| semantic-textual-similarity-on-mteb | ST5-XXL | #2 | Spearman Correlation: 82.63 |
| semantic-textual-similarity-on-mteb | ST5-Large | #3 | Spearman Correlation: 81.83 |
| semantic-textual-similarity-on-mteb | ST5-XL | #4 | Spearman Correlation: 81.66 |
| semantic-textual-similarity-on-mteb | ST5-Base | #5 | Spearman Correlation: 81.14 |
| semantic-textual-similarity-on-mteb | MPNet-multilingual | #6 | Spearman Correlation: 80.73 |
| semantic-textual-similarity-on-mteb | SGPT-5.8B-nli | #7 | Spearman Correlation: 80.53 |
| semantic-textual-similarity-on-mteb | MPNet | #8 | Spearman Correlation: 80.28 |
| semantic-textual-similarity-on-mteb | MiniLM-L12 | #9 | Spearman Correlation: 79.8 |
| semantic-textual-similarity-on-mteb | SimCSE-BERT-sup | #10 | Spearman Correlation: 79.12 |
| semantic-textual-similarity-on-mteb | MiniLM-L6 | #11 | Spearman Correlation: 78.92 |
| semantic-textual-similarity-on-mteb | Ada Similarity | #12 | Spearman Correlation: 78.6 |
| semantic-textual-similarity-on-mteb | GTR-XXL | #13 | Spearman Correlation: 78.38 |
| semantic-textual-similarity-on-mteb | GTR-Large | #14 | Spearman Correlation: 78.19 |
| semantic-textual-similarity-on-mteb | SGPT-5.8B-msmarco | #15 | Spearman Correlation: 78.1 |
| semantic-textual-similarity-on-mteb | GTR-XL | #16 | Spearman Correlation: 77.8 |
| semantic-textual-similarity-on-mteb | SGPT-BLOOM-7.1B-msmarco | #17 | Spearman Correlation: 77.74 |
| semantic-textual-similarity-on-mteb | GTR-Base | #18 | Spearman Correlation: 77.07 |
| semantic-textual-similarity-on-mteb | SGPT-2.7B-msmarco | #19 | Spearman Correlation: 76.83 |
| semantic-textual-similarity-on-mteb | coCondenser-msmarco | #20 | Spearman Correlation: 76.47 |
| semantic-textual-similarity-on-mteb | SGPT-1.3B-msmarco | #21 | Spearman Correlation: 75.74 |
| semantic-textual-similarity-on-mteb | SGPT-125M-nli | #22 | Spearman Correlation: 74.71 |
| semantic-textual-similarity-on-mteb | SimCSE-BERT-unsup | #23 | Spearman Correlation: 74.33 |
| semantic-textual-similarity-on-mteb | SGPT-125M-msmarco | #24 | Spearman Correlation: 73.41 |
| semantic-textual-similarity-on-mteb | LaBSE | #25 | Spearman Correlation: 70.8 |
| semantic-textual-similarity-on-mteb | Komninos | #26 | Spearman Correlation: 62.47 |
| semantic-textual-similarity-on-mteb | Glove | #27 | Spearman Correlation: 61.85 |
| semantic-textual-similarity-on-mteb | SPECTER | #28 | Spearman Correlation: 61.02 |
| semantic-textual-similarity-on-mteb | LASER2 | #29 | Spearman Correlation: 55.32 |
| semantic-textual-similarity-on-mteb | BERT | #30 | Spearman Correlation: 54.36 |
| text-classification-on-mteb | ST5-XXL | #1 | Accuracy: 73.42 |
| text-classification-on-mteb | ST5-XL | #2 | Accuracy: 72.84 |
| text-classification-on-mteb | ST5-Large | #3 | Accuracy: 72.31 |
| text-classification-on-mteb | Ada Similarity | #4 | Accuracy: 70.44 |
| text-classification-on-mteb | SGPT-5.8B-nli | #5 | Accuracy: 70.14 |
| text-classification-on-mteb | ST5-Base | #6 | Accuracy: 69.81 |
| text-classification-on-mteb | SGPT-5.8B-msmarco | #7 | Accuracy: 68.13 |
| text-classification-on-mteb | MPNet-multilingual | #8 | Accuracy: 67.91 |
| text-classification-on-mteb | GTR-XXL | #9 | Accuracy: 67.41 |
| text-classification-on-mteb | SimCSE-BERT-sup | #10 | Accuracy: 67.32 |
| text-classification-on-mteb | GTR-Large | #11 | Accuracy: 67.14 |
| text-classification-on-mteb | SGPT-2.7B-msmarco | #12 | Accuracy: 67.13 |
| text-classification-on-mteb | GTR-XL | #13 | Accuracy: 67.11 |
| text-classification-on-mteb | Contriever | #14 | Accuracy: 66.68 |
| text-classification-on-mteb | SGPT-1.3B-msmarco | #15 | Accuracy: 66.52 |
