E²PO uses embedding-level perturbations to maintain intra-group variance and discriminative signal in RL-based preference optimization for generative flow models.
Unveiling chain of step reasoning for vision-language models with fine-grained rewards.Advances in Neural Information Processing Systems, 38:114703–114727, 2026
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Embedding-perturbed Exploration Preference Optimization for Flow Models
E²PO uses embedding-level perturbations to maintain intra-group variance and discriminative signal in RL-based preference optimization for generative flow models.