--- title: "Junbo Niu — author profile and papers — Elamur Research" description: "Junbo Niu: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/junbo-niu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/junbo-niu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Junbo Niu # Junbo Niu Junbo Niu 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 [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/), [Fan Wu](https://md.research.elamur.ai/free/en/authors/fan-wu/), [Hao Liang](https://md.research.elamur.ai/free/en/authors/hao-liang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5157338154) · [**h-index 1**](https://openalex.org/authors/A5157338154) · [1 works](https://openalex.org/works?filter=author.id:A5157338154) · [7 citations](https://openalex.org/works?filter=author.id:A5157338154&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/junbo-niu/#papers) · [🔗 Cited 27 times in our library](https://md.research.elamur.ai/free/en/authors/junbo-niu/cited-by/) · [⭐ Paper Stars ranking: #9488](https://md.research.elamur.ai/free/en/paper-stars/page/95/#star-9488) 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=Junbo+Niu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Junbo+Niu) · [dblp](https://dblp.org/search?q=Junbo+Niu) · [ACL Anthology](https://aclanthology.org/search/?q=Junbo+Niu) ## 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).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/junbo-niu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing](https://md.research.elamur.ai/free/en/papers/niu-2026-mineru2-5-decoupled-vision-language/)** *(2026 · 35 citations)* Turning document images into structured text is difficult because pages are high-resolution, dense, and complex in layout. 2. **[MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-morphobench-benchmark-difficulty-adaptive-model/)** *(2026)* Static reasoning benchmarks quickly become too easy for frontier models. Many also reward recall of rare facts rather than logical inference. MorphoBench addresses this with a multidisciplinary benchmark whose difficulty can be tuned to the models being tested. ## Co-authors here 10 co-authors with a page, the most papers together first. - [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/) - [Fan Wu](https://md.research.elamur.ai/free/en/authors/fan-wu/) - [Hao Liang](https://md.research.elamur.ai/free/en/authors/hao-liang/) - [Jinbo Hu](https://md.research.elamur.ai/free/en/authors/jinbo-hu/) - [Linke Ouyang](https://md.research.elamur.ai/free/en/authors/linke-ouyang/) - [Mingrui Chen](https://md.research.elamur.ai/free/en/authors/mingrui-chen/) - [Qintong Zhang](https://md.research.elamur.ai/free/en/authors/qintong-zhang/) - [Zheng Liu](https://md.research.elamur.ai/free/en/authors/zheng-liu/) - [Zhenjiang Jin](https://md.research.elamur.ai/free/en/authors/zhenjiang-jin/) - [Zhiyuan Zhao](https://md.research.elamur.ai/free/en/authors/zhiyuan-zhao/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [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/) ## Cited by Papers of our library cite their works 27 times (of the 149,439 papers whose bibliographies we read); [14 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/junbo-niu/cited-by/). Updated 2 November 2026