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Multi-hop Question Answering on HotpotQA fullwiki setting (test)

75.9Answer F1IDRQA
31.169642.782354.39566.0077May 14, 2019Aug 5, 2019Oct 28, 2019Jan 20, 2020Apr 12, 2020Jul 5, 2020Sep 27, 2020

Evaluation results

MethodLinks
IDRQA2020.0975.962.55178.93663.9
MDRReader=ELECTRA2020.0975.362.357.580.941.866.6
Multi-hop Dense Retrieval2020.0975.362.357.580.941.866.6
HopRetriever2020.0973.960.853.179.33863.9
Graph Recurrent Retriever2020.09736049.176.435.461.2
Recurrent Retriever2020.0973604976.435.361.1
Graph Recur. Retriever2019.1172.9660.0449.0876.4135.3561.18
HGNContext Encoder=ALBERT-xxlarge-v2, Retriever=SemanticRetrievalMRS2019.1171.4159.7451.0377.3737.9262.26
Hierarchical Graph Network2020.0971.459.75177.437.962.2
HGNContext Encoder=RoBERTa-large, Retriever=SemanticRetrievalMRS2019.1169.9357.8551.0176.8237.1760.74
HGN2020.0969.256.75076.435.659.9
HGNBackbone=RoBERTa, Retrieval System=SR-MRS2020.0469.1656.7149.9776.3935.3659.86
QUARKRetrieval System=SR-MRS2020.0467.5155.545.6472.9532.8956.23
MIR+EPS+BERT2019.1164.7952.8642.757231.1954.75
Transformer-XH2020.0964.151.640.971.426.151.3
Transformer-XH2020.096451.640.971.426.151.2
Transformer-XH2019.1160.7548.9541.6670.0127.1349.57
Semantic Retrieval2020.0958.846.539.971.526.649.2
BERT pip.status=contemporaneous, platform=official HotpotQA leaderboard2019.1057.3445.3238.6770.8325.1447.6
SR-MRS2020.0457.3445.3238.6770.8325.1447.6
SemanticRetrievalMRS2019.1157.3445.3238.6770.8325.1447.6
Semantic Retrieval MRS2020.0957.345.338.670.825.147.6
PR-Bertstatus=submitted after paper submission deadline2019.1053.7943.3321.959.6314.539.11
PR-BERT2019.1153.7943.3321.959.6314.539.11
Entity-centric BERT Pipelinestatus=submitted after paper submission deadline2019.1053.0941.8226.2657.2917.0139.18
Entity-centric BERT2019.1153.0941.8226.2657.2917.0139.18
DrKIT2020.0951.742.137.159.824.742.9
DrKIT2020.0951.742.13759.824.642.8
CogQA2019.0548.937.122.857.712.434.9
Cognitive Graph2019.0548.937.122.857.812.434.9
Cognitive Graph2019.0648.87—————
CogQA2019.1048.8737.1222.8257.6912.4234.92
Cognitive Graph2019.1148.8737.1222.8257.6912.4234.92
Cognitive Graph2020.0948.837.122.857.612.434.9
GoldEn Retriever2020.0948.637.930.764.218.939.1
GOLDEN Retrieverretrieval steps=2, top-k paragraphs=102019.1048.5837.9230.6964.2418.0439.13
Golden Retriever2019.1148.5837.9230.6964.2418.0439.13
GoldEn Retriever2020.0948.537.930.664.21839.1
TPReasoner2019.1147.4336.04————
DecompRC2019.0540.730————
DECOMPRC2019.0640.65—————
DecompRC2020.0940.630————
MUPPET2019.1040.2630.6116.6547.3310.8527.01
MUPPET2019.1140.2630.6116.6547.3310.8527.01
MultiQA2019.0640.23—————
MultiQA2019.0540.230.7————
MUPPET2020.0940.230.616.647.310.827
GRN + BERT2019.1039.1429.8713.1649.678.2625.84
QFE2019.0538.128.714.244.48.723.1
QFE2019.0538.128.714.244.48.6923.1
QFE2019.0638.06—————
QFE2020.0438.0628.6614.244.358.6923.1
QFE2019.1138.0628.6614.244.358.6923.1
QFE2020.093828.614.244.38.623.1
KGNNSetting=full wiki2019.1137.1927.6512.6547.197.0324.66
GRN2019.0536.527.312.248.87.423.6
GRN2019.0536.527.312.248.87.423.6
GRN2019.0636.48—————
Baseline2019.1034.425.235.0740.692.6317.85
Yang et al. (2018)2019.0532.9243.8637.71.916.2
Baseline2019.0532.9243.8637.71.8516.2
BiDAF2019.0632.89—————
Yang et al. (2018)Setting=full wiki2019.1132.8923.953.8637.711.8516.15
Baseline Model2019.1132.8923.953.8637.711.8516.15