SAGE: Sequence-level Adaptive Gradient Evolution for Generative Recommendation
Generative recommenders increasingly train Semantic-ID models to autoregressively generate length-L slates, aligned to user feedback by reinforcement learning. Gradient-Bounded Policy Optimization (GBPO) stabilizes this stage with a BCE-stable asymmetric gradient bound, but its clipping boundary is computed per sample...