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Models/LaBSE

LaBSE

Reported on 11 benchmarks across 6 tasks · 2 papers · 2 SOTA

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

Graphs6 results

  • Node ClassificationonMuMiN-small
    Claim Classification Macro-F1· 2022-02-23
    0.6255
    SOTA
    MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network DatasetarXiv:2202.11684
  • Node ClassificationonMuMiN-medium
    Tweet Classification Macro-F1· 2022-02-23
    0.5745
    SOTA
    MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network DatasetarXiv:2202.11684
  • Node ClassificationonMuMiN-large
    Claim Classification Macro-F1· 2022-02-23
    0.579
    best: 0.598 (HeteroGraphSAGE)
    MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network DatasetarXiv:2202.11684
  • Node ClassificationonMuMiN-large
    Tweet Classification Macro-F1· 2022-02-23
    0.528
    best: 0.6145 (HeteroGraphSAGE)
    MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network DatasetarXiv:2202.11684
  • Node ClassificationonMuMiN-small
    Tweet Classification Macro-F1· 2022-02-23
    0.545
    best: 0.5605 (HeteroGraphSAGE)
    MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network DatasetarXiv:2202.11684
  • Node ClassificationonMuMiN-medium
    Claim Classification Macro-F1· 2022-02-23
    0.5585
    best: 0.577 (HeteroGraphSAGE)
    MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network DatasetarXiv:2202.11684

Natural Language Processing3 results

  • Semantic Textual SimilarityonMTEB
    Spearman Correlation· 2022-10-13
    70.8
    best: 84.54 (AnglE-UAE)
    MTEB: Massive Text Embedding BenchmarkarXiv:2210.07316
  • Text ClusteringonMTEB
    V-Measure· 2022-10-13
    29.55
    best: 43.71 (ST5-XXL)
    MTEB: Massive Text Embedding BenchmarkarXiv:2210.07316
  • Text ClassificationonMTEB
    Accuracy· 2022-10-13
    62.71
    best: 73.42 (ST5-XXL)
    MTEB: Massive Text Embedding BenchmarkarXiv:2210.07316

Methodology2 results

  • RetrievalonMTEB
    nDCG@10· 2022-10-13
    18.99
    best: 50.25 (SGPT-5.8B-msmarco)
    MTEB: Massive Text Embedding BenchmarkarXiv:2210.07316
  • ClassificationonMTEB
    Accuracy· 2022-10-13
    62.71
    best: 73.42 (ST5-XXL)
    MTEB: Massive Text Embedding BenchmarkarXiv:2210.07316