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Temporal Reasoning Prediction on ICEWS18 (test)

75.78Positive AccuracyGETER
-1.928818.245638.4258.5944May 21, 2025

Evaluation results

MethodLinks
GETERBackbone=Llama3-8B-Instruct2025.0575.7874.0987.5378.85
GETERBackbone=Mistral-7B-Instruct2025.0575.6175.9487.5179.4
GETERBackbone=Qwen2.5-7B-Instruct2025.0574.7774.4186.7978.37
LoRABackbone=Qwen2.5-7B-Instruct2025.0569.6860.5463.2164.48
LoRABackbone=Mistral-7B-Instruct2025.0564.2264.6376.6368.2
LoRABackbone=Llama3-8B-Instruct2025.0562.346.2466.4658.23
GPT-4oType=zero-shot2025.0560.3322.7840.7242.08
LoRABackbone=Mistral-7B-Instruct, Reasoning Chain=w/o chains text2025.0558.0755.2774.4662.21
LoRABackbone=Llama3-8B-Instruct, Reasoning Chain=w/o chains text2025.0557.4747.1456.353.66
Llama3-8B-InstructType=zero-shot2025.0555.1218.819.1428.79
GPT-4oType=zero-shot w/o chains text2025.0551.6436.6123.7938.32
LoRABackbone=Qwen2.5-7B-Instruct, Reasoning Chain=w/o chains text2025.0545.8259.8366.2756.82
Qwen2.5-7B-InstructType=zero-shot2025.0544.2248.6710.9235.4
Qwen2.5-7B-InstructType=zero-shot w/o chains text2025.0530.9440.5325.1332.34
Llama3-8B-InstructType=zero-shot w/o chains text2025.057.6824.3938.9522.93
Mistral-7B-InstructType=zero-shot2025.054.1433.0641.5825.37
Mistral-7B-InstructType=zero-shot w/o chains text2025.051.0634.2347.6426.53