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Temporal Reasoning on TempCompass

74.4AccuracySDRL
44.44852.2246067.776Mar 26, 2026Mar 28, 2026Mar 30, 2026Apr 2, 2026Apr 4, 2026Apr 6, 2026Apr 9, 2026

Evaluation results

MethodLinks
SDRLTraining=RL, Training dataset=EventFlow2026.0374.4
SDRLTraining=RL2026.0373.4
TW-GRPOTraining=RL2026.0373.3
VideoRFTTraining=SFT+ RL, Input frames=16-frame2026.0373.1
VideoChat-R1Training=RL2026.0372.9
Video-R1Training=SFT+ RL2026.0372.6
Qwen2.5-VL-7BTraining=None2026.0372.5
OmniJigsaw (CMM)Inference Mode=w/o Audio2026.0472.34
VideoJigsawInference Mode=w/ Audio2026.0472.28
Qwen2.5-VL-7BTraining=None, Chain-of-Thought (CoT)=video-r1 CoT2026.0372.2
OmniJigsaw (SMS)Inference Mode=w/ Audio2026.0472.03
OmniJigsaw (CMM)Inference Mode=w/ Audio2026.0472.03
VideoJigsawInference Mode=w/o Audio2026.0471.52
OmniJigsaw (SMS)Inference Mode=w/o Audio2026.0471.52
OmniJigsaw (JMI)Inference Mode=w/o Audio2026.0471.39
OmniJigsaw (JMI)Inference Mode=w/ Audio2026.0471.08
Video-R1Training=RL2026.0370.9
VideoRFTTraining=RL, Input frames=16-frame2026.0370.8
Qwen3-Omni-30BInference Mode=w/o Audio2026.0470.7
Qwen3-Omni-30BInference Mode=w/ Audio2026.0470.63
Video-R1Inference Mode=w/o Audio2026.0470
Qwen2.5-VL-7BTraining=None, Chain-of-Thought (CoT)=ours CoT2026.0369.5
Video-R1Training=SFT2026.0369.2
VideoRFTTraining=SFT, Input frames=16-frame2026.0368.4
HumanOmniV2Inference Mode=w/ Audio2026.0463.86
Omni-R1Inference Mode=w/ Audio2026.0463.1
HumanOmniV2Inference Mode=w/o Audio2026.0463.1
Omni-R1Inference Mode=w/o Audio2026.0462.78
Kangaroo-8BTraining=None2026.0362.5
Video-UTR-7BTraining=None2026.0359.7
VILA-1.5-8BTraining=None2026.0358.8
LongVA-7BTraining=None2026.0356.9
LLaMA-VIDTraining=None2026.0345.6