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Multiple-choice Question Answering on CommonsenseQA (dev)

76.2AccuracyRoBERTa + CSPT
18.68833.61948.5563.481Oct 30, 2019May 7, 2020Nov 13, 2020May 22, 2021Nov 28, 2021Jun 6, 2022Dec 14, 2022

Evaluation results

MethodLinks
RoBERTa + CSPTpre-training=CSPT, source=leaderboard2019.1076.2
ROBERTa + CSPTsource=leaderboard2019.1076.2
OCN + OMCS pre-train + CN injectpre-training=OMCS, knowledge_injection=ConceptNet2019.1069
OCN + OMCS pre-train + CN injectpre-training=OMCS, knowledge_source=ConceptNet2019.1069
BERT + OMCS pre-trainpre-training=OMCS, source=leaderboard2019.1068.8
BERT + OMCS pre-trainsource=leaderboard, pre-training=OMCS2019.1068.8
OCN + CN injectionknowledge_injection=ConceptNet2019.1067.3
OCN + CN injectionknowledge_source=ConceptNet2019.1067.3
OCN + OMCS pre-trainpre-training=OMCS2019.1065.2
OCN + OMCS pre-trainpre-training=OMCS2019.1065.2
OCNdescription=baseline Option Comparison Network2019.1064.1
OCN2019.1064.1
OCN + ATOMIC pre-trainpre-training=ATOMIC2019.1061.2
OCN + ATOMIC pre-trainpre-training=ATOMIC2019.1061.2
LaMDAEvaluation Protocol=few-shot, Prompting Strategy=Chain-of-Thought (CoT), Backbone Model=LaMDA 137B2022.1255.6
GPT-JEvaluation Protocol=few-shot, Prompting Strategy=Chain-of-Thought (CoT), Backbone Model=GPT-J2022.1236.6
NPPromptEvaluation Protocol=zero-shot, Backbone Model=RoBERTa-large2022.1234.2
GPT-JEvaluation Protocol=few-shot, Prompting Strategy=Direct, Backbone Model=GPT-J2022.1220.9