--- title: "Naoto Yokoya — author profile and papers — Elamur Research" description: "Naoto Yokoya, RIKEN: 3 papers on Elamur Research (2025–2026), h-index 64 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/naoto-yokoya/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/naoto-yokoya/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Naoto Yokoya # Naoto Yokoya Naoto Yokoya 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/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); 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/A5034435383) · [ORCID](https://orcid.org/0000-0002-7321-4590) · [**h-index 64**](https://openalex.org/authors/A5034435383) · [283 works](https://openalex.org/works?filter=author.id:A5034435383) · [17,815 citations](https://openalex.org/works?filter=author.id:A5034435383&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/naoto-yokoya/#papers) · [🔗 Cited 10 times in our library](https://md.research.elamur.ai/free/en/authors/naoto-yokoya/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10739](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10739) 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=Naoto+Yokoya) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Naoto+Yokoya) · [dblp](https://dblp.org/search?q=Naoto+Yokoya) · [ACL Anthology](https://aclanthology.org/search/?q=Naoto+Yokoya) ## Affiliations [🎓**The University of Tokyo** Tokyo · Japan 2010–2026 · 176 papersEmployment since 2020*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-tokyo/) · [🔬**RIKEN Center for Advanced Intelligence Project** Tokyo · Japan 2018–2026 · 136 papers*current*](https://md.research.elamur.ai/free/en/labs/riken-center-for-advanced-intelligence-project/) · [🔬**RIKEN** Wako · Japan 2019–2026 · 22 papers*current*](https://md.research.elamur.ai/free/en/labs/riken/) · [🔬**Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)** Cologne · Germany 2016–2021 · 12 papers](https://ror.org/04bwf3e34) · [🎓**Technical University of Munich** Munich · Germany 2016–2017 · 10 papers](https://md.research.elamur.ai/free/en/universities/technical-university-of-munich/) · [🎓**Tokyo University of Agriculture and Technology** Tokyo · Japan 2019 · 4 papers](https://md.research.elamur.ai/free/en/universities/tokyo-university-of-agriculture-and-technology/) · [🎓**Nara Institute of Science and Technology** Ikoma · Japan 1996–2003 · 4 papers](https://md.research.elamur.ai/free/en/universities/nara-institute-of-science-and-technology/) 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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 5 Research subjects and languages the work is about.[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/) · [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/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/naoto-yokoya/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/naoto-yokoya/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[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… 2. **[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. 3. **[Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers](https://md.research.elamur.ai/free/en/papers/zeng-2026-code-switching-information-retrieval-benchmarks/)** *(2026 · 1 citation)* Search engines and RAG pipelines are mostly built and tested on single-language queries, yet many bilingual users mix languages when they search. ## All works 7 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. **[Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising ↗](https://doi.org/10.1109/cvpr.2019.00703) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Wei Ping He et al.*2019 · 192 citations* 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/) [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* 3. **[Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards ↗](https://arxiv.org/abs/2509.21882) arXiv (Cornell University) · no summary yet**Fang Wu et al.*2025 · 3 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. **[Code-Switching Information Retrieval: Benchmarks, Analysis, and the Limits of Current Retrievers](https://md.research.elamur.ai/free/en/papers/zeng-2026-code-switching-information-retrieval-benchmarks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qingcheng Zeng, Yuheng Lu, Zeqi Zhou, et al.*2026 · 1 citation* 6. **[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* 7. **[Proteo-R1: Reasoning Foundation Models for De Novo Protein Design ↗](https://arxiv.org/abs/2605.02937) arXiv (Cornell University) · no summary yet**Fang Wu et al.*2026* ## Co-authors here 8 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 - [Junjue Wang](https://md.research.elamur.ai/free/en/authors/junjue-wang/) ×2 - [Hitomi Yanaka](https://md.research.elamur.ai/free/en/authors/hitomi-yanaka/) - [Puxuan Yu](https://md.research.elamur.ai/free/en/authors/puxuan-yu/) - [Yuheng Lu](https://md.research.elamur.ai/free/en/authors/yuheng-lu/) - [Yunze Xiao](https://md.research.elamur.ai/free/en/authors/yunze-xiao/) ## 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/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - [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/) - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ## Cited by Papers of our library cite their works 10 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/naoto-yokoya/cited-by/). Updated 1 November 2026