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Jiamin Su

Jiamin Su has 2 papers in our library, in 2026, most of them on Vision & language, Reasoning, Grammatical error correction & learner language; often with Yibo Yan, Boyan Li, Han Zhang.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 8 · 21 works · 176 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 26 times in our library · ⭐ Paper Stars ranking: #8633

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

🎓The Hong Kong University of Science and Technology (Guangzhou)Guangzhou · China2026 · 1 papercurrent🎓Yangzhou UniversityYangzhou · China2022–2024 · 4 papers🎓Heilongjiang UniversityHarbin · China2013–2016 · 4 papers🎓Beijing University of Chemical TechnologyBeijing · China2022 · 2 papers🔬State Key Laboratory of Organic-Inorganic Composite MaterialsBeijing · China2022 · 2 papers🎓South China Agricultural UniversityGuangzhou · China2013 · 2 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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksMathematics · 1 workArtificial Intelligence · 2 worksApplied Mathematics · 1 workComputer Vision and Pattern Recognition · 1 workArts and Humanities · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Vision & language · 2 worksReasoning · 1 workGrammatical error correction & learner language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection (2026 · 23 citations)
    Existing math benchmarks for multimodal large language models (MLLMs) mostly check whether a model can solve a problem.
  2. CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring (2026 · 4 citations)
    Multimodal writing tasks ask students to argue from images such as charts. Scoring them automatically is hard. Classic AES systems depend on handcrafted features and cannot process images. Single-MLLM scorers tend to invent justifications and grade more harshly than human raters. CAFES addresses this by dividing…

 Co-authors here

10 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 26 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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