Taihei Shiotani

According to our database, Taihei Shiotani authored at least 5 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Japanese Benchmark for Evaluating Social Bias in Reasoning Based on Attribution Theory.

Taihei Shiotani, Masahiro Kaneko, Naoaki Okazaki

CoRR, April, 2026

JUBAKU: An Adversarial Benchmark for Exposing Culturally Grounded Stereotypes in Japanese LLMs.

Taihei Shiotani, Masahiro Kaneko, Ayana Niwa, Yuki Maruyama, Daisuke Oba, Masanari Ohi, Naoaki Okazaki

CoRR, March, 2026

2025

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

CoRR, May, 2025

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

CoRR, March, 2025

2024

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

Koshiro Saito, Sakae Mizuki, Masanari Ohi, Taishi Nakamura, Taihei Shiotani, Koki Maeda, Youmi Ma, Kakeru Hattori, Kazuki Fujii, Takumi Okamoto, Shigeki Ishida, Hiroya Takamura, Rio Yokota, Naoaki Okazaki

CoRR, 2024