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Huichi Zhou

Huichi Zhou has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Vision & language; often with Dongping Chen, Lichao Sun, Pan Zhou.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 4 · 30 works · 54 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 55 times in our library · ⭐ Paper Stars ranking: #8776

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

🎓Imperial College LondonLondon · United Kingdom2024–2026 · 11 paperscurrent🎓University College LondonLondon · United Kingdom2026 · 5 paperscurrent🎓Qilu University of TechnologyJinan · China2026 · 1 papercurrent🎓Shandong Academy of SciencesJinan · China2026 · 1 papercurrent🎓Tsinghua UniversityBeijing · China2026 · 1 papercurrent🎓North China Electric Power UniversityBeijing · China2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📚 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 · 1 workLanguage and Linguistics · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark (2024 · 60 citations)
    Automatic metrics for multimodal model outputs, such as exact matching or embedding similarity, miss fine-grained quality criteria.
  2. How Adversarial Environments Mislead Agentic AI? (2026)
    The paper argues that tool-using LLM agents are tested on whether they use tools well, but rarely on whether they doubt tools that return manipulated output.

 Co-authors here

7 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 55 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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