AI RESEARCH

GRASP: Guided Residual Adapters with Sample-wise Partitioning

arXiv CS.CV

ArXi:2512.01675v2 Announce Type: replace Text-to-image flow matching transformers degrade sharply in long-tail settings: tail-class outputs collapse in fidelity and diversity, limiting their value as synthetic augmentation for rare conditions. We trace this to low head-versus-tail gradient alignment during fine-tuning, an optimization-level pathology that conditioning- and sampling-side interventions do not address.