Awesome AI for Code
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Rio Yokota — most-cited papers & profile · AI for Code
← authors
·
overview
Rio Yokota
8
papers ·
140
citations ·
23
h-index
Institute of Science Tokyo
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Rewriting Pre-Training Data Boosts LLM Performance in Math and Code
2025
Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization
2025
Top co-authors
Kazuki Fujii
· 2
Taishi Nakamura
· 2
Hinari Shimada
· 1
Hiroya Takamura
· 1
Jun Sakuma
· 1
Jun Suzuki
· 1
Kakeru Hattori
· 1
Koshiro Saito
· 1
Masaki Kawamura
· 1
Masanari Oi
· 1
Naoaki Okazaki
· 1
Sakae Mizuki
· 1
Topics
Code Generation
Code Models
Program Repair
Code Understanding
parameter-efficient
pretraining
training