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Commonsense Validation and Explanation on ComVE (test)

98.5AccuracyLlama2-70B
16.267237.616158.96580.3139May 22, 2023Jul 14, 2023Sep 5, 2023Oct 28, 2023Dec 20, 2023Feb 11, 2024Apr 4, 2024

Evaluation results

MethodLinks
Llama2-70BPrompt Order=explain-then-predict (EP)2024.0498.569.20.238—
Llama2-70BPrompt Order=predict-then-explain (PE)2024.0497.7700.172—
Llama2-13BPrompt Order=explain-then-predict (EP)2024.0475.878.40.201—
Llama2-13BPrompt Order=predict-then-explain (PE)2024.0475.6820.036—
SPARSEFIT (Att.Q+LN)Trainable Parameters=6.84%, FLOPS=2.37e14, Base Model=T5-large, Few-shot splits=602023.0574.86——69.02
AdaLoRA (1.15%)Trainable Parameters=1.15%, FLOPS=1.48e15, Base Model=T5-large, Few-shot splits=602023.0569.66——64.06
LoRA (Att.KQVO, Rank=4)Trainable Parameters=0.32%, FLOPS=2.75e14, Base Model=T5-large, Few-shot splits=602023.0568.96——63.48
LoRA (Att.QV, Rank=128)Trainable Parameters=4.86%, FLOPS=2.88e14, Base Model=T5-large, Few-shot splits=602023.0567.77——61.36
(IA)³Trainable Parameters=0.07%, FLOPS=2.74e14, Base Model=T5-large, Few-shot splits=602023.0558.53——53.87
Llama2-7BPrompt Order=predict-then-explain (PE)2024.0455.281.30.04—
Llama2-7BPrompt Order=explain-then-predict (EP)2024.0452.478.70.125—
Random2024.0450—0—
AdaLoRA (4.48%)Trainable Parameters=4.48%, FLOPS=2.87e14, Base Model=T5-large, Few-shot splits=602023.0519.43——16.26