Control-Diverse Reinforcement Fine-Tuning: Decoupling the Shared Control Bottleneck of RL Post-Training
Binwen Tan, Jingchao Wang, Dengzhe Hou, Lingyu Jiang, Zeyuan Wu, Yunhan Shen, Fangzhou Lin, Kazunori Yamada, Atsushi Koike
cs.LG
Submitted: 2026-08-08
Updated: 2026-08-11
Code: https://github.com/tttbw/cd-rft
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Program Synthesis with Large Language Models
- Evaluating Large Language Models Trained on Code
- Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective
- The Llama 3 Herd of Models
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- AtP*: An efficient and scalable method for localizing LLM behaviour to components
- Tulu 3: Pushing Frontiers in Open Language Model Post-Training
- Multi-Task GRPO: Reliable LLM Reasoning Across Tasks
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Qwen2.5 Technical Report
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
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