Zhiling Ye

Learning to Align, Aligning to Learn: A Unified Approach for Self-Optimized Alignment

2025 · arXiv (Cornell University)

Alignment methodologies have emerged as a critical pathway for enhancing language model alignment capabilities. While SFT (supervised fine-tuning) accelerates convergence through direct token-level loss intervention, its efficacy is constrained by offline policy trajectory. In contrast, …