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Semantic Parsing on COGS

99.5AccuracyT5 + CSL-Aug*
45.669659.644873.6287.5952Jan 30, 2022Oct 25, 2022Jul 21, 2023Apr 15, 2024Jan 8, 2025Oct 4, 2025Jun 30, 2026

Evaluation results

MethodLinks
T5 + CSL-Aug*Pre-training=Language Pre-training, Augmentation=CSL-Aug*2022.0199.5
PiSSA-r3Params=3.27M, Best Ep=5.7, Seeds=32026.0698.6
DoRA-r3Params=3.84M, Best Ep=5.7, Seeds=32026.0698
LeARPre-training=None2022.0197.7
LoRA-r64Params=69.73M, Best Ep=5.6, Seeds=52026.0697.64
LoRA-r3Params=3.27M, Best Ep=6.3, Seeds=32026.0697.53
DoRA-r16Params=34.09M, Best Ep=10.0, Seeds=32026.0696.9
LoRA-r16 replay10Params=17.43M, Best Ep=10.0, Seeds=52026.0695.84
LoRA-r16 replay1Params=17.43M, Best Ep=9.6, Seeds=52026.0695.52
LoRA-r16Params=17.43M, Best Ep=9.6, Seeds=52026.0695.44
LoRA-r16 replay5Params=17.43M, Best Ep=9.0, Seeds=52026.0695.4
FProj-LRParams=17.43M, Best Ep=10.8, Seeds=32026.0694.6
Fora-LRParams=17.76M, Best Ep=11.0, Seeds=32026.0694.48
OPLoRA-r16Params=17.43M, Best Ep=10.8, Seeds=52026.0694.44
CorDA-k16-r16Params=17.43M, Best Ep=8.8, Seeds=52026.0694.16
T5 + LEXSYMPre-training=Language Pre-training, Augmentation=LEXSYM2022.0183.62
T5Pre-training=Language Pre-training2022.0183.3
LexLSTMPre-training=None2022.0182.17
LSTM + SubstitutePre-training=None, Augmentation=Substitute2022.0181.99
LSTM + LEXSYMPre-training=None, Augmentation=LEXSYM2022.0181.86
LSTMPre-training=None2022.0161.13
GECAPre-training=None2022.0147.74