GFT: From Imitation to Reward Fine-Tuning with Unbiased Group Advantages and Dynamic Coefficient Rectification

arXiv:2604.14258v1 Announce Type: new Abstract: Large language models are typically posttrained using supervised finetuning SFT and reinforcement learning RL, yet effectively unifying efficient knowledge injection with robust generalization remains challenging.