XLNet (Large)
Reported on 3 benchmarks across 1 task · 1 paper · 3 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing3 results
- A1· uses extra data· 2019-06-19SOTA70.3best: 81.8 (T5-3B (explanation prompting))
- A2· uses extra data· 2019-06-19SOTA50.9best: 72.5 (T5-3B (explanation prompting))
- A3· uses extra data· 2019-06-19SOTA49.4best: 74.8 (T5-3B (explanation prompting))