Hidetoshi Shimodaira
Hidetoshi Shimodaira has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining; often with Akiko Aizawa, Chaoran Liu, Fei Cheng.
OpenAlex · ORCID · Wikidata · h-index 21 · 163 works · 15,136 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 17 times in our library · ⭐ Paper Stars ranking: #10224
Affiliations
🎓Kyoto UniversityKyoto ·
Japan2017–2026 · 40 papersEmployment since 2017 · Professor, Graduate School of Informatics🔬RIKENWako ·
Japan2018–2026 · 25 papers🔬RIKEN Center for Advanced Intelligence ProjectTokyo ·
Japan2016–2026 · 20 papersEmployment 2016–2022 · Team Leader, Mathematical Statistics TeamEmployment since 2022 · Visiting Researcher🎓Tokyo Institute of TechnologyTokyo ·
Japan2002–2013 · 20 papersEmployment 2002–2005 · Lecturer, Department of Mathematical and Computing SciencesEmployment 2005–2012 · Associate Professor, Department of Mathematical and Computing Sciences🎓The University of OsakaOsaka ·
Japan2012–2017 · 13 papersEmployment 2012–2017 · Professor, Division of Mathematical Science, Graduate School of Engineering Science🔬The Institute of Statistical MathematicsTokyo ·
Japan1996–2002 · 8 papersEmployment 1996–2002 · Assistant Professor🎓The University of TokyoTokyo ·
Japan1986–2000 · 4 papersEducation 1986–1990 · B.S. Degree, Department of Mathematical Engineering and Information PhysicsEducation 1990–1995 · Ph. D., Department of Mathematical Engineering and Information Physics
Japan2002–2012Employment 2002–2005Employment 2005–2012
🏛️京都大学 / Kyoto University京都市左京区 / Sakyo, Kyoto ·
Japan2017Employment since 2017 · 教授 / Professor, 情報学研究科 / Graduate School of Informatics
🎓Tokyo University of Agriculture and TechnologyTokyo · Fields, topics and concepts
📚 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 1Research subjects and languages the work is about.Language models & pretraining · 2 works
Works by year
2020s
Papers
- Knowledge Sanitization of Large Language Models (2023 · 21 citations)
Large language models trained on web data can memorize private or confidential details and reveal them through extraction attacks or jailbreak prompts. - Memorization, Emergence, and Explaining Reversal Failures: A Controlled Study of Relational Semantics in LLMs (2026)
The paper asks whether autoregressive language models actually learn the logic behind relational words, such as symmetry (friend) and inverse pairs (father/son).
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