| text-classification-on-mteb | SGPT-BLOOM-7.1B-msmarco | #16 | Accuracy: 66.19 |
| text-classification-on-mteb | GTR-Base | #17 | Accuracy: 65.25 |
| text-classification-on-mteb | MPNet | #18 | Accuracy: 65.07 |
| text-classification-on-mteb | coCondenser-msmarco | #19 | Accuracy: 64.71 |
| text-classification-on-mteb | MiniLM-L12-multilingual | #20 | Accuracy: 64.3 |
| text-classification-on-mteb | MiniLM-L12 | #21 | Accuracy: 63.21 |
| text-classification-on-mteb | MiniLM-L6 | #22 | Accuracy: 63.06 |
| text-classification-on-mteb | LaBSE | #23 | Accuracy: 62.71 |
| text-classification-on-mteb | SimCSE-BERT-unsup | #24 | Accuracy: 62.5 |
| text-classification-on-mteb | BERT | #25 | Accuracy: 61.66 |
| text-classification-on-mteb | SGPT-125M-nli | #26 | Accuracy: 61.46 |
| text-classification-on-mteb | SGPT-125M-msmarco | #27 | Accuracy: 60.72 |
| text-classification-on-mteb | Komninos | #28 | Accuracy: 57.65 |
| text-classification-on-mteb | Glove | #29 | Accuracy: 57.29 |
| text-classification-on-mteb | LASER2 | #30 | Accuracy: 53.65 |
| text-classification-on-mteb | SPECTER | #31 | Accuracy: 52.37 |
| text-clustering-on-mteb | ST5-XXL | #1 | V-Measure: 43.71 |
| text-clustering-on-mteb | MPNet | #2 | V-Measure: 43.69 |
| text-clustering-on-mteb | GTR-XXL | #3 | V-Measure: 42.42 |
| text-clustering-on-mteb | MiniLM-L6 | #4 | V-Measure: 42.35 |
| text-clustering-on-mteb | ST5-XL | #5 | V-Measure: 42.34 |
| text-clustering-on-mteb | MiniLM-L12 | #6 | V-Measure: 41.81 |
| text-clustering-on-mteb | ST5-Large | #7 | V-Measure: 41.65 |
| text-clustering-on-mteb | GTR-Large | #8 | V-Measure: 41.6 |
| text-clustering-on-mteb | GTR-XL | #9 | V-Measure: 41.51 |
| text-clustering-on-mteb | Contriever | #10 | V-Measure: 41.1 |
| text-clustering-on-mteb | SGPT-5.8B-msmarco | #11 | V-Measure: 40.35 |
| text-clustering-on-mteb | ST5-Base | #12 | V-Measure: 40.21 |
| text-clustering-on-mteb | SGPT-1.3B-msmarco | #13 | V-Measure: 39.92 |
| text-clustering-on-mteb | SGPT-2.7B-msmarco | #14 | V-Measure: 39.83 |
| text-clustering-on-mteb | SGPT-BLOOM-7.1B-msmarco | #15 | V-Measure: 38.93 |
| text-clustering-on-mteb | GTR-Base | #16 | V-Measure: 38.63 |
| text-clustering-on-mteb | MPNet-multilingual | #17 | V-Measure: 38.4 |
| text-clustering-on-mteb | coCondenser-msmarco | #18 | V-Measure: 37.64 |
| text-clustering-on-mteb | Ada Similarity | #19 | V-Measure: 37.52 |
| text-clustering-on-mteb | MiniLM-L12-multilingual | #20 | V-Measure: 37.14 |
| text-clustering-on-mteb | SGPT-5.8B-nli | #21 | V-Measure: 36.98 |
| text-clustering-on-mteb | SGPT-125M-msmarco | #22 | V-Measure: 35.79 |
| text-clustering-on-mteb | SPECTER | #23 | V-Measure: 34.06 |
| text-clustering-on-mteb | SimCSE-BERT-sup | #24 | V-Measure: 33.43 |
| text-clustering-on-mteb | SGPT-125M-nli | #25 | V-Measure: 30.95 |
| text-clustering-on-mteb | BERT | #26 | V-Measure: 30.12 |
| text-clustering-on-mteb | LaBSE | #27 | V-Measure: 29.55 |
| text-clustering-on-mteb | SimCSE-BERT-unsup | #28 | V-Measure: 29.04 |
| text-clustering-on-mteb | Glove | #29 | V-Measure: 27.73 |
| text-clustering-on-mteb | Komninos | #30 | V-Measure: 26.57 |
| text-clustering-on-mteb | LASER2 | #31 | V-Measure: 15.28 |
| text-retrieval-on-mteb | SGPT-5.8B-msmarco | #1 | nDCG@10: 50.25 |
| text-retrieval-on-mteb | GTR-XXL | #2 | nDCG@10: 48.48 |
| text-retrieval-on-mteb | SGPT-BLOOM-7.1B-msmarco | #3 | nDCG@10: 48.21 |
| text-retrieval-on-mteb | GTR-XL | #4 | nDCG@10: 47.96 |
| text-retrieval-on-mteb | GTR-Large | #5 | nDCG@10: 47.42 |
| text-retrieval-on-mteb | SGPT-2.7B-msmarco | #6 | nDCG@10: 46.54 |
