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Models/PromptEOL+CSE+LLaMA-30B

PromptEOL+CSE+LLaMA-30B

Reported on 7 benchmarks across 1 task · 1 paper · 4 SOTA

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· 2023-07-31
    0.8585
    best: 0.8689 (AnglE-LLaMA-13B)
    SOTA
    Scaling Sentence Embeddings with Large Language ModelsarXiv:2307.16645
  • Semantic Textual SimilarityonSTS15
    Spearman Correlation· 2023-07-31
    0.9004
    SOTA
    Scaling Sentence Embeddings with Large Language ModelsarXiv:2307.16645
  • Semantic Textual SimilarityonSTS13
    Spearman Correlation· 2023-07-31
    0.9025
    best: 0.9058 (AnglE-LLaMA-7B)
    SOTA
    Scaling Sentence Embeddings with Large Language ModelsarXiv:2307.16645
  • Semantic Textual SimilarityonSTS16
    Spearman Correlation· 2023-07-31
    0.8627
    best: 0.87 (AnglE-LLaMA-7B-v2)
    SOTA
    Scaling Sentence Embeddings with Large Language ModelsarXiv:2307.16645
  • Semantic Textual SimilarityonSICK
    Spearman Correlation· 2023-07-31
    0.8238
    best: 0.8243 (PromCSE-RoBERTa-large (0.355B))
    Scaling Sentence Embeddings with Large Language ModelsarXiv:2307.16645
  • Semantic Textual SimilarityonSTS Benchmark
    Spearman Correlation· 2023-07-31
    0.8914
    best: 0.931 (Mnet-Sim)
    Scaling Sentence Embeddings with Large Language ModelsarXiv:2307.16645
  • Semantic Textual SimilarityonSTS12
    Spearman Correlation· 2023-07-31
    0.7972
    best: 0.802 (PromptEOL+CSE+OPT-13B)
    Scaling Sentence Embeddings with Large Language ModelsarXiv:2307.16645