TailSFT: Filtered Fine-Tuning Improves Post-Training Performance

Sadhika Malladi, Samy Jelassi, Dylan Foster +2

Reinforcement learning post-training drives reasoning and agentic capabilities in modern AI systems, yet a growing body of work shows that it is most effective when used to fine-tu…