🧑‍🔬 Qiufeng Wang

🧭 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. Dunhuang-Bench: How Well Do MLLMs Understand Cultural Heritage? (2026)
   Multimodal large language models (MLLMs) do well on general vision–language benchmarks, but their grasp of Dunhuang art had not been tested.
2. MEUR: A Benchmark for Evaluating Vision-Language Models on Multimodal Event Understanding and Reasoning (2026)
   Most visual question answering benchmarks test objects, attributes and spatial relations. Datasets such as VQA-E and GQA include few questions about actions or events, and those can often be solved through shortcuts. The authors introduce MEUR, a benchmark that checks whether VLMs understand what is happening in an…

🤝 Co-authors here

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

• Anh Nguyen
• Hongbin Na
• Jian Zhang
• Ling Chen
• Qi Chen
• Tong Chen
• Yuqi Wang
• Zimu Wang

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
• Language Resources and Evaluation Conference (LREC): LREC 2026

Updated 2 November 2026

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