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Natural Language Inference on Breaking NLI (test)

67.4AccuracyOM
50.44854.84959.2563.651Nov 8, 2023

Evaluation results

MethodLinks
OMModel Type=Sequence Encoder2023.1167.4———————————————
BBT-GRCModel Type=Sequence Encoder2023.1165.3———————————————
RIR-GRCModel Type=Sequence Encoder2023.1157.2———————————————
EBT-GRCModel Type=Sequence Encoder2023.1155.6———————————————
CRvNNModel Type=Sequence Encoder2023.1155.3———————————————
RIR-EBT-GRCModel Type=Sequence Encoder2023.1155.2———————————————
BT-GRC OSModel Type=Sequence Encoder2023.1153.2———————————————
BT-GRCModel Type=Sequence Encoder2023.1151.1———————————————
Decomp. Attn2018.08—41.655.153.58515.252.996.965.237.52.131.759.297.543.151.9
ESIM2018.08—70.474.675.596.125.463.790.889.735.9213.369.499.731.265.6
HBMPEmbedding Dimension=600D2018.08—54.769.158.890.481.281.396.982.649.84.54572.184.540.465.1
InferSent2018.08—51.663.749.490.677.285.198.581.647.37.47576.399.639.565.6
KIM2018.08—86.578.893.498.370.896.696.998.773.556.6577.692.179.883.5
WordNet Baseline2018.08—95.594.598.698.710094.867.775.378.540.710089.970.586.285.8