--- title: "Shuhei Kurita — author profile and papers — Elamur Research" description: "Shuhei Kurita, National Institute of Informatics: 2 papers on Elamur Research (2026), h-index 7 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/shuhei-kurita/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shuhei-kurita/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shuhei Kurita # Shuhei Kurita Shuhei Kurita 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Daisuke Kawahara](https://md.research.elamur.ai/free/en/authors/daisuke-kawahara/), [Chaoran Liu](https://md.research.elamur.ai/free/en/authors/chaoran-liu/), [Hirokazu Kiyomaru](https://md.research.elamur.ai/free/en/authors/hirokazu-kiyomaru/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5073732915) · [ORCID](https://orcid.org/0000-0001-7415-3120) · [Wikidata](https://www.wikidata.org/wiki/Q90440816) · [**h-index 7**](https://openalex.org/authors/A5073732915) · [82 works](https://openalex.org/works?filter=author.id:A5073732915) · [497 citations](https://openalex.org/works?filter=author.id:A5073732915&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shuhei-kurita/#papers) · [🔗 Cited 57 times in our library](https://md.research.elamur.ai/free/en/authors/shuhei-kurita/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10996](https://md.research.elamur.ai/free/en/paper-stars/page/110/#star-10996) 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=Shuhei+Kurita) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shuhei+Kurita) · [dblp](https://dblp.org/search?q=Shuhei+Kurita) · [ACL Anthology](https://aclanthology.org/search/?q=Shuhei+Kurita) ## Affiliations [🔬**National Institute of Informatics** Tokyo · Japan 2024–2026 · 37 papersEmployment since 2024*current*](https://md.research.elamur.ai/free/en/labs/national-institute-of-informatics/) · [🎓**Institute of Science Tokyo** Tokyo · Japan 2025–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/institute-of-science-tokyo/) · [🏢**Chiyoda Corporation** Yokohama · Japan 2026 · 1 paper*current*](https://ror.org/049svd053) · [🏢**Toyota Motor Corporation** Toyota · Japan 2026 · 1 paper*current*](https://ror.org/02zqm6r10) · [🔬**RIKEN** Wako · Japan 2019–2024 · 14 papersEmployment 2019–2024 · Postdoctoral Researcher, Center for Advanced Intelligence Project](https://md.research.elamur.ai/free/en/labs/riken/) · [🔬**RIKEN Center for Advanced Intelligence Project** Tokyo · Japan 2019–2024 · 9 papers](https://md.research.elamur.ai/free/en/labs/riken-center-for-advanced-intelligence-project/) · [🎓**Kyoto University** Kyoto · Japan 2015–2025 · 6 papersEducation 2015–2019 · Ph.D. of Informatics, Informatics](https://md.research.elamur.ai/free/en/universities/kyoto-university/) · [🏛️**Japan Science and Technology Agency** Tokyo · Japan 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/government/japan-science-and-technology-agency/) 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).[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 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [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/shuhei-kurita/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Evaluating Multimodal Large Language Models on Vertically Written Japanese Text](https://md.research.elamur.ai/free/en/papers/sasagawa-2026-evaluating-multimodal-large-language-models/)** *(2026 · 3 citations)* Multimodal LLMs are increasingly used to understand document images, but OCR benchmarks for them focus mostly on horizontal text. 2. **[Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMs](https://md.research.elamur.ai/free/en/papers/nakamura-2026-demystifying-mixed-outcomes-self-training/)** *(2026)* Studies of self-training disagree. Some report that LLMs improve when retrained on their own outputs, while others report model collapse. The authors suspect the disagreement comes from different experimental setups: strong models with engineered pipelines on one side, and toy models with unconditional generation on… ## All works 7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[ScanQA: 3D Question Answering for Spatial Scene Understanding ↗](https://doi.org/10.1109/cvpr52688.2022.01854) 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**Daichi Azuma et al.*2022 · 224 citations* 2. **[Prover Agent: An Agent-Based Framework for Formal Mathematical Proofs ↗](https://arxiv.org/abs/2506.19923) arXiv:2506.19923 · no summary yet**Kaito Baba et al.*2025 · 14 citations* 3. **[Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule ↗](https://arxiv.org/abs/2009.07783) arXiv (Cornell University) · no summary yet**Shuhei Kurita, Kyunghyun Cho*2020 · 14 citations* 4. **[LegalViz: Legal Text Visualization by Text To Diagram Generation ↗](https://aclanthology.org/2025.naacl-long.339/) Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Eri Onami et al.*2025 · 6 citations* 5. **[Evaluating Multimodal Large Language Models on Vertically Written Japanese Text](https://md.research.elamur.ai/free/en/papers/sasagawa-2026-evaluating-multimodal-large-language-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Keito Sasagawa, Shuhei Kurita, Daisuke Kawahara*2026 · 3 citations* 6. **[Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMs](https://md.research.elamur.ai/free/en/papers/nakamura-2026-demystifying-mixed-outcomes-self-training/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yusuke Nakamura, Hirokazu Kiyomaru, Chaoran Liu, et al.*2026* 7. **[Neuron Level Analysis of Large Language Model in Legal Domain Reasoning ↗](https://arxiv.org/abs/2606.15884) arXiv:2606.15884 · no summary yet**Eri Onami et al.*2026* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Daisuke Kawahara](https://md.research.elamur.ai/free/en/authors/daisuke-kawahara/) ×2 - [Chaoran Liu](https://md.research.elamur.ai/free/en/authors/chaoran-liu/) - [Hirokazu Kiyomaru](https://md.research.elamur.ai/free/en/authors/hirokazu-kiyomaru/) ## 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/) - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) ## Cited by Papers of our library cite their works 57 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/shuhei-kurita/cited-by/). Updated 1 November 2026