TANDA-RoBERTa (ASNQ, TREC-QA)

Reported on 2 benchmarks across 1 task · 1 paper · 2 SOTA

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

Natural Language Processing2 results

Question AnsweringonTrecQA
MAP· uses extra data· 2019-11-11
0.943
best: 0.954 (TANDA DeBERTa-V3-Large + ALL)
SOTA
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection arXiv:1911.04118
Question AnsweringonTrecQA
MRR· uses extra data· 2019-11-11
0.974
best: 0.998 (RLAS-BIABC)
SOTA
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection arXiv:1911.04118