DataTuner_FC

Reported on 4 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Adversarial2 results

Text GenerationonCleaned E2E NLG Challenge
BLEU (Test set)· 2020-04-08
43.6
best: 44.15 (Control Prefixes (T5-large))
SOTA
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity arXiv:2004.06577
Text GenerationonViGGO
BLEU· 2020-04-08
53.6
SOTA
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity arXiv:2004.06577

Natural Language Processing2 results

Data-to-Text GenerationonCleaned E2E NLG Challenge
BLEU (Test set)· 2020-04-08
43.6
best: 44.15 (Control Prefixes (T5-large))
SOTA
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity arXiv:2004.06577
Data-to-Text GenerationonViGGO
BLEU· 2020-04-08
53.6
SOTA
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity arXiv:2004.06577