| text-retrieval-on-mteb | GTR-Base | #7 | nDCG@10: 44.67 |
| text-retrieval-on-mteb | SGPT-1.3B-msmarco | #8 | nDCG@10: 44.49 |
| text-retrieval-on-mteb | MPNet | #9 | nDCG@10: 43.81 |
| text-retrieval-on-mteb | MiniLM-L12 | #10 | nDCG@10: 42.69 |
| text-retrieval-on-mteb | ST5-XXL | #11 | nDCG@10: 42.24 |
| text-retrieval-on-mteb | MiniLM-L6 | #12 | nDCG@10: 41.95 |
| text-retrieval-on-mteb | Contriever | #13 | nDCG@10: 41.88 |
| text-retrieval-on-mteb | ST5-XL | #14 | nDCG@10: 38.47 |
| text-retrieval-on-mteb | SGPT-125M-msmarco | #15 | nDCG@10: 37.04 |
| text-retrieval-on-mteb | ST5-Large | #16 | nDCG@10: 36.71 |
| text-retrieval-on-mteb | MPNet-multilingual | #17 | nDCG@10: 35.34 |
| text-retrieval-on-mteb | ST5-Base | #18 | nDCG@10: 33.63 |
| text-retrieval-on-mteb | coCondenser-msmarco | #19 | nDCG@10: 32.96 |
| text-retrieval-on-mteb | MiniLM-L12-multilingual | #20 | nDCG@10: 32.45 |
| text-retrieval-on-mteb | SGPT-5.8B-nli | #21 | nDCG@10: 32.34 |
| text-retrieval-on-mteb | SimCSE-BERT-sup | #22 | nDCG@10: 21.82 |
| text-retrieval-on-mteb | Glove | #23 | nDCG@10: 21.62 |
| text-retrieval-on-mteb | Komninos | #24 | nDCG@10: 21.22 |
| text-retrieval-on-mteb | SGPT-125M-nli | #25 | nDCG@10: 20.9 |
| text-retrieval-on-mteb | SimCSE-BERT-unsup | #26 | nDCG@10: 20.29 |
| text-retrieval-on-mteb | LaBSE | #27 | nDCG@10: 18.99 |
| text-retrieval-on-mteb | SPECTER | #28 | nDCG@10: 15.88 |
| text-retrieval-on-mteb | BERT | #29 | nDCG@10: 10.59 |
| text-retrieval-on-mteb | LASER2 | #30 | nDCG@10: 7.93 |
| text-summarization-on-mteb | MPNet-multilingual | #1 | Spearman Correlation: 31.57 |
| text-summarization-on-mteb | ST5-Base | #2 | Spearman Correlation: 31.39 |
| text-summarization-on-mteb | SimCSE-BERT-unsup | #3 | Spearman Correlation: 31.15 |
| text-summarization-on-mteb | MiniLM-L6 | #4 | Spearman Correlation: 30.81 |
| text-summarization-on-mteb | MiniLM-L12-multilingual | #5 | Spearman Correlation: 30.67 |
| text-summarization-on-mteb | GTR-XXL | #6 | Spearman Correlation: 30.64 |
| text-summarization-on-mteb | Komninos | #7 | Spearman Correlation: 30.49 |
| text-summarization-on-mteb | Contriever | #8 | Spearman Correlation: 30.36 |
| text-summarization-on-mteb | SGPT-125M-nli | #9 | Spearman Correlation: 30.26 |
| text-summarization-on-mteb | GTR-XL | #10 | Spearman Correlation: 30.21 |
| text-summarization-on-mteb | ST5-XXL | #11 | Spearman Correlation: 30.08 |
| text-summarization-on-mteb | ST5-XL | #12 | Spearman Correlation: 29.91 |
| text-summarization-on-mteb | BERT | #13 | Spearman Correlation: 29.82 |
| text-summarization-on-mteb | GTR-Base | #14 | Spearman Correlation: 29.67 |
| text-summarization-on-mteb | ST5-Large | #15 | Spearman Correlation: 29.64 |
| text-summarization-on-mteb | coCondenser-msmarco | #16 | Spearman Correlation: 29.5 |
| text-summarization-on-mteb | Glove | #17 | Spearman Correlation: 28.87 |
| text-summarization-on-mteb | MiniLM-L12 | #18 | Spearman Correlation: 27.9 |
| text-summarization-on-mteb | SPECTER | #19 | Spearman Correlation: 27.66 |
| text-summarization-on-mteb | MPNet | #20 | Spearman Correlation: 27.49 |
| text-summarization-on-mteb | Ada Similarity | #21 | Spearman Correlation: 26.94 |
| text-summarization-on-mteb | LASER2 | #22 | Spearman Correlation: 26.8 |
| text-summarization-on-mteb | SGPT-1.3B-msmarco | #23 | Spearman Correlation: 25.44 |
| text-summarization-on-mteb | SGPT-BLOOM-7.1B-msmarco | #24 | Spearman Correlation: 24.99 |
| text-summarization-on-mteb | SGPT-5.8B-msmarco | #25 | Spearman Correlation: 24.75 |
| text-summarization-on-mteb | SimCSE-BERT-sup | #26 | Spearman Correlation: 23.31 |