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Correlation Reasoning on Spatio-Temporal Synthetic Dataset 1.0 (test)

87.12AccuracySTReasoner-8B (Ours)
2.266424.295746.32568.3543Jan 6, 2026

Evaluation results

MethodLinks
STReasoner-8B (Ours)Category=Spatio-Temporal RMs, Prompting=TS Encoder, Tokens (M)=0.72, Est. Cost ($)=0.272026.0187.12
Qwen3-VL-8B-Instruct - SFT+S-GRPOCategory=Open-Source Models, Prompting=Image, Tokens (M)=1.65, Est. Cost ($)=0.662026.0183.92
Qwen3-8B - SFT+S-GRPOCategory=Open-Source Models, Prompting=Text, Tokens (M)=10.26, Est. Cost ($)=3.852026.0181.34
Qwen3-VL-8B-Instruct - SFTCategory=Open-Source Models, Prompting=Image, Tokens (M)=1.65, Est. Cost ($)=0.662026.0180.78
Qwen3-8B - SFTCategory=Open-Source Models, Prompting=Text, Tokens (M)=10.26, Est. Cost ($)=3.852026.0179.84
Claude-4.5-SonnetCategory=Proprietary Models, Prompting=Text, Tokens (M)=8.05, Est. Cost ($)=45.802026.0177.87
Claude-4.5-SonnetCategory=Proprietary Models, Prompting=Image, Tokens (M)=2.84, Est. Cost ($)=17.482026.0176.04
GPT-5.2Category=Proprietary Models, Prompting=Image, Tokens (M)=1.89, Est. Cost ($)=6.692026.0165.08
GPT-5.2Category=Proprietary Models, Prompting=Text, Tokens (M)=6.84, Est. Cost ($)=22.482026.0158.79
Qwen3-VL-8B-InstructCategory=Open-Source Models, Prompting=Image, Tokens (M)=1.65, Est. Cost ($)=0.662026.0153.52
Time-R1-7BCategory=Time Series RMs, Prompting=Text, Tokens (M)=10.26, Est. Cost ($)=3.852026.0148.62
ChatTS-8BCategory=Time Series LMs, Prompting=TS Encoder, Tokens (M)=0.72, Est. Cost ($)=0.272026.0141.08
Time-MQA-7BCategory=Time Series LMs, Prompting=Text, Tokens (M)=10.26, Est. Cost ($)=3.852026.0117.9
Qwen3-8BCategory=Open-Source Models, Prompting=Text, Tokens (M)=10.26, Est. Cost ($)=3.852026.015.53