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Zhihong Zhu

Zhihong Zhu has 2 papers in our library, in 2026, most of them on Vision & language, Language models & pretraining, Evaluation & benchmarks; often with Xian Wu, Zhiqi Huang.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 9 · 32 works · 199 citations OpenAlex, 2026-10-14

📄 2 works in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11775

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

🎓Peking UniversityBeijing · China2023–2026 · 22 papersEmploymentcurrent🎓Central China Normal UniversityWuhan · China2025 · 3 papers🏢TencentShenzhen · China2025 · 3 papers🎓Shanghai UniversityShanghai · China2024–2025 · 2 papers

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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 1 workHealth Informatics · 1 workMedicine · 1 work

🧭 Topics 4Research subjects and languages the work is about.Vision & language · 2 worksEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language Models (2026 · 1 citation)
    Most vision-language benchmarks score only whether the final answer is correct. They cannot show whether a model actually understands why a line of reasoning breaks down. MMErroR addresses this by testing whether VLMs can spot a flawed multimodal reasoning chain and name the kind of mistake it contains.
  2. Multimodal Dual-Path Decoding for Medical Report Generation (2026)
    This Findings of ACL 2026 paper automatically writes chest X-ray reports. Its PDF title reads "…Large-Model Decoding for Radiology Report Generation". The authors argue that vision-language models see the image well but lack medical background knowledge. Text-only LLMs have the opposite profile. To combine them, they…

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. DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetZhihong Zhu et al.2024 · 9 citations
  2. MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Shi, Yifeng Xie, Minzhe Guo, et al.2026 · 1 citation
  3. Multimodal Dual-Path Decoding for Medical Report GenerationFindings of the Association for Computational LinguisticsJinghan Sun, Dong Wei, Zhihong Zhu, et al.2026

 Co-authors here

2 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.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/zhihong-zhu/