🧑‍🔬 Takeshi Kojima

🏛️ Affiliations

🎓The University of TokyoTokyo · Japan1971–2026 · 9 paperscurrent🎓University of ToyamaToyama · Japan1955–1989 · 16 papers🔬National Institute of Advanced Industrial Science and TechnologyTsukuba · Japan2002–2006 · 11 papers🏢Mitsubishi MaterialsTokyo · Japan1992–2011 · 3 papers🎓Tokyo Institute of TechnologyTokyo · Japan1950–1963 · 3 papers🏢Kawasaki Heavy IndustriesTokyo · Japan2000–2004 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions 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.

📅 Works by year

2020s

📄 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

5 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 reasonersConference on Neural Information Processing Systems (NeurIPS)Takeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.2022 · 3,795 citations
2. On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific NeuronsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Takeshi Kojima, Itsuki Okimura, Yusuke Iwasawa, et al.2024 · 65 citations
3. ClinDet-Bench: Beyond Abstention, Evaluating Judgment Determinability of LLMs in Clinical Decision-Making ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track) · no summary yetYusuke Watanabe et al.2026 · 1 citation
4. Understanding Emergent Misalignment via Feature Superposition Geometry ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetGouki Minegishi et al.2026
5. Infinity-MoE: Generalizing Mixture of Experts to Infinite Experts ↗Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetShota Takashiro et al.2026

🤝 Co-authors here

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

• Yusuke Iwasawa ×2
• Yutaka Matsuo ×2
• Hitomi Yanaka
• Machel Reid
• Shixiang Shane Gu

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×2
• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2024
• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2022
• Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)

🔗 Cited by

Papers of our library cite their works 2,300 times (of the 141,840 papers whose bibliographies we read); 202 citing papers with a page here →.

Updated 24 October 2026

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