Elamur Research⌕
☰
home / authors / Shuhei Kurita

Shuhei Kurita

Shuhei Kurita has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks, Vision & language; often with Daisuke Kawahara, Chaoran Liu, Hirokazu Kiyomaru.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 7 · 82 works · 497 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 57 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #10996

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬National Institute of InformaticsTokyo · Japan2024–2026 · 37 papersEmployment since 2024current🎓Institute of Science TokyoTokyo · Japan2025–2026 · 7 paperscurrent🏢Chiyoda CorporationYokohama · Japan2026 · 1 papercurrent🏢Toyota Motor CorporationToyota · Japan2026 · 1 papercurrent🔬RIKENWako · Japan2019–2024 · 14 papersEmployment 2019–2024 · Postdoctoral Researcher, Center for Advanced Intelligence Project🔬RIKEN Center for Advanced Intelligence ProjectTokyo · Japan2019–2024 · 9 papers🎓Kyoto UniversityKyoto · Japan2015–2025 · 6 papersEducation 2015–2019 · Ph.D. of Informatics, Informatics🏛️Japan Science and Technology AgencyTokyo · Japan2022–2023 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksEvaluation & benchmarks · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Evaluating Multimodal Large Language Models on Vertically Written Japanese Text (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 (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 ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDaichi Azuma et al.2022 · 224 citations
  2. Prover Agent: An Agent-Based Framework for Formal Mathematical Proofs ↗arXiv:2506.19923 · no summary yetKaito Baba et al.2025 · 14 citations
  3. Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule ↗arXiv (Cornell University) · no summary yetShuhei Kurita, Kyunghyun Cho2020 · 14 citations
  4. LegalViz: Legal Text Visualization by Text To Diagram Generation ↗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 yetEri Onami et al.2025 · 6 citations
  5. Evaluating Multimodal Large Language Models on Vertically Written Japanese TextLanguage Resources and Evaluation Conference (LREC)Keito Sasagawa, Shuhei Kurita, Daisuke Kawahara2026 · 3 citations
  6. Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMsFindings of the Association for Computational LinguisticsYusuke Nakamura, Hirokazu Kiyomaru, Chaoran Liu, et al.2026
  7. Neuron Level Analysis of Large Language Model in Legal Domain Reasoning ↗arXiv:2606.15884 · no summary yetEri Onami et al.2026

 Co-authors here

3 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/shuhei-kurita/