BAHSD: Bridging the Long-tail Gap via Adaptive Distillation in Black-box Sequential Recommendation 事件

BAHSD: Bridging the Long-tail Gap via Adaptive Distillation in Black-box Sequential Recommendation arXiv:2606.03091v1 Announce Type: cross Abstract: Sequential recommendation systems are widely adopted but often deployed as black-box APIs, which has driven recent interest in model extraction to replicate their capabilities locally. However, the long-tail distribution induces severe signal heterogeneity: dense head sequences trigger the solidification of teacher preference, biasing extraction to