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ORCIDShogo Murai
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2020 – today
- 2025
[i3]Kaizaburo Chubachi, Yasuhiro Fujita, Shinichi Hemmi, Yuta Hirokawa, Kentaro Imajo, Toshiki Kataoka, Goro Kobayashi, Kenichi Maehashi, Calvin Metzger, Hiroaki Mikami, Shogo Murai, Daisuke Nishino, Kento Nozawa, Toru Ogawa, Shintarou Okada, Daisuke Okanohara, Shunta Saito, Shotaro Sano, Shuji Suzuki, Kuniyuki Takahashi, Daisuke Tanaka, Avinash Ummadisingu, Hanqin Wang, Sixue Wang, Tianqi Xu:
PLaMo 2 Technical Report. CoRR abs/2509.04897 (2025)- 2024
- [i2]Kenshin Abe, Kaizaburo Chubachi, Yasuhiro Fujita, Yuta Hirokawa, Kentaro Imajo, Toshiki Kataoka, Hiroyoshi Komatsu, Hiroaki Mikami, Tsuguo Mogami, Shogo Murai, Kosuke Nakago, Daisuke Nishino, Toru Ogawa, Daisuke Okanohara, Yoshihiko Ozaki, Shotaro Sano, Shuji Suzuki, Tianqi Xu, Toshihiko Yanase:
PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency. CoRR abs/2410.07563 (2024) - 2022
- [c5]Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi:
A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective? ECML/PKDD (3) 2022: 477-492 - 2021
- [i1]Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi:
A Scaling Law for Synthetic-to-Real Transfer: A Measure of Pre-Training. CoRR abs/2108.11018 (2021) - 2020
- [c4]Shogo Murai, Hiroaki Mikami, Masanori Koyama, Shuji Suzuki, Takuya Akiba:
Online-Codistillation Meets LARS, Going beyond the Limit of Data Parallelism in Deep Learning. DLS@SC 2020: 1-9
2010 – 2019
- 2019
- [c3]Shogo Murai, Yuichi Yoshida:
Estimating Walk-Based Similarities Using Random Walk. WWW 2019: 1321-1331 - [c2]Shogo Murai, Yuichi Yoshida:
Sensitivity Analysis of Centralities on Unweighted Networks. WWW 2019: 1332-1342 - 2017
- [c1]Shogo Murai:
Theoretically and Empirically High Quality Estimation of Closeness Centrality. ICDM 2017: 985-990
Coauthor Index
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