---
title: "Masafumi Oyamada · NEC — author profile and papers"
description: "Masafumi Oyamada, NEC: 2 papers on Elamur Research (2026), h-index 9 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/masafumi-oyamada/"
---
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# Masafumi Oyamada

Masafumi Oyamada 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/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Yuyang Dong](https://md.research.elamur.ai/free/en/authors/yuyang-dong/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5044722101) · [ORCID](https://orcid.org/0000-0002-4045-7350) · [**h-index 9**](https://openalex.org/authors/A5044722101) · [53 works](https://openalex.org/works?filter=author.id:A5044722101) · [354 citations](https://openalex.org/works?filter=author.id:A5044722101&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/masafumi-oyamada/#papers) · [🔗 Cited 7 times in our library](https://md.research.elamur.ai/free/en/authors/masafumi-oyamada/cited-by/) · [⭐ Paper Stars ranking: #9813](https://md.research.elamur.ai/free/en/paper-stars/page/99/#star-9813)

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

## Affiliations

[🏢**NEC** Tokyo · Japan 2013–2026 · 46 papers*current*](https://md.research.elamur.ai/free/en/companies/nec-jp/) · [🎓**University of Tsukuba** Tsukuba · Japan 2011–2018 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-tsukuba/)

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 8 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/) · [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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/masafumi-oyamada/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[An Empirical Study of LLM-as-a-Judge: How Design Choices Impact Evaluation Reliability](https://md.research.elamur.ai/free/en/papers/yamauchi-2026-empirical-study-llm-as-judge/)** *(2026 · 10 citations)* LLM-as-a-Judge is widely used to score open-ended model outputs, but it is unclear how far its verdicts can be trusted.
2. **[SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/ueda-2026-scan-semantic-document-layout-analysis/)** *(2026 · 1 citation)* RAG systems over visually rich documents such as reports, manuals and flyers increasingly depend on VLMs. These models either transcribe page regions into text (textual RAG) or read page images directly (visual RAG). Giving a VLM an entire dense page works poorly. Conventional layout analysers like DocLayout-YOLO go…

## Co-authors here

1 co-author with a page, the most papers together first.

- [Yuyang Dong](https://md.research.elamur.ai/free/en/authors/yuyang-dong/)

## 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/)
- [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/): [GEM 2026](https://md.research.elamur.ai/free/en/venues/gem/2026/)

## Cited by

Papers of our library cite their works 7 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/masafumi-oyamada/cited-by/).

Updated 1 November 2026
