Snap2Review: Vision-Grounded Retrieval and Pairwise Preference Alignment for Personalized Reviews Generation
This work proposes Snap2Review, a novel framework that harmonizes cross-modal retrieval with fine-grained preference learning, and introduces Tri-DPO, which employs a stratified negative sampling strategy with varying difficulty levels to force the model to discern fine-grained user preferences.