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Vision-Language Modeling on CharXiv

73.9AccuracyZPPO
53.51658.80864.169.392Jun 16, 2026

Evaluation results

MethodLinks
ZPPOModel Scale=2B, Prompt Replay Buffer Augmentation=true2026.0673.9
GRPOModel Scale=2B, Prompt Replay Buffer Augmentation=true2026.0673
GRPOModel Scale=2B, Prompt Replay Buffer Augmentation=false2026.0672.8
On-DistillModel Scale=2B, Prompt Replay Buffer Augmentation=false2026.0671.7
On-DistillModel Scale=2B, Prompt Replay Buffer Augmentation=true2026.0671.7
Qwen3.5Model Scale=2B, Prompt Replay Buffer Augmentation=false2026.0671.6
Off-DistillModel Scale=2B, Prompt Replay Buffer Augmentation=true2026.0671.4
Off-DistillModel Scale=2B, Prompt Replay Buffer Augmentation=false2026.0671
ZPPOModel Scale=0.8B, Prompt Replay Buffer Augmentation=true2026.0663.9
GRPOModel Scale=0.8B, Prompt Replay Buffer Augmentation=true2026.0659.9
GRPOModel Scale=0.8B, Prompt Replay Buffer Augmentation=false2026.0657
On-DistillModel Scale=0.8B, Prompt Replay Buffer Augmentation=true2026.0656.4
Off-DistillModel Scale=0.8B, Prompt Replay Buffer Augmentation=true2026.0656
On-DistillModel Scale=0.8B, Prompt Replay Buffer Augmentation=false2026.0656
Off-DistillModel Scale=0.8B, Prompt Replay Buffer Augmentation=false2026.0655.1
Qwen3.5Model Scale=0.8B, Prompt Replay Buffer Augmentation=false2026.0654.3