--- title: "Junjue Wang — author profile and papers — Elamur Research" description: "Junjue Wang, The University of Tokyo: 3 papers on Elamur Research (2025–2026), h-index 28 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/junjue-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/junjue-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Junjue Wang # Junjue Wang Junjue Wang has 3 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Heli Qi](https://md.research.elamur.ai/free/en/authors/heli-qi/), [Qingcheng Zeng](https://md.research.elamur.ai/free/en/authors/qingcheng-zeng/), [Weihao Xuan](https://md.research.elamur.ai/free/en/authors/weihao-xuan/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5062779308) · [ORCID](https://orcid.org/0000-0002-9500-3399) · [**h-index 28**](https://openalex.org/authors/A5062779308) · [85 works](https://openalex.org/works?filter=author.id:A5062779308) · [3,581 citations](https://openalex.org/works?filter=author.id:A5062779308&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/junjue-wang/#papers) · [🔗 Cited 74 times in our library](https://md.research.elamur.ai/free/en/authors/junjue-wang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7006](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7006) 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=Junjue+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Junjue+Wang) · [dblp](https://dblp.org/search?q=Junjue+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Junjue+Wang) ## Affiliations [🎓**The University of Tokyo** Tokyo · Japan 2024–2026 · 27 papersEmployment 2024–2026 · Project Researcher, Department of Complexity Science and EngineeringEmployment since 2026 · Assistant Professor, Department of Complexity Science and Engineering*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-tokyo/) · [🎓**Wuhan University** Wuhan · China 2019–2024 · 30 papersEmployment 2019–2024 · State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing](https://md.research.elamur.ai/free/en/universities/wuhan-university/) · [🔬**State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing** Wuhan · China 2019–2024 · 25 papers](https://ror.org/02bpap860) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2016–2021 · 15 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**University of Wisconsin–Madison** Madison · United States 2014 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-madison/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## 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).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 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 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 5 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/junjue-wang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/junjue-wang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation](https://md.research.elamur.ai/free/en/papers/xuan-2025-mmlu-prox-multilingual-benchmark-advanced/)** *(2025 · 75 citations)* Evaluating LLMs across languages has two gaps. Demanding reasoning benchmarks such as MMLU-Pro exist mainly in English. Multilingual suites like Global-MMLU combine translation sources of uneven quality and pose easier questions. The authors address both with MMLU-ProX, which carries the ten-option, reasoning-heavy… 2. **[Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/xuan-2025-seeing-is-believing-but-how/)** *(2025 · 11 citations)* Vision-language models (VLMs) can state in plain language how sure they are of an answer. This study asks whether that stated confidence actually tracks how often they are correct. The authors evaluate verbalized calibration across three model families: instruction-tuned, text-reasoning, and visual-reasoning… 3. **[The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents](https://md.research.elamur.ai/free/en/papers/xuan-2026-confidence-dichotomy-analyzing-mitigating-miscalibration/)** *(2026 · 2 citations)* The paper asks whether tool use always worsens how well LLM agents' stated confidence matches their real accuracy, or whether the effect depends on the tool. ## All works 5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery ↗](https://doi.org/10.1109/tpami.2023.3296757) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Zhuo Zheng et al.*2023 · 93 citations* 2. **[MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation](https://md.research.elamur.ai/free/en/papers/xuan-2025-mmlu-prox-multilingual-benchmark-advanced/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Weihao Xuan, Rui Yang, Heli Qi, et al.*2025 · 75 citations* 3. **[Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/xuan-2025-seeing-is-believing-but-how/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Weihao Xuan, Qingcheng Zeng, Heli Qi, et al.*2025 · 11 citations* 4. **[The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents](https://md.research.elamur.ai/free/en/papers/xuan-2026-confidence-dichotomy-analyzing-mitigating-miscalibration/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weihao Xuan, Qingcheng Zeng, Heli Qi, et al.*2026 · 2 citations* 5. **[Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations ↗](https://arxiv.org/abs/2605.11633) arXiv (Cornell University) · no summary yet**Junjue Wang et al.*2026* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Heli Qi](https://md.research.elamur.ai/free/en/authors/heli-qi/) ×3 - [Qingcheng Zeng](https://md.research.elamur.ai/free/en/authors/qingcheng-zeng/) ×3 - [Weihao Xuan](https://md.research.elamur.ai/free/en/authors/weihao-xuan/) ×3 - [Naoto Yokoya](https://md.research.elamur.ai/free/en/authors/naoto-yokoya/) ×2 - [Yunze Xiao](https://md.research.elamur.ai/free/en/authors/yunze-xiao/) ×2 - [Aosong Feng](https://md.research.elamur.ai/free/en/authors/aosong-feng/) - [Fan Gao](https://md.research.elamur.ai/free/en/authors/fan-gao/) - [Jinghui Lu](https://md.research.elamur.ai/free/en/authors/jinghui-lu/) - [Rui Yang](https://md.research.elamur.ai/free/en/authors/rui-yang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ×2 - [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/) - IEEE Transactions on Pattern Analysis and Machine Intelligence ## Cited by Papers of our library cite their works 74 times (of the 149,439 papers whose bibliographies we read); [22 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/junjue-wang/cited-by/). Updated 31 October 2026