--- title: "Naoya Inoue — author profile and papers — Elamur Research" description: "Naoya Inoue, Japan Advanced Institute of Science and Technology: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/naoya-inoue/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/naoya-inoue/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Naoya Inoue # Naoya Inoue Naoya Inoue 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5134366371) · [ORCID](https://orcid.org/0000-0002-2961-6939) · [**h-index 1**](https://openalex.org/authors/A5134366371) · [17 works](https://openalex.org/works?filter=author.id:A5134366371) · [1 citations](https://openalex.org/works?filter=author.id:A5134366371&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/naoya-inoue/#papers) · [⭐ Paper Stars ranking: #12157](https://md.research.elamur.ai/free/en/paper-stars/page/122/#star-12157) 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=Naoya+Inoue) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Naoya+Inoue) · [dblp](https://dblp.org/search?q=Naoya+Inoue) · [ACL Anthology](https://aclanthology.org/search/?q=Naoya+Inoue) ## Affiliations [🎓**Japan Advanced Institute of Science and Technology** Nomi Shi · Japan 2024–2026 · 12 papers*current*](https://md.research.elamur.ai/free/en/universities/japan-advanced-institute-of-science-and-technology/) · [🔬**RIKEN** Wako · Japan 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/labs/riken/) 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 5 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/) · [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 3 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/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/naoya-inoue/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Improving Chain-of-Thought for Logical Reasoning via Attention-Aware Intervention](https://md.research.elamur.ai/free/en/papers/nguyen-2026-improving-chain-thought-logical-reasoning/)** *(2026)* Many current LLM approaches to logical reasoning rely on multi-step interactive pipelines or on external symbolic solvers. 2. **[On the Additive Compositionality of Task Vectors in Vision–Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-additive-compositionality-task-vectors-vision/)** *(2026)* The authors test whether task-vector arithmetic, known from text-only LLMs, also works in vision–language models, where visual encoders and cross-modal alignment could break linear behaviour. ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/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/) Updated 1 November 2026