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Vision-Language Modeling on MVerse

76AccuracyZPPO
42.250.97559.7568.525Jun 16, 2026

Evaluation results

MethodLinks
ZPPOModel Scale=2B, Prompt Replay Buffer Augmentation=true2026.0676
GRPOModel Scale=2B, Prompt Replay Buffer Augmentation=true2026.0672.8
GRPOModel Scale=2B, Prompt Replay Buffer Augmentation=false2026.0672.3
On-DistillModel Scale=2B, Prompt Replay Buffer Augmentation=true2026.0672
On-DistillModel Scale=2B, Prompt Replay Buffer Augmentation=false2026.0671.9
Off-DistillModel Scale=2B, Prompt Replay Buffer Augmentation=true2026.0671.4
Off-DistillModel Scale=2B, Prompt Replay Buffer Augmentation=false2026.0670.8
Qwen3.5Model Scale=2B, Prompt Replay Buffer Augmentation=false2026.0669.7
ZPPOModel Scale=0.8B, Prompt Replay Buffer Augmentation=true2026.0659.3
GRPOModel Scale=0.8B, Prompt Replay Buffer Augmentation=true2026.0651.1
GRPOModel Scale=0.8B, Prompt Replay Buffer Augmentation=false2026.0647.7
On-DistillModel Scale=0.8B, Prompt Replay Buffer Augmentation=true2026.0647.4
Off-DistillModel Scale=0.8B, Prompt Replay Buffer Augmentation=true2026.0645.8
On-DistillModel Scale=0.8B, Prompt Replay Buffer Augmentation=false2026.0645.8
Off-DistillModel Scale=0.8B, Prompt Replay Buffer Augmentation=false2026.0645.3
Qwen3.5Model Scale=0.8B, Prompt Replay Buffer Augmentation=false2026.0643.5