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Qin Chen

Qin Chen has 5 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning, Evaluation & benchmarks; often with Jie Zhou, Liang He, Bo Jiang.

5 papers in our library · 2024–2026

OpenAlex · h-index 1 · 4 works · 2 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #8660

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

🎓East China Normal UniversityShanghai · China2026 · 4 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 13The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksArtificial Intelligence · 4 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksMathematics · 1 workApplied Mathematics · 1 workComputational Theory and Mathematics · 1 workComputer Vision and Pattern Recognition · 1 workComputer Science Applications · 1 workInformation Systems · 1 workPsychology · 1 workApplied Psychology · 1 workExperimental and Cognitive Psychology · 1 work

🧭 Topics 4Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 2 worksVision & language · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20264 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. A Survey of Inductive Reasoning for Large Language Models (2026 · 10 citations)
    Inductive reasoning moves from particular observations to general rules, and it often admits several valid answers.
  3. LLM-KT: Enhancing Large Language Models with Knowledge Tracing via Multi-Level Plug-and-Play Alignment (2026 · 1 citation)
    Knowledge Tracing (KT) estimates whether a learner will solve the next exercise from their earlier answers.
  4. PsychEval: A Multi-Session and Multi-Therapy Benchmark for High-Realism AI Psychological Counselor (2026 · 1 citation)
    Most benchmarks for AI mental-health assistants test isolated, single-turn exchanges. Real counseling, by contrast, unfolds over many sessions, depends on remembering the client's history, and often mixes therapeutic schools. PsychEval addresses this gap with a Chinese-language benchmark built by using LLMs (e.g.…
  5. TamEdit: Trajectory-Aware Meta-Learning for Specificity-Preserving Continual Knowledge Editing (2026 · 1 citation)
    The paper tackles a weakness of continual knowledge editing in large language models. When many factual updates are applied one after another, existing editors compute each change on its own, and unrelated knowledge gradually degrades. The authors call this specificity drift. They propose TamEdit, which treats a…

 Co-authors here

12 of 15 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 19 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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