PG-SFT: Balancing Capability Acquisition and Retention in Offline Agent Fine-Tuning.

arXiv:2610.00949v1 Announce Type: new Abstract: Supervised fine-tuning (SFT) on offline agent trajectories is the standard approach for training specialized tool-using agents, but forcing models to imitate reasoning and actions token by token may harm other ca