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Models/IS-BERT-NLI

IS-BERT-NLI

Reported on 7 benchmarks across 1 task · 1 paper

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

Natural Language Processing7 results

Semantic Textual SimilarityonSTS14
Spearman Correlation· 2020-09-25
0.6121
best: 0.8689 (AnglE-LLaMA-13B)
An Unsupervised Sentence Embedding Method by Mutual Information Maximization arXiv:2009.12061
Semantic Textual SimilarityonSTS15
Spearman Correlation· 2020-09-25
0.7523
best: 0.9004 (PromptEOL+CSE+LLaMA-30B)
An Unsupervised Sentence Embedding Method by Mutual Information Maximization arXiv:2009.12061
Semantic Textual SimilarityonSICK
Spearman Correlation· 2020-09-25
0.6425
best: 0.8243 (PromCSE-RoBERTa-large (0.355B))
An Unsupervised Sentence Embedding Method by Mutual Information Maximization arXiv:2009.12061
Semantic Textual SimilarityonSTS13
Spearman Correlation· 2020-09-25
0.6924
best: 0.9058 (AnglE-LLaMA-7B)
An Unsupervised Sentence Embedding Method by Mutual Information Maximization arXiv:2009.12061
Semantic Textual SimilarityonSTS Benchmark
Spearman Correlation· 2020-09-25
0.6921
best: 0.931 (Mnet-Sim)
An Unsupervised Sentence Embedding Method by Mutual Information Maximization arXiv:2009.12061
Semantic Textual SimilarityonSTS12
Spearman Correlation· 2020-09-25
0.5677
best: 0.802 (PromptEOL+CSE+OPT-13B)
An Unsupervised Sentence Embedding Method by Mutual Information Maximization arXiv:2009.12061
Semantic Textual SimilarityonSTS16
Spearman Correlation· 2020-09-25
0.7016
best: 0.87 (AnglE-LLaMA-7B-v2)
An Unsupervised Sentence Embedding Method by Mutual Information Maximization arXiv:2009.12061