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Identifying plausible explanations on δ-SNLI

81.6AccuracyRoBERTa
43.931253.710663.4973.2694May 24, 2023

Evaluation results

MethodLinks
RoBERTaplausibility annotations=with2023.0581.6
KDDC-CSKG (N)knowledge-augmented=true, plausibility annotations=without2023.0569.93
KDDC-ATOMIC (N)knowledge-augmented=true, plausibility annotations=without2023.0569.83
LiPoRplausibility annotations=without2023.0565.26
Tuned BARTsetting=tuned, plausibility annotations=without2023.0564.76
KDDC-CWWV (N)knowledge-augmented=true, plausibility annotations=without2023.0563.24
ZS BARTsetting=zero-shot, plausibility annotations=without2023.0555.12
ZS GPT3setting=zero-shot, plausibility annotations=without2023.0549.69
ZS GPT-NEOsetting=zero-shot, plausibility annotations=without2023.0545.38