--- title: "Qiufeng Wang — author profile and papers — Elamur Research" description: "Qiufeng Wang: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/qiufeng-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qiufeng-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qiufeng Wang # Qiufeng Wang Qiufeng Wang has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Anh Nguyen](https://md.research.elamur.ai/free/en/authors/anh-nguyen/), [Hongbin Na](https://md.research.elamur.ai/free/en/authors/hongbin-na/), [Jian Zhang](https://md.research.elamur.ai/free/en/authors/jian-zhang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5135203739) · [**h-index 0**](https://openalex.org/authors/A5135203739) · [1 works](https://openalex.org/works?filter=author.id:A5135203739) · [0 citations](https://openalex.org/works?filter=author.id:A5135203739&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/qiufeng-wang/#papers) · [⭐ Paper Stars ranking: #13858](https://md.research.elamur.ai/free/en/paper-stars/page/139/#star-13858) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Qiufeng+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qiufeng+Wang) · [dblp](https://dblp.org/search?q=Qiufeng+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Qiufeng+Wang) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 4 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/qiufeng-wang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Dunhuang-Bench: How Well Do MLLMs Understand Cultural Heritage?](https://md.research.elamur.ai/free/en/papers/yuan-2026-dunhuang-bench-how-well-do/)** *(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](https://md.research.elamur.ai/free/en/papers/wang-2026-meur-benchmark-evaluating-vision-language/)** *(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](https://md.research.elamur.ai/free/en/authors/anh-nguyen/) - [Hongbin Na](https://md.research.elamur.ai/free/en/authors/hongbin-na/) - [Jian Zhang](https://md.research.elamur.ai/free/en/authors/jian-zhang/) - [Ling Chen](https://md.research.elamur.ai/free/en/authors/ling-chen/) - [Qi Chen](https://md.research.elamur.ai/free/en/authors/qi-chen/) - [Tong Chen](https://md.research.elamur.ai/free/en/authors/tong-chen/) - [Yuqi Wang](https://md.research.elamur.ai/free/en/authors/yuqi-wang/) - [Zimu Wang](https://md.research.elamur.ai/free/en/authors/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](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/) Updated 2 November 2026