Takumi Okamoto

MS student, Institute of Science Tokyo

Joined

October 2023

Names

Takumi Okamoto (Preferred)

Emails

****@gmail.com (Confirmed)

****@rio.gsic.titech.ac.jp (Confirmed)

****@rio.scrc.iir.isct.ac.jp (Confirmed)

Personal Links

Career & Education History

MS student

Institute of Science Tokyo (titech.ac.jp)

2024 – 2026

Undergrad student

Tokyo Institute of Technology (titech.ac.jp)

2020 – 2024

Advisors, Relations & Conflicts

Advisor

Rio Yokota

2023 – Present

Expertise

No areas of expertise listed

Publications

Why We Build Local Large Language Models: An Observational Analysis from 35 Japanese and Multilingual LLMs
Koshiro Saito, Sakae Mizuki, Masanari Oi, Taishi Nakamura, Taihei Shiotani, Koki Maeda, Youmi Ma, Kakeru Hattori, Kazuki Fujii, Takumi Okamoto, Shigeki Ishida, Hiroya Takamura, Rio Yokota, Naoaki Okazaki
- 1st workshop on Multilingual and Equitable Language Technologies (MELT), COLM 2025
- Readers: Everyone
Rewriting Pre-Training Data Boosts LLM Performance in Math and Code
Kazuki Fujii, Yukito Tajima, Sakae Mizuki, Masaki Kawamura, Hinari Shimada, Taihei Shiotani, Koshiro Saito, Masanari Oi, Taishi Nakamura, Takumi Okamoto, Shigeki Ishida, Kakeru Hattori, Youmi Ma, Hiroya Takamura, Rio Yokota, Jun Sakuma, Naoaki Okazaki
- ICLR 2026 Poster
- Readers: Everyone
Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks
Taishi Nakamura, Satoki Ishikawa, Masaki Kawamura, Takumi Okamoto, Daisuke Nohara, Jun Suzuki, Rio Yokota
- ICLR 2026 Oral
- Readers: Everyone
Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks
Taishi Nakamura, Satoki Ishikawa, Masaki Kawamura, Takumi Okamoto, Daisuke Nohara, Jun Suzuki, Rio Yokota
- AI4Math@ICML25 Poster
- Readers: Everyone
Rewriting Pre-Training Data Boosts LLM Performance in Math and Code
Kazuki Fujii, Yukito Tajima, Sakae Mizuki, Hinari Shimada, Taihei Shiotani, Koshiro Saito, Masanari Ohi, Masaki Kawamura, Taishi Nakamura, Takumi Okamoto, Shigeki Ishida, Kakeru Hattori, Youmi Ma, Hiroya Takamura, Rio Yokota, Naoaki Okazaki
- Submitted to NeurIPS 2025 Datasets and Benchmarks Track
- Readers: Everyone
Building Instruction-Tuning Datasets from Human-Written Instructions with Open-Weight Large Language Models
Youmi Ma, Sakae Mizuki, Kazuki Fujii, Taishi Nakamura, Masanari Ohi, Hinari Shimada, Taihei Shiotani, Koshiro Saito, Koki Maeda, Kakeru Hattori, Takumi Okamoto, Shigeki Ishida, Rio Yokota, Hiroya Takamura, Naoaki Okazaki
- COLM 2025
- Readers: Everyone

Takumi Okamoto

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Why We Build Local Large Language Models: An Observational Analysis from 35 Japanese and Multilingual LLMs

Rewriting Pre-Training Data Boosts LLM Performance in Math and Code

Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks

Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks

Rewriting Pre-Training Data Boosts LLM Performance in Math and Code

Building Instruction-Tuning Datasets from Human-Written Instructions with Open-Weight Large Language Models

Co-Authors