--- title: "Kazutoshi Shinoda — author profile and papers in our library" description: "Kazutoshi Shinoda, NTT: 2 papers on Elamur Research (2026), h-index 5 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/kazutoshi-shinoda/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kazutoshi-shinoda/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kazutoshi Shinoda # Kazutoshi Shinoda Kazutoshi Shinoda 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/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Kyosuke Nishida](https://md.research.elamur.ai/free/en/authors/kyosuke-nishida/), [Hiroaki Sugiyama](https://md.research.elamur.ai/free/en/authors/hiroaki-sugiyama/), [Kosuke Nishida](https://md.research.elamur.ai/free/en/authors/kosuke-nishida/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5078963513) · [ORCID](https://orcid.org/0000-0003-1941-6172) · [**h-index 5**](https://openalex.org/authors/A5078963513) · [24 works](https://openalex.org/works?filter=author.id:A5078963513) · [127 citations](https://openalex.org/works?filter=author.id:A5078963513&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kazutoshi-shinoda/#papers) · [🔗 Cited 28 times in our library](https://md.research.elamur.ai/free/en/authors/kazutoshi-shinoda/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12080](https://md.research.elamur.ai/free/en/paper-stars/page/121/#star-12080) 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=Kazutoshi+Shinoda) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kazutoshi+Shinoda) · [dblp](https://dblp.org/search?q=Kazutoshi+Shinoda) · [ACL Anthology](https://aclanthology.org/search/?q=Kazutoshi+Shinoda) ## Affiliations [🏢**NTT** Tokyo · Japan 2019–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/companies/ntt/) · [🎓**The University of Tokyo** Tokyo · Japan 2013–2023 · 8 papersEducation 2013–2017 · Bachelor of Engineering, Department of EngineeringEducation 2017–2019 · Master of Information Science and Technology, Department of Computer ScienceEducation since 2019 · Ph.D. in Information Science and Technology, Department of Computer Science](https://md.research.elamur.ai/free/en/universities/the-university-of-tokyo/) · [🔬**National Institute of Informatics** Tokyo · Japan 2021–2023 · 3 papers](https://md.research.elamur.ai/free/en/labs/national-institute-of-informatics/) 🏛️**NTT Corporation** Kanagawa · [Japan](https://md.research.elamur.ai/free/en/countries/japan/) 2023Employment since 2023 · Researcher, NTT Human Informatics Laboratories From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 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 Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [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/) · [Developmental and Educational Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 2 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/kazutoshi-shinoda/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Debiasing Reward Models via Causally Motivated Inference-Time Intervention](https://md.research.elamur.ai/free/en/papers/shinoda-2026-debiasing-reward-models-causally-motivated/)** *(2026)* Reward models (RMs) used in RLHF often reward surface style instead of substance. They favor longer answers, more paragraphs, exclamation marks, bold Markdown and lexical overlap with the query, and these preferences can carry over into aligned LLMs. Earlier inference-time fixes handle only length and tend to trade… 2. **[Let's Put Ourselves in Sally's Shoes: Shoes-of-Others Prefilling Improves Theory of Mind in Large Language Models](https://md.research.elamur.ai/free/en/papers/shinoda-2026-let-s-put-ourselves-sally/)** *(2026)* Large language models still trail humans on Theory of Mind (ToM), and fine-tuning on ToM data tends to hurt out-of-distribution generalization. ## All works 3 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. **[Multi-style Generative Reading Comprehension ↗](https://aclanthology.org/P19-1220/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Kyosuke Nishida et al.*2019 · 98 citations* 2. **[Debiasing Reward Models via Causally Motivated Inference-Time Intervention](https://md.research.elamur.ai/free/en/papers/shinoda-2026-debiasing-reward-models-causally-motivated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kazutoshi Shinoda, Kosuke Nishida, Kyosuke Nishida*2026* 3. **[Let's Put Ourselves in Sally's Shoes: Shoes-of-Others Prefilling Improves Theory of Mind in Large Language Models](https://md.research.elamur.ai/free/en/papers/shinoda-2026-let-s-put-ourselves-sally/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida, et al.*2026* ## Co-authors here 4 co-authors with a page, the most papers together first. - [Kyosuke Nishida](https://md.research.elamur.ai/free/en/authors/kyosuke-nishida/) ×2 - [Hiroaki Sugiyama](https://md.research.elamur.ai/free/en/authors/hiroaki-sugiyama/) - [Kosuke Nishida](https://md.research.elamur.ai/free/en/authors/kosuke-nishida/) - [Kuniko Saito](https://md.research.elamur.ai/free/en/authors/kuniko-saito/) ## 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/) - [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/) ## Cited by Papers of our library cite their works 28 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kazutoshi-shinoda/cited-by/). Updated 1 November 2026