Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning

Benchmark Model Rank Results
semantic-textual-similarity-on-cxcPromCSE-RoBERTa-large (0.355B)#1avg ± std: 74.8± 1.0
semantic-textual-similarity-on-sickPromCSE-RoBERTa-large (0.355B)#1Spearman Correlation: 0.8243
semantic-textual-similarity-on-sts-benchmarkPromCSE-RoBERTa-large (0.355B)#32Spearman Correlation: 0.8787
semantic-textual-similarity-on-sts12PromCSE-RoBERTa-large (0.355B)#3Spearman Correlation: 0.7956
semantic-textual-similarity-on-sts13PromCSE-RoBERTa-large (0.355B)#6Spearman Correlation: 0.8897
semantic-textual-similarity-on-sts14PromCSE-RoBERTa-large (0.355B)#7Spearman Correlation: 0.8381
semantic-textual-similarity-on-sts15PromCSE-RoBERTa-large (0.355B)#8Spearman Correlation: 0.8808
semantic-textual-similarity-on-sts16PromCSE-RoBERTa-large (0.355B)#8Spearman Correlation: 0.8496