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Yusuke Iwasawa

Yusuke Iwasawa has 2 papers in our library, in 2022–2024, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Reasoning; often with Takeshi Kojima, Yutaka Matsuo, Hitomi Yanaka.

2 papers in our library · 2022–2024

OpenAlex · ORCID · h-index 15 · 162 works · 2,958 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2,370 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #730

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 TokyoTokyo · Japan2015–2026 · 117 paperscurrent🎓Sophia UniversityTokyo · Japan2011–2017 · 6 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.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workMathematics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 workMultilingual & cross-lingual NLP · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Language model · 1 work

 Works by year

2020s

20241 paperOn the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons20221 paperLarge language models are zero-shot reasoners

 Papers

The most cited first (OpenAlex and our library).

  1. Large language models are zero-shot reasoners (2022 · 3,795 citations)
    The paper asks whether large language models need hand-written, task-specific worked examples to solve multi-step reasoning problems.
  2. On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons (2024 · 65 citations)
    Decoder-only pre-trained language models often perform well across languages, but it is unclear how they handle multilingualism internally.

All works

6 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. Large language models are zero-shot reasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.Conference on Neural Information Processing Systems (NeurIPS) · 3,795 citations
  2. On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific NeuronsTakeshi Kojima, Itsuki Okimura, Yusuke Iwasawa, et al.Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) · 65 citations
  3. ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA · original ↗ · no summary yet · Proceedings of the 2025 Conference on Empirical Methods in Natural Language…Zhao Xinjie et al.2025 · 8 citations
  4. ClinDet-Bench: Beyond Abstention, Evaluating Judgment Determinability of LLMs in Clinical Decision-Making · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Yusuke Watanabe et al.2026 · 1 citation
  5. Understanding Emergent Misalignment via Feature Superposition Geometry · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Gouki Minegishi et al.2026
  6. Infinity-MoE: Generalizing Mixture of Experts to Infinite Experts · original ↗ · no summary yet · Proceedings of the 19th Conference of the European Chapter of the Association…Shota Takashiro et al.2026

 Co-authors here

5 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 2,370 times (of the 141,840 papers whose bibliographies we read); 205 citing papers with a page here →.

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