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SOTA
语义文本相似度
Semantic Textual Similarity On Sts15
Semantic Textual Similarity On Sts15
评估指标
Spearman Correlation
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Spearman Correlation
Paper Title
Repository
PromptEOL+CSE+LLaMA-30B
0.9004
Scaling Sentence Embeddings with Large Language Models
AnglE-LLaMA-13B
0.8956
AnglE-optimized Text Embeddings
PromptEOL+CSE+OPT-13B
0.8952
Scaling Sentence Embeddings with Large Language Models
PromptEOL+CSE+OPT-2.7B
0.8951
Scaling Sentence Embeddings with Large Language Models
AnglE-LLaMA-7B-v2
0.8943
AnglE-optimized Text Embeddings
Trans-Encoder-RoBERTa-large-cross (unsup.)
0.8863
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
Trans-Encoder-BERT-large-bi (unsup.)
0.8816
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
PromCSE-RoBERTa-large (0.355B)
0.8808
Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning
SimCSE-RoBERTalarge
0.8666
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Trans-Encoder-RoBERTa-base-cross (unsup.)
0.8577
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
Trans-Encoder-BERT-base-bi (unsup.)
0.8508
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
Trans-Encoder-BERT-base-cross (unsup.)
0.8444
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
DiffCSE-BERT-base
0.8390
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
DiffCSE-RoBERTa-base
0.8281
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
SRoBERTa-NLI-large
0.8185
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Mirror-BERT-base (unsup.)
0.814
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders
Dino (STSb/)
0.8049
Generating Datasets with Pretrained Language Models
Mirror-RoBERTa-base (unsup.)
0.798
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders
IS-BERT-NLI
0.7523
An Unsupervised Sentence Embedding Method by Mutual Information Maximization
BERTlarge-flow (target)
0.7492
On the Sentence Embeddings from Pre-trained Language Models
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