🧑‍🔬 Yuxuan Sun

🏛️ Affiliations

🎓Zhejiang UniversityHangzhou · China2020–2026 · 17 paperscurrent🎓Westlake UniversityHangzhou · China2022–2026 · 9 paperscurrent🎓Dalian University of TechnologyDalian · China2021–2026 · 2 paperscurrent🎓Hangzhou Medical CollegeHangzhou · China2026 · 1 papercurrent🏥Liaoning Cancer Hospital & InstituteShenyang · China2026 · 1 papercurrent🏥Zhejiang Provincial People's HospitalHangzhou · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI (2023 · 1,005 citations)
   Multimodal models score very well on everyday visual benchmarks such as VQA-v2 and RefCOCO, but these tests rarely require specialist knowledge.
2. SWE-Mutation: Can LLMs Generate Reliable Test Suites in Software Engineering? (2026 · 1 citation)
   Training and evaluating LLMs for software engineering depends on test suites, both for synthesizing repair trajectories and for providing reward signals in reinforcement learning.

All works

4 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. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIIEEE Computer Society Conference on Computer Vision and Pattern RecognitionXiang Yue, Yuansheng Ni, Kai Zhang, et al.2023 · 1,005 citations
2. MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark ↗arXiv:2409.02813 · no summary yetXiang Yue et al.2024 · 123 citations
3. RIVA: A Pre-trained Tweet Multimodal Model Based on Text-image Relation for Multimodal NER ↗Proceedings of the 28th International Conference on Computational Linguistics · no summary yetLin Sun et al.2020 · 67 citations
4. SWE-Mutation: Can LLMs Generate Reliable Test Suites in Software Engineering?Findings of the Association for Computational LinguisticsYuxuan Sun, Yuze Zhao, Yufeng Wang, et al.2026 · 1 citation

🤝 Co-authors here

12 co-authors with a page, the most papers together first.

• Kai Zhang ×2
• Cong Wei
• Dongfu Jiang
• Ge Zhang
• Mengdi Zhang
• Samuel Stevens
• Tianyu Zheng
• Weiming Ren
• Xiang Yue
• Yuansheng Ni
• Zhenya Huang
• Zhiyuan Ma

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition: IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2023
• Proceedings of the 28th International Conference on Computational Linguistics

🔗 Cited by

Papers of our library cite their works 726 times (of the 149,439 papers whose bibliographies we read); 157 citing papers with a page here →.

Updated 1 November 2026

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