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Vision-Language Modeling on InfoVQA

84.6AccuracyZPPO
65.25670.27875.380.322Jun 16, 2026

Evaluation results

MethodLinks
ZPPOModel Scale=2B, Prompt Replay Buffer Augmentation=true2026.0684.6
GRPOModel Scale=2B, Prompt Replay Buffer Augmentation=true2026.0683.1
GRPOModel Scale=2B, Prompt Replay Buffer Augmentation=false2026.0682.4
Qwen3.5Model Scale=2B, Prompt Replay Buffer Augmentation=false2026.0681.2
On-DistillModel Scale=2B, Prompt Replay Buffer Augmentation=false2026.0681.1
On-DistillModel Scale=2B, Prompt Replay Buffer Augmentation=true2026.0680.9
Off-DistillModel Scale=2B, Prompt Replay Buffer Augmentation=true2026.0680.4
Off-DistillModel Scale=2B, Prompt Replay Buffer Augmentation=false2026.0680.2
ZPPOModel Scale=0.8B, Prompt Replay Buffer Augmentation=true2026.0675.3
GRPOModel Scale=0.8B, Prompt Replay Buffer Augmentation=true2026.0672.4
GRPOModel Scale=0.8B, Prompt Replay Buffer Augmentation=false2026.0671
Qwen3.5Model Scale=0.8B, Prompt Replay Buffer Augmentation=false2026.0668.6
On-DistillModel Scale=0.8B, Prompt Replay Buffer Augmentation=true2026.0667.6
On-DistillModel Scale=0.8B, Prompt Replay Buffer Augmentation=false2026.0667.1
Off-DistillModel Scale=0.8B, Prompt Replay Buffer Augmentation=true2026.0666.8
Off-DistillModel Scale=0.8B, Prompt Replay Buffer Augmentation=false2026.0666