HTML (fine-tuning)

Reported on 2 benchmarks across 2 tasks · 1 paper

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

Adversarial1 result

Text GenerationonWebNLG
BLEU· uses extra data· 2021-07-14
65.4
best: 67.32 (Control Prefixes (A1, T5-large))
HTLM: Hyper-Text Pre-Training and Prompting of Language Models arXiv:2107.06955

Natural Language Processing1 result

Data-to-Text GenerationonWebNLG
BLEU· uses extra data· 2021-07-14
65.4
best: 67.32 (Control Prefixes (A1, T5-large))
HTLM: Hyper-Text Pre-Training and Prompting of Language Models arXiv:2107.06955