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Linguistic Acceptability on CoLA

83.43AccuracyFinetune
43.566853.915964.26574.6141Nov 15, 2022Nov 27, 2022Dec 9, 2022Dec 21, 2022Jan 2, 2023Jan 14, 2023Jan 27, 2023

Evaluation results

MethodLinks
Finetune2022.1283.43——
ColD-Fusion2022.1282.74——
Multitask2022.1282.42——
MUPPET2022.1281.21——
Latent Concept LearningBackbone=GPT2-large, Configuration=concept tokens as prefixes2023.0175——
Tay et al. (2022)Mode=Fully-supervised, Model Parameters=4x of UD (~44B)2022.1171.5——
UD+-XXLMode=Fully-supervised, Backbone=T5-XXL encoder, Model Parameters=11B2022.1171.42——
Latent Concept LearningLLM=GPT3-b (1.3B)2023.0170.2——
Latent Concept LearningLLM=GPT2 (124M)2023.0169.1——
Latent Concept LearningLLM=GPT2-l (774M)2023.0169.1——
Latent Concept LearningLLM=GPT2-m (355M)2023.0169——
Latent Concept LearningLLM=GPT3-c (6.7B)2023.0169——
Latent Concept LearningLLM=GPT2-xl (1.5B)2023.0168.9——
SimilarLLM=GPT2 (124M)2023.0163.2——
UniformLLM=GPT2-l (774M)2023.0162.7——
UniformLLM=GPT2 (124M)2023.0161.9——
UniformLLM=GPT3-c (6.7B)2023.0159.1——
Latent Concept LearningLLM=GPT3-d (175B)2023.0158.5——
Latent Concept LearningLLM=GPT3-a (350M)2023.0158.2——
SimilarLLM=GPT3-c (6.7B)2023.0158——
UniformLLM=GPT2-m (355M)2023.0157.8——
SimilarLLM=GPT2-m (355M)2023.0157.5——
UniformLLM=GPT2-xl (1.5B)2023.0155.8——
SimilarLLM=GPT2-xl (1.5B)2023.0155——
UniformLLM=GPT3-a (350M)2023.0153.1——
SimilarLLM=GPT3-a (350M)2023.0153.1——
SimilarLLM=GPT2-l (774M)2023.0150.9——
UniformLLM=GPT3-b (1.3B)2023.0146.8——
UniformLLM=GPT3-d (175B)2023.0145.5——
SimilarLLM=GPT3-d (175B)2023.0145.4——
SimilarLLM=GPT3-b (1.3B)2023.0145.1——
Integrated Gradients2026.01—0.540.402
LIMEMode=Standard2026.01—0.2550.21
LIME-LLMBackbone=Claude Sonnet 4.52026.01—0.5980.457
LLimeMode=Generative2026.01—0.3910.261
Partition SHAP2026.01—0.5440.393