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Aoxiao Zhong

Aoxiao Zhong has 2 papers in our library, in 2026, most of them on Reasoning, Vision & language; often with Zhendong Chu, Boyan Li, Hang Li.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 15 · 26 works · 5,568 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 50 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10072

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

🎓City St George's, University of LondonLondon · United Kingdom2026 · 1 papercurrent🎓The Ohio State UniversityColumbus · United States2026 · 1 papercurrent🎓Harvard UniversityCambridge · United States2017–2025 · 16 papers🏥Massachusetts General HospitalBoston · United States2017–2024 · 5 papers🎓Zhejiang UniversityHangzhou · China2017 · 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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksMathematics · 1 workArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksApplied Mathematics · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 2 worksVision & 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. ARM2: Adaptive Reasoning Model with Vision Understanding and Executable Code (2026)
    Reasoning models trained with reinforcement learning tend to "over-think": they produce long chains of thought even for trivial questions, which wastes tokens and can lower accuracy.

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. LLM Agents for Education: Advances and Applications ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetZhendong Chu et al.2025 · 110 citations
  2. ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error DetectionFindings of the Association for Computational LinguisticsYibo Yan, Shen Wang, Jiahao Huo, et al.2026 · 23 citations
  3. ARM2: Adaptive Reasoning Model with Vision Understanding and Executable CodeFindings of the Association for Computational LinguisticsJian Xie, Zhendong Chu, Aoxiao Zhong, 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 50 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

Updated

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