--- title: "Yubo Wang · Shanghai University — author profile and papers" description: "Yubo Wang, Shanghai University: 3 papers on Elamur Research (2024–2026), h-index 9 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/yubo-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yubo-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yubo Wang # Yubo Wang Yubo Wang has 3 papers in our library, in 2024–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [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/); often with [Bo Li](https://md.research.elamur.ai/free/en/authors/bo-li/), [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/), [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5015617661) · [ORCID](https://orcid.org/0000-0002-0895-8745) · [**h-index 9**](https://openalex.org/authors/A5015617661) · [26 works](https://openalex.org/works?filter=author.id:A5015617661) · [412 citations](https://openalex.org/works?filter=author.id:A5015617661&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yubo-wang/#papers) · [🔗 Cited 675 times in our library](https://md.research.elamur.ai/free/en/authors/yubo-wang/cited-by/) · [⭐ Paper Stars ranking: #2854](https://md.research.elamur.ai/free/en/paper-stars/page/29/#star-2854) 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=Yubo+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yubo+Wang) · [dblp](https://dblp.org/search?q=Yubo+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Yubo+Wang) ## Affiliations [🎓**Nankai University** Tianjin · China 2020–2025 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/nankai-university/) · [🔬**State Key Laboratory of Medicinal Chemical Biology** Tianjin 2020–2025 · 9 papers*current*](https://ror.org/032p70522) · [🎓**Dalian Neusoft University of Information** Dalian · China 2025 · 1 paper*current*](https://ror.org/0304ty515) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🎓**Shanghai University** Shanghai · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-university/) · [🎓**Wuhan Institute of Technology** Wuhan · China 2025 · 1 paper*current*](https://ror.org/04jcykh16) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) 🧭 Topics 4 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [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/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Natural language understanding · 1 work](https://md.research.elamur.ai/free/en/concepts/natural-language-understanding/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yubo-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yubo-wang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yubo-wang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark](https://md.research.elamur.ai/free/en/papers/wang-2024-mmlu-pro-more-robust-challenging/)** *(2024 · 761 citations)* MMLU had become saturated as a benchmark. Frontier LLMs all clustered around 86–87%, scores shifted noticeably when the prompt changed, and part of the data was noisy or wrongly labelled. The authors built MMLU-Pro to give the field a harder test that separates models better. 2. **[MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale](https://md.research.elamur.ai/free/en/papers/guo-2025-mammoth-vl-eliciting-multimodal-reasoning/)** *(2025 · 40 citations)* Open-source multimodal LLMs tend to struggle with complex reasoning. A major reason is that their instruction-tuning data is mostly recycled from academic VQA-style sets such as VQA, AI2D, and ChartQA, which offer short answers and no step-by-step justification. The authors propose a low-cost pipeline built entirely… 3. **[Forest Before Trees: Latent Superposition for Efficient Visual Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-forest-before-trees-latent-superposition/)** *(2026 · 3 citations)* Chain-of-Thought helps vision-language models reason step by step. However, spelling out rationales as discrete text loses much of the continuous visual signal. Existing latent-reasoning methods avoid text but still train each hidden state to predict one exact next token, which pushes the model to commit to specific… ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Bo Li](https://md.research.elamur.ai/free/en/authors/bo-li/) - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) - [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/) - [Juntian Zhang](https://md.research.elamur.ai/free/en/authors/juntian-zhang/) - [Max Ku](https://md.research.elamur.ai/free/en/authors/max-ku/) - [Nils Lukas](https://md.research.elamur.ai/free/en/authors/nils-lukas/) - [Tianle Li](https://md.research.elamur.ai/free/en/authors/tianle-li/) - [Tianyu Zheng](https://md.research.elamur.ai/free/en/authors/tianyu-zheng/) - [Weiming Ren](https://md.research.elamur.ai/free/en/authors/weiming-ren/) - [Wenhu Chen](https://md.research.elamur.ai/free/en/authors/wenhu-chen/) - [Xiang Yue](https://md.research.elamur.ai/free/en/authors/xiang-yue/) - [Xueguang Ma](https://md.research.elamur.ai/free/en/authors/xueguang-ma/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 675 times (of the 149,439 papers whose bibliographies we read); [191 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yubo-wang/cited-by/). Updated 1 November 2026