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Yuta Nakashima

Yuta Nakashima has 2 papers in our library, in 2020–2024, most of them on Reasoning, English; often with Hajime Nagahara, Bowen Wang, Chenhui Chu.

2 papers in our library · 2020–2024

OpenAlex · ORCID · Wikidata · h-index 24 · 195 works · 2,490 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 11 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8836

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

🎓The University of OsakaOsaka · Japan2006–2026 · 134 paperscurrent🎓Nara Institute of Science and TechnologyIkoma · Japan2013–2018 · 27 papers🎓Ehime UniversityMatsuyama · Japan2021–2022 · 2 papers🎓Indian Institute of Technology GandhinagarGandhinagar · India2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksHealth Informatics · 1 workMedicine · 1 workSocial Sciences · 1 workSociology and Political Science · 1 work

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 1 workEnglish · 1 work

 Works by year

2020s

20241 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models (2024 · 20 citations)
    LLMs such as GPT-4 score well on medical exam questions, but those benchmarks use short inputs and say little about whether a model's diagnostic reasoning can be inspected.
  2. IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets (2020 · 4 citations)
    The paper describes the IDSOU team's system for WNUT-2020 Task 2. The task is a binary decision: is an English COVID-19 tweet informative, meaning it reports recovered, suspected, confirmed or fatal cases or where those cases were or travelled? The organizers released 10,000 labelled tweets, and systems are ranked by…

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. DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Bowen Wang, Jiuyang Chang, Yiming Qian, et al.2024 · 20 citations
  2. iParaphrasing: Extracting Visually Grounded Paraphrases via an Image ↗Proceedings of the 27th International Conference on Computational Linguistics · no summary yetChenhui Chu, Mayu Otani, Yuta Nakashima2018 · 10 citations
  3. IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English TweetsWorkshop on Noisy User-generated TextSora Ohashi, Tomoyuki Kajiwara, Chenhui Chu, et al.2020 · 4 citations

 Co-authors here

7 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.

 Cited by

Papers of our library cite their works 11 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yuta-nakashima/