Sentiment Analysis on SST-5

94.84Accuracy

MUPPET

Updated 2d ago

Evaluation Results

Method	Links
MUPPET 2022.12		94.84
ColD-Fusion 2022.12		59.52
ROBERTa-large+Self-Explaining 2020.12		59.1
SentiLARE 2020.12		58.6
ROBERTa-large 2020.12		57.9
ROBERTa-base+Self-Explaining 2020.12		57.8
Multitask 2022.12		57.56
SentiBERT 2020.12		56.9
ROBERTa-base 2020.12		56.4
Finetune 2022.12		56.24
BCN+SuBiLSTM+CoVe 2020.12		56.2
BERT-large 2020.12		56.2
ROBERTa-base+AvgSelf-Explaining 2020.12		56.2
PC 2024.05		55.41
BERT-base 2020.12		54.9
UniBias 2024.05		53.79
PC 2024.05		53.63
Se² 2024.02		52.7
UPRISE 2024.02		52.6
DC 2024.05		51.92
UniBias 2024.05		51.8
CC 2024.05		51.36
ICL 2024.05		51.03
DC 2024.05		48.98
CLG 2025.06		48.32
CC 2024.05		47.2
ICL 2024.05		46.97
Latent-Bayesian 2025.06		46.59
BGE-KMeans 2025.06		46.41
Random 2025.06		43.71
BM25-Major 2025.06		43.69
Best-of-N 2025.06		43.69
EPR-KMeans 2025.06		43.05
CLG 2025.06		38.33
BM25-Major 2025.06		37.78
BGE-KMeans 2025.06		37.24
Best-of-N 2025.06		36.6
EPR-KMeans 2025.06		36.15
Random 2025.06		36
Zero-shot 2024.02		28.2
Best-of-10 2024.02		27.7
BM25 2024.02		27.5
Latent-Bayesian 2025.06		27.25
SBERT 2024.02		22.6
Random 2024.02		22.5
AES 2024.02		20.9
Instructor 2024.02		20.1