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Models/Top Down Transformer (AdaPool) (464M)

Top Down Transformer (AdaPool) (464M)

Reported on 7 benchmarks across 1 task · 1 paper · 5 SOTA

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

Knowledge Base7 results

Text SummarizationonArxiv HEP-TH citation graph
ROUGE-1· 2022-03-15
50.95
SOTA
Long Document Summarization with Top-down and Bottom-up Inference arXiv:2203.07586
Text SummarizationonArxiv HEP-TH citation graph
ROUGE-2· 2022-03-15
21.93
SOTA
Long Document Summarization with Top-down and Bottom-up Inference arXiv:2203.07586
Text SummarizationonArxiv HEP-TH citation graph
ROUGE-L· 2022-03-15
45.61
SOTA
Long Document Summarization with Top-down and Bottom-up Inference arXiv:2203.07586
Text SummarizationonPubmed
ROUGE-1· 2022-03-15
51.05
SOTA
Long Document Summarization with Top-down and Bottom-up Inference arXiv:2203.07586
Text SummarizationonBookSum
ROUGE· 2022-03-15
38.3
best: 42.13 (Echoes-Extractive-Abstractive)
SOTA
Long Document Summarization with Top-down and Bottom-up Inference arXiv:2203.07586
Text SummarizationonPubmed
ROUGE-2· 2022-03-15
23.26
best: 24.76 (LongT5)
Long Document Summarization with Top-down and Bottom-up Inference arXiv:2203.07586
Text SummarizationonPubmed
ROUGE-L· 2022-03-15
46.47
best: 46.67 (LongT5)
Long Document Summarization with Top-down and Bottom-up Inference arXiv:2203.07586