Bi-CAS-LSTM

Reported on 4 benchmarks across 3 tasks · 1 paper

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

Natural Language Processing4 results

Semantic Textual SimilarityonQuora Question Pairs
Accuracy· 2018-09-07
88.6
best: 92.4 (data2vec)
Cell-aware Stacked LSTMs for Modeling Sentences arXiv:1809.02279
Sentiment AnalysisonSST-5 Fine-grained classification
Accuracy· 2018-09-07
53.6
best: 62.27 (Llama-3.3-70B + CAPO)
Cell-aware Stacked LSTMs for Modeling Sentences arXiv:1809.02279
Sentiment AnalysisonSST-2 Binary classification
Accuracy· 2018-09-07
91.3
best: 97.5 (T5-11B)
Cell-aware Stacked LSTMs for Modeling Sentences arXiv:1809.02279
Paraphrase IdentificationonQuora Question Pairs
Accuracy· 2018-09-07
88.6
best: 92.4 (data2vec)
Cell-aware Stacked LSTMs for Modeling Sentences arXiv:1809.02279