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Models/Space-XLNet

Space-XLNet

Reported on 9 benchmarks across 3 tasks · 1 paper · 8 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing6 results

Sentiment AnalysisonIMDb Movie Reviews
Accuracy (2 classes)· 2024-01-30
0.9488
SOTA
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638
Sentiment AnalysisonIMDb Movie Reviews
F1 Macro· 2024-01-30
0.9487
SOTA
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638
Text ClassificationonIMDb Movie Reviews
F1 Macro· 2024-01-30
0.9487
SOTA
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638
Text ClassificationonHateXplain
Accuracy (2 classes)· 2024-01-30
0.8798
SOTA
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638
Text ClassificationonHateXplain
F1 Macro· 2024-01-30
0.8797
SOTA
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638
Sentiment AnalysisonIMDb
Accuracy· 2024-01-30
94.88
best: 96.68 (RoBERTa-large with LlamBERT)
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638

Methodology3 results

ClassificationonIMDb Movie Reviews
F1 Macro· 2024-01-30
0.9487
SOTA
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638
ClassificationonHateXplain
Accuracy (2 classes)· 2024-01-30
0.8798
SOTA
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638
ClassificationonHateXplain
F1 Macro· 2024-01-30
0.8797
SOTA
Breaking Free Transformer Models: Task-specific Context Attribution Promises Improved Generalizability Without Fine-tuning Pre-trained LLMs arXiv:2401.16638