GT-SVJ turns video generative models into self-supervised reward judges via EBM reformulation and contrastive training on controlled synthetic degradations, claiming SOTA on GenAI-Bench and MonteBench with 30K annotations.
Ties matter: Meta-evaluating modern metrics with pairwise accu- racy and tie calibration, 2023
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GT-SVJ: Generative-Transformer-Based Self-Supervised Video Judge For Efficient Video Reward Modeling
GT-SVJ turns video generative models into self-supervised reward judges via EBM reformulation and contrastive training on controlled synthetic degradations, claiming SOTA on GenAI-Bench and MonteBench with 30K annotations.