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Aimin Zhou

Aimin Zhou has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Dialogue systems, Reasoning; often with Bo Jiang, Ji Wu, Jiaju Lin.

3 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 39 · 251 works · 10,291 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 34 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7302

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

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.

 Works by year

2020s

 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. CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models (2024 · 13 citations)
    Most multimodal math benchmarks for large multimodal models (LMMs), such as MATHVISTA and MATH-V, are English-only and are built for evaluation rather than training.
  3. AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment (2026)
    Context-based tests are an established way to measure human creative thinking. Future-oriented problem scenarios in the tradition of the Future Problem Solving Program are a common example. Writing such long-form contexts is slow expert work. Plain LLM prompting tends to produce texts with too few embedded assessment…

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. Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHanyang Wang et al.2023 · 109 citations
  2. EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent EducationarXiv:2308.02773Yuhao Dan, Zhikai Lei, Yiyang Gu, et al.2023 · 58 citations

 Co-authors here

12 of 17 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 34 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

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