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Open-Domain Question Answering on TriviaQA (test)

72.6Exact MatchRFiD-large
26.00838.10450.262.296Dec 8, 2020May 6, 2021Oct 3, 2021Mar 2, 2022Jul 30, 2022Dec 27, 2022May 26, 2023

Evaluation results

MethodLinks
RFiD-large#para=990M, implementation=our implementation2023.0572.6——
Reader-to-Retriever DistillationRetriever Initialization=DPR, Reader Backbone=T5 large2020.1272.5——
FiD-large#para=990M, implementation=our implementation2023.0571.9——
EMDR2top-K=50, # of params=440M, decoding strategy=greedy2021.0671.4——
ColBERT-QAlarge2022.0570.1——
KG-FiD (large)#params=994M2021.1069.8——
KG-FiD-large#para=994M2023.0569.8——
GRAPE-large#para=1.01B2023.0569.8——
RFiD-base#para=440M, implementation=our implementation2023.0569.6——
Reader-to-Retriever DistillationRetriever Initialization=DPR, Reader Backbone=T5 base2020.1269.3——
FiD-base#para=440M, implementation=our implementation2023.0569——
UnitedQA-Elarge2022.0568.9——
FiD-KDtop-K=100, # of params=440M2021.0668.8——
FiD (MSS + DPR retriever, T5 reader)top-K=50, # of params=440M, decoding strategy=greedy2021.0668.8——
FiD (large)#params=990M, implementation=ours2021.1068.7——
Reader-to-Retriever DistillationRetriever Initialization=BM25, Reader Backbone=T5 base2020.1267.7——
Izacard and Grave, 2021Note=SoTA number2020.1267.6——
FiD (large)#params=990M, implementation=reported2021.1067.6——
Fusion-in-DecoderReader Backbone=T5 large2020.1267.6——
FiD-large#para=990M, source=related reader models2023.0567.6——
TOURhardTop-k=202022.0566.8——
KG-FiD (base)#params=443M2021.1066.7——
KG-FiD-base#para=443M2023.0566.7——
KAQA#params=110M2021.1066.6——
TOURsoftTop-k=202022.0566.6——
TOURsoftTop-k=102022.0566.5——
TOURhardTop-k=102022.0566.4——
FiD (DPR retriever, T5 reader) (K=50)top-K=50, # of params=440M, decoding strategy=greedy2021.0666.3——
FiD (base)#params=440M, implementation=ours2021.1066.2——
GRAPE-base#para=454M2023.0566.2——
Phrase re-rankerTop-k=402022.0566——
Phrase re-rankerTop-k=102022.0565.4——
UniK-QATraining Setting=Per-dataset, Knowledge Source=Text + tables2020.1265.1——
FiDtop-K=100, # of params=440M2021.0665——
FiD (base)#params=440M, implementation=reported2021.1065——
Fusion-in-DecoderReader Backbone=T5 base2020.1265——
FiD-base#para=440M, source=related reader models2023.0565——
Joint Top K#params=440M2021.1064.8——
UniK-QATraining Setting=Per-dataset, Knowledge Source=Text + tables + KB2020.1264.1——
UniK-QA#params=990M, Wikipedia-Tables=true2021.1064.1——
UniK-QATraining Setting=Per-dataset, Knowledge Source=Text2020.1264——
UniK-QATraining Setting=Multi-dataset, Knowledge Source=Text + tables2020.1264——
UniK-QATraining Setting=Multi-dataset, Knowledge Source=Text + tables + KB2020.1263.4——
ColBERT-QA2020.1263.2——
Reader-to-Retriever DistillationRetriever Initialization=BERT, Reader Backbone=T5 base2020.1262.7——
GAR2022.0562.7——
UniK-QATraining Setting=Multi-dataset, Knowledge Source=Text2020.1262.6——
RECONSIDER#params=670M2021.1061.7——
DPRmulti (large) + Re-rankerTop-k=52022.0561.7——
DPRmulti (large)2022.0560.9——
FiD (MSS retriever, MSS reader)top-K=50, # of params=440M, decoding strategy=greedy2021.0659.8——
RECONSIDERtop-K=30, # of params=440M2021.0659.3——
DPRmulti + Re-rankerTop-k=52022.0559.3——
DPR2020.1257.9——
DPRtop-K=25, # of params=330M2021.0656.8——
RAG-Sequencetop-K=50, # of params=626M2021.0656.8——
DPRmulti2022.0556.8——
DensePhrasesmulti + PRFRocchioTop-k=102022.0556.5——
DensePhrasesmulti2022.0556.3——
RAG#params=626M2021.1056.1——
RAG2020.1256.1——
RAG#para=626M2023.0556.1——
Graph-Retriever#params=110M2021.1055.8——
FiD (DPR retriever, T5 reader) (K=1)top-K=1, # of params=440M, decoding strategy=greedy2021.0650.4——
BM25 + BERTtop-K=5, # of params=220M2021.0647.1——
ORQAtop-K=5, # of params=330M2021.0645——
DensePhrases_NQ + TOUR_hardtop-k=20, s/q (s)=0.782022.0542.9——
DensePhrases_NQ + TOUR_softtop-k=20, s/q (s)=0.782022.0542.7——
DensePhrases_NQ + TOUR_hardtop-k=10, s/q (s)=0.442022.0542.6——
DensePhrases_NQ + TOUR_softtop-k=10, s/q (s)=0.432022.0542.5——
DensePhrases_NQ + Phrase re-rankertop-k=40, s/q (s)=1.042022.0541.7——
DensePhrases_NQ + Phrase re-rankertop-k=10, s/q (s)=0.242022.0540.9——
UniK-QATraining Setting=Per-dataset, Knowledge Source=KB2020.1235.4——
UniK-QATraining Setting=Per-dataset, Knowledge Source=Tables2020.1234.5——
UniK-QATraining Setting=Multi-dataset, Knowledge Source=KB2020.1234.2——
UniK-QATraining Setting=Multi-dataset, Knowledge Source=Tables2020.1233.7——
DensePhrases_NQ2022.0533.4——
DPR_NQ*2022.0529.4——
Retrieval-free (Roberts et al., 2020)Model=T52020.1228.7——
FiD / T5-base (Ours)top-K=0, # of params=220M, decoding strategy=greedy2021.0627.8——
ANCEModel Type=dense2021.10—80.385.2
BM25Model Type=sparse2021.10—76.483.2
DPR + BM25Model Type=hybrid2021.10—82.686.5
DPR multiModel Type=dense2021.10—78.984.8
PAQ AModel Type=dense2021.10—76.583.4
SPAR-MARCOModel Type=dense, Evaluation Mode=Cross-dataset model generalization2021.10—8286.6
SPAR-PAQModel Type=dense, Teacher=BM25, Base Model=PAQ2021.10—82.586.9
SPAR-WikiModel Type=dense, Teacher=BM25, Base Model=Wiki2021.10—82.686.7
Wiki AModel Type=dense2021.10—75.783.3
xMoCoModel Type=dense2021.10—80.185.7