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Video Reasoning on VideoEspresso extended

63.64Narrative AccuracyTaYS
38.4244.967551.51558.0625Mar 3, 2026

Evaluation results

MethodLinks
TaYSBase Model=Qwen2.5-VL-7B-Instruct2026.0363.6435.6228.5725.9546.8835.1441.4634.4851.3516.6747.3766.6746.151036.86
Interleaved SFTBase Model=Qwen2.5-VL-7B-Instruct2026.0357.5838.3635.7124.865035.1448.7824.1437.8416.6736.8444.4446.152034.98
Batch w/o thinkingBase Model=Qwen2.5-VL-7B-Instruct2026.0354.5532.8828.5714.5937.527.0341.4634.4829.7316.6736.8452.9446.151028.89
TaYSBase Model=Qwen2.5-VL-3B-Instruct2026.0351.5236.9939.2924.8646.8821.6231.7120.6937.8433.3344.745053.852033.45
Batch SFTBase Model=Qwen2.5-VL-3B-Instruct2026.0348.4834.2517.8617.8443.7532.4339.0227.5924.328.3339.475046.152029.18
Interleaved SFTBase Model=Qwen2.5-VL-3B-Instruct2026.0348.4838.362528.6537.529.7336.5931.0335.1416.6736.8455.5646.153033.96
Batch SFTBase Model=Qwen2.5-VL-7B-Instruct2026.0348.4826.0332.1421.6243.7532.4343.931.0327.038.3339.4738.8946.152030.38
Batch with thinkingBase Model=Qwen2.5-VL-7B-Instruct2026.0342.4231.5142.8623.2437.529.7329.2737.9329.732539.4755.5638.463031.57
Batch w/o thinkingBase Model=Qwen2.5-VL-3B-Instruct2026.0339.3931.512518.9237.524.3243.920.6929.7316.6742.1138.8930.771027.99
Batch with thinkingBase Model=Qwen2.5-VL-3B-Instruct2026.0339.3926.0328.5715.6837.540.5417.0748.2829.738.3347.3761.1138.462028.16