Comp-Clip + LM + LC

Reported on 4 benchmarks across 1 task · 1 paper · 4 SOTA

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

Natural Language Processing4 results

Question AnsweringonTrecQA
MAP· 2019-05-30
0.868
best: 0.954 (TANDA DeBERTa-V3-Large + ALL)
SOTA
A Compare-Aggregate Model with Latent Clustering for Answer Selection arXiv:1905.12897
Question AnsweringonTrecQA
MRR· 2019-05-30
0.928
best: 0.998 (RLAS-BIABC)
SOTA
A Compare-Aggregate Model with Latent Clustering for Answer Selection arXiv:1905.12897
Question AnsweringonWikiQA
MAP· 2019-05-30
0.764
best: 0.927 (TANDA-DeBERTa-V3-Large + ALL)
SOTA
A Compare-Aggregate Model with Latent Clustering for Answer Selection arXiv:1905.12897
Question AnsweringonWikiQA
MRR· 2019-05-30
0.784
best: 0.939 (TANDA-DeBERTa-V3-Large + ALL)
SOTA
A Compare-Aggregate Model with Latent Clustering for Answer Selection arXiv:1905.12897