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Text Classification on SST-5 (test)

56.21Accuracy

PRL

Updated 25d ago

Evaluation Results

Method	Links
PRL 2025.12		56.21
BCN with SuBiLSTM-Tied+CoVe 2018.05		56.2
PLR-4 2026.03		55.96
DE 2025.12		55.25
T-few 3B 2022.10		55
Static 2026.03		54.78
BCN with SuBiLSTM+CoVe 2018.05		54.5
BCN with 2-layer BiLSTM+CoVe 2018.05		54
APO 2025.12		53.94
GA 2025.12		53.76
BCN+Char+CoVe 2018.05		53.7
BCN with BiLSTM+CoVe 2018.05		53.6
BCN with 2-layer BiLSTM 2018.05		53.5
BCN with SuBiLSTM-Tied 2018.05		53.4
PIAST (E) 2025.12		53.33
PIAST 2025.12		53.27
BCN with BiLSTM 2018.05		53.2
BCN with SuBiLSTM 2018.05		53.2
PIAST (LOO) 2025.12		53.18
NTI 2018.05		53.1
TE-LSTM 2018.05		52.6
MI 2025.12		52.31
NI 2025.12		51.9
Fine-tuned BERT 2024.05		50.41
PIAST (I) 2025.12		49.79
APE 2025.12		49.37
Ensemble of SetFit + OCD 2022.10		48.6
Mean of 5 OCD instances 2022.10		47.9
SetFit + OCD 2022.10		47.8
Our method (Weight Net) 2022.08		44.95
Our method (Weight Net) 2022.08		44.79
Our method (Weight Net) 2022.08		44.68
Constraint-based re-weighting 2022.08		44.62
Fine-Tuned BERT+CE 2022.08		44.06
Fine-Tuned BERT 2022.08		43.76
Fine-Tuned BERT+CE 2022.08		43.71
Spikformer w/ CPG-PE 2024.05		43.62
SetFit 2022.10		43.6
Logit Adjustment 2022.08		43.52
Fine-Tuned BERT 2022.08		43.25
LDAM-DRW 2022.08		43.2
Proportion 2022.08		42.78
Probabilistic Transformer 2023.11		42.77
Fine-Tuned BERT 2022.08		42.7
Spikformer w/ Float-PE 2024.05		42.58
Proportion 2022.08		42.36
Spikformer w/ Random-PE 2024.05		41.86
Spikformer w/o PE 2024.05		41.84
Proportion 2022.08		41.6
LDAM-DRW 2022.08		40.9
LDAM-DRW 2022.08		40.81
Hu et al.'s+Regularization 2022.08		40.14
Transformer 2023.11		40.13
Hu et al.'s 2022.08		39.82
Logit Adjustment 2022.08		39.52
Vanilla BERT 2022.08		36.99
Vanilla BERT 2022.08		36.75
Logit Adjustment 2022.08		36.55
Vanilla BERT 2022.08		36.46
Fine-Tuned BERT+CE 2022.08		36.46