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
Sagnik Mukherjee — most-cited papers & profile · AI for Code
← authors
·
overview
Sagnik Mukherjee
7
papers ·
172
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Towards Measuring And Modeling "culture" In Llms: A Survey
2024 · 172 citations
ISO: An RLVR-Native Optimization Stack
2026
ISO: An RLVR-Native Optimization Stack
2026
Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs
2026
Reinforcement Learning Finetunes Small Subnetworks in Large Language Models
2025
Reinforcement Learning Finetunes Small Subnetworks in Large Language Models
2025
Top co-authors
David González-Martínez
· 1
David Z. Pan
· 1
Hanqing Zhu
· 1
Shiwei Liu
· 1
Wenyan Cong
· 1
Xiaoxia Wu
· 1
Xinyuan Song
· 1
Yuandong Tian
· 1
Zhangyang "Atlas" Wang
· 1
Zhizhou Sha
· 1
Topics
cs.LG
cs.AI
Survey Paper
Evaluation
Benchmarks
Tool Use
Reinforcement Learning
Fine-Tuning
In-Context Learning
Efficiency