---
title: "Kei Moriyama — author profile and papers — Elamur Research"
description: "Kei Moriyama, The University of Tokyo: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/kei-moriyama/"
---
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# Kei Moriyama

Kei Moriyama 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/); often with [Kouta Nakayama](https://md.research.elamur.ai/free/en/authors/kouta-nakayama/), [Takashi Kodama](https://md.research.elamur.ai/free/en/authors/takashi-kodama/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5135122845) · [**h-index 0**](https://openalex.org/authors/A5135122845) · [3 works](https://openalex.org/works?filter=author.id:A5135122845) · [0 citations](https://openalex.org/works?filter=author.id:A5135122845&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kei-moriyama/#papers) · [⭐ Paper Stars ranking: #12082](https://md.research.elamur.ai/free/en/paper-stars/page/121/#star-12082)

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=Kei+Moriyama) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kei+Moriyama) · [dblp](https://dblp.org/search?q=Kei+Moriyama) · [ACL Anthology](https://aclanthology.org/search/?q=Kei+Moriyama)

## Affiliations

[🎓**The University of Tokyo** Tokyo · Japan 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-tokyo/)

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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](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/kei-moriyama/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Generation of Instruction and Preference Dataset for Improving Japanese Instruction Following in LLMs](https://md.research.elamur.ai/free/en/papers/moriyama-2026-generation-instruction-preference-dataset-improving/)** *(2026)* Instruction tuning needs large annotated datasets. These are costly to build and mostly exist in English. LLM-based augmentation has rarely been tested on languages with their own constraint types, such as Japanese script rules that require or forbid kanji. The authors build an automatic pipeline that produces both a…
2. **[Task Assignment meets Annotator Modeling: Human-LLM Collaborative Annotation with Constraints](https://md.research.elamur.ai/free/en/papers/moriyama-2026-task-assignment-meets-annotator-modeling/)** *(2026)* Human crowdworkers and LLMs are both inexpensive sources of labels, but each is reliable on different kinds of items.

## Co-authors here

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

- [Kouta Nakayama](https://md.research.elamur.ai/free/en/authors/kouta-nakayama/) ×2
- [Takashi Kodama](https://md.research.elamur.ai/free/en/authors/takashi-kodama/)

## 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/)
- [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/)

Updated 1 November 2026
