealth Informatics · 1 workInformation Systems · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksDialogue systems · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education (2023 · 58 citations)
    General-purpose LLMs are poorly suited to education. They lack subject and pedagogical knowledge, their knowledge goes stale, and they tend to hallucinate. EduChat is an open-source chatbot built to serve teachers, students and parents. The authors draw on educational and psychological theory and train it in two…
  2. GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? (2024 · 1 citation)
    LLMs often score well on human-designed benchmarks, but it is unclear whether those scores reflect real, human-like ability or are inflated by data leakage and narrow test coverage.

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. EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent EducationarXiv:2308.02773Yuhao Dan, Zhikai Lei, Yiyang Gu, et al.2023 · 58 citations
  2. GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs?arXiv:2412.10056Zhikai Lei, Tianyi Liang, Hanglei Hu, et al.2024 · 1 citation
  3. ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetJie Yang et al.2026

 Co-authors here

12 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 29 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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