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Models/LDA

LDA

Reported on 8 benchmarks across 4 tasks · 2 papers

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

Natural Language Processing6 results

  • Word Sense DisambiguationonSemEval 2010 WSI
    AVG
    16.34
    best: 53.6 (BERT+DP)
  • Word Sense DisambiguationonSemEval 2010 WSI
    F-Score
    60.7
    best: 71.3 (BERT+DP)
  • Word Sense DisambiguationonSemEval 2010 WSI
    V-Measure
    4.4
    best: 40.4 (BERT+DP)
  • Word Sense InductiononSemEval 2010 WSI
    AVG
    16.34
    best: 53.6 (BERT+DP)
  • Word Sense InductiononSemEval 2010 WSI
    F-Score
    60.7
    best: 71.3 (BERT+DP)
  • Word Sense InductiononSemEval 2010 WSI
    V-Measure
    4.4
    best: 40.4 (BERT+DP)

Miscellaneous1 result

  • Interpretability Techniques for Deep LearningonCausalGym
    Log odds-ratio (pythia-6.9b)· 2024-02-19
    0.27
    best: 9.95 (DAS)
    CausalGym: Benchmarking causal interpretability methods on linguistic tasksarXiv:2402.12560

Methodology1 result

  • General ClassificationonXOR
    Accuracy· 2020-05-27
    77.2217
    best: 93.1045 (KNN)
    SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference MeasurearXiv:2005.13166