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Yasuhiro Sogawa

Yasuhiro Sogawa has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Terufumi Morishita, Yuta Koreeda, Ayana Niwa.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 6 · 47 works · 493 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12300

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

🏢HitachiTokyo · Japan2022–2026 · 27 paperscurrent🎓The University of OsakaOsaka · Japan2010–2013 · 8 papers🎓University of TsukubaTsukuba · Japan2023 · 2 papers🏢NECIrving · United States2017–2018 · 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Disentangling the Effects of Unlearning in Measuring Parametric Faithfulness of Chain-of-Thought (2026)
    Tutek et al. (2025) proposed parametric faithfulness, which tests whether a Chain-of-Thought (CoT) reflects a model's internal reasoning. The method unlearns individual CoT steps and checks whether the model's No-CoT answer changes. That design attributes every answer change to the removed reasoning step. This paper…
  2. Is Micro Domain-Adaptive Pre-Training Effective for Real-World Operations? Multi-Step Evaluation Reveals Potential and Bottlenecks (2026)
    Enterprises need LLMs that can work with narrow, proprietary knowledge tied to specific operations ("micro domains").

 Co-authors here

6 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.

Updated

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