Summary
Overview
Work History
Education
Skills
Achievements
Publication (Selected)
Timeline

Yusuke Iwasawa

Associate Proffessor
Tokyo

Summary

Academic professional with extensive expertise on foundation and application of deep learning and generative AI. Extensive experience of supervising students. Over 20 publications at top tier conferences including NeurIPS, ICLR, ICML, IJCAI, EMNLP, NAACL, ICRA, etc. Hiring and managing large scale research group on the collaboration with 10+ researchers and 50+ students. Experienced with distributing lectures about the basic of deep learning and large language models.

Overview

11
11
years of professional experience
2
2
Languages

Work History

Associate Professor

The University of Tokyo
01.2024 - Current
  • Managing entire laboratories, including 10+ researchers and 50+ students. Publish 10+ papers at top tier conferences including "Self-recovery prompting: Promptable general purpose service robot system with foundation models and self-recovery", ICRA2024.
  • Providing lecture courses regarding large language models for 4000+ attendees.

Lecturer

The University of Tokyo
04.2022 - 12.2023
  • Managing entire laboratories, including 30+ students and several researchers.
  • 10+ publications for top tier conferences including "Large Language Models are Zero-Shot Reasoners", NeurIPS2022 (3000+ citations)

Project Lecturer

The University of Tokyo
12.2020 - 03.2022
  • Continuing research on transfer learning, and starting projects about language model and robotics. Several publications including "Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization", NeurIPS2021 (spotlight).
  • Evaluated student progress through regular assessments, providing detailed feedback for improvement and growth.

Project Assistant Professor

The University of Tokyo
07.2018 - 11.2020

Continuing research on transfer learning. 10+ publications including "Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective", IJCAI2020". Supervising 5 to 10 students.

Project Researcher

The University of Tokyo
04.2017 - 06.2018

Research on privacy preserved deep learning. Several publication including "Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training" at IJCAI2017.

Research Fellowships for Young Scientists (DC1)

Japan Science and Technology Agency
04.2014 - 03.2017

Study on application of deep neural networks to human action sensing and disabled people support.


Education

Ph.D. - Engineering

The University of Tokyo, Tokyo, Japan
04.2001 -

Master of Science - Information Science

Sophia University, Tokyo, Japan
04.2001 -

Bachelor of Science - Information Science

Sophia University, Tokyo, Japan
04.2001 -

Skills

Research expertise

Achievements

  • Supervised and organized team of 10+ researchers.
  • Planned and provided lecture courses about large language models for over 4000+ attendees from 2023.
  • Published 20+ papers for top tier conferences, and 30+ journal papers.

Publication (Selected)

Google Scholar: https://scholar.google.com/citations?user=nRLaJiQAAAAJ&hl=ja&oi=ao


  • Meiyun Wang, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo. "Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge". NAACL 2025.
  • Gouki Minegishi, Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo “Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words”. ICLR 2025.
  • Shohei Taniguchi, Keno Harada, Gouki Minegishi, Yuta Oshima, Seong Cheol Jeong, Go Nagahara, Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo. “ADOPT: Modified Adam Can Converge with Any with the Optimal Rate”, NeurIPS 2024.
  • Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo, “Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?”, EMNLP 2024.
  • Yongmin Kim, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo. “Decoupling Noise and Toxic Parameters for Language Model Detoxification by Task Vector Merging”. COLM 2024.
  • Jiaxian Guo*, Bo Yang*, Paul Yoo, Bill Yuchen Lin, Yusuke Iwasawa, Yutaka Matsuo. “Suspicion Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4”. COLM 2024.
  • Andrew Gambardella, Yusuke Iwasawa, Yutaka Matsuo. “Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks“, ACL 2024.
  • Mimo Shirasaka, Tatsuya Matsushima, Soshi Tsunashima, Yuya Ikeda, Aoi Horo, So Ikoma, Chikaha Tsuji, Hikaru Wada, Tsunekazu Omija, Dai Komukai, Yutaka Matsuo, Yusuke Iwasawa. “Self-recovery prompting: Promptable general purpose service robot system with foundation models and self-recovery”, ICRA 2024.
  • So Kuroki, Jiaxian Guo, Tatsuya Matsushima, Takuya Okubo, Masato Kobayashi, Yuya Ikeda, Ryosuke Takanami, Paul Yoo, Yutaka Matsuo, Yusuke Iwasawa. “GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy“, ICRA 2024.


Timeline

Associate Professor - The University of Tokyo
01.2024 - Current
Lecturer - The University of Tokyo
04.2022 - 12.2023
Project Lecturer - The University of Tokyo
12.2020 - 03.2022
Project Assistant Professor - The University of Tokyo
07.2018 - 11.2020
Project Researcher - The University of Tokyo
04.2017 - 06.2018
Research Fellowships for Young Scientists (DC1) - Japan Science and Technology Agency
04.2014 - 03.2017
The University of Tokyo - Ph.D., Engineering
04.2001 -
Sophia University - Master of Science, Information Science
04.2001 -
Sophia University - Bachelor of Science, Information Science
04.2001 -
Yusuke IwasawaAssociate Proffessor