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Question Answering on HotpotQA (test)

67.5Ans EMAISO
19.34831.84944.3556.851Sep 17, 2019Oct 15, 2020Nov 13, 2021Dec 12, 2022Jan 10, 2024Feb 7, 2025Mar 9, 2026

Evaluation results

MethodLinks
AISO2023.0567.580.561.28644.972——
COS2023.0567.480.161.385.345.771.7——
TPRR2023.056779.559.484.344.470.8——
IRRR+2023.0566.379.957.282.643.169.8——
HopRetriever-plus2023.0564.877.856.181.84167.8——
DDRQA2023.0562.575.95178.93663.9——
MDR2023.0562.375.357.580.941.866.6——
MDRRetriever=MDR, Reader=ELECTRA Large2022.0562.375.3——————
GRR2023.05607349.176.435.461.2——
PathRetrieverRetriever=PathRetriever, Reader=Original2022.056073——————
HGN2023.0559.771.45177.437.962.3——
PROMPTRANKRetriever=PROMPTRANK, Reader=ELECTRA Large, Ndemos=22022.0558.171.1——————
Transformer-XH2023.0551.664.140.971.426.151.3——
DSPAuthors=Khattab et al., 20232022.1251.462.9——————
IRCOT QA2022.1249.360.7——————
hierarchical pipeline system for MRSpipeline_mode=whole pipeline2019.0945.357.338.770.825.147.6——
Semantic Retrieval2023.0545.357.338.770.825.147.6——
ICRLModel=Qwen2.5-14B2026.0343.2———————
DrKitRetriever=DrKit, Reader=Original2022.0542.151.7——————
GoldEn Retriever2023.0537.949.830.764.61839.1——
StandardRAGComp. rate=-, Retrieval status=w/ retrieval2026.0137.419.72—————36.6
Ding (2019)2019.0937.148.922.857.712.434.9——
CogQA2023.0537.148.922.857.712.434.9——
RECITEAuthors=Sun et al., 20222022.1237.148.4——————
ReActAuthors=Yao et al., 20222022.1235.1———————
LLMLingua-2Comp. rate=x3, Retrieval status=w/ retrieval2026.0131.416.41—————29.4
MUPPET2019.0930.640.316.747.310.927——
MUPPET2023.0530.640.316.747.310.927——
xRAGComp. rate=x128, Retrieval status=w/ retrieval2026.0130.46—————27.8
InterAugAuthors=Lazaridou et al., 20222022.1230.3———————
ArcAlignerComp. rate=x24, Retrieval status=w/ retrieval2026.0126.634.92—————33.4
COCOMComp. rate=x4, Retrieval status=w/ retrieval2026.0125.232.45—————31.18
CoTModel=Qwen2.5-14B2026.0324.6———————
COCOMComp. rate=x16, Retrieval status=w/ retrieval2026.0124.431.77—————31.2
Yang (2018)2019.092432.93.937.71.916.2——
DirectModel=Qwen2.5-14B2026.0322.6———————
NaiveComp. rate=-, Retrieval status=w/o retrieval2026.0121.213.39—————23.2
ADASOptimizer=Claude-3.5-Sonnet, Executor=Claude-3.7-Sonnet2026.01———————73.3
ADASOptimizer=Claude-3.5-Sonnet, Executor=Qwen 2.5-7B-Instruct2026.01———————68.3
AFlowOptimizer=Claude-3.5-Sonnet, Executor=Claude-3.7-Sonnet2026.01———————63.7
AFlowOptimizer=Claude-3.5-Sonnet, Executor=Qwen 2.5-7B-Instruct2026.01———————67.6
AFlowBackbone LLM=GPT-4o-mini, Validation budget=502026.03———————73.42
BART-largeEvaluation Mode=Zero-shot2022.03——————9.13—
BayesFlowOptimizer=Claude-3.5-Sonnet, Executor=Claude-3.7-Sonnet2026.01———————77.5
BayesFlowOptimizer=Claude-3.5-Sonnet, Executor=Qwen 2.5-7B-Instruct2026.01———————70.1
BIGBIRD-ETCSetup=Fine-tuning2020.07—81.2—89.1—73.6——
CoTOptimizer=Claude-3.5-Sonnet, Executor=Claude-3.7-Sonnet2026.01———————45.1
CoTOptimizer=Claude-3.5-Sonnet, Executor=Qwen 2.5-7B-Instruct2026.01———————21.9
CoTBackbone LLM=GPT-4o-mini2026.03———————67.62
CoT-SCOptimizer=Claude-3.5-Sonnet, Executor=Claude-3.7-Sonnet2026.01———————21.8
CoT-SCOptimizer=Claude-3.5-Sonnet, Executor=Qwen 2.5-7B-Instruct2026.01———————27.1
DecomP (2023)Authors=Khot et al., 2023, Note=Newer version2022.12—53.5——————
DPR+BARTEvaluation Mode=Zero-shot2022.03——————11.57—
FiDEvaluation Mode=Zero-shot2022.03——————22.94—
GSANSetup=Fine-tuning2020.07—81.6—88.7—73.9——
HGNSetup=Fine-tuning2020.07—82.2—88.5—74.2——
InstinctBackbone LLM=GPT-4o-mini, Validation budget=502026.03———————69.92
IOOptimizer=Claude-3.5-Sonnet, Executor=Claude-3.7-Sonnet2026.01———————57.4
IOOptimizer=Claude-3.5-Sonnet, Executor=Qwen 2.5-7B-Instruct2026.01———————21.5
IOBackbone LLM=GPT-4o-mini2026.03———————60.36
LongformerSetup=Fine-tuning2020.07—81.2—88.3—73.2——
MaASOptimizer=Claude-3.5-Sonnet, Executor=Claude-3.7-Sonnet2026.01———————76.3
MaASOptimizer=Claude-3.5-Sonnet, Executor=Qwen 2.5-7B-Instruct2026.01———————56.3
MASPOBBackbone LLM=GPT-4o-mini, Validation budget=502026.03———————75.43
MIPROBackbone LLM=GPT-4o-mini, Validation budget=502026.03———————74.37
PromptBreederBackbone LLM=GPT-4o-mini, Validation budget=502026.03———————68.76
RankCoT2025.02———————32.21
RBGEvaluation Mode=Zero-shot2022.03——————23.36—
ReActBackbone LLM=GPT-4o-mini2026.03———————65.61
Recomp2025.02———————25.36
SEGENCBackbone=BART2025.02———————24.89
Self-RAGBackbone=Llama3-8B-Instruct2025.02———————24.59
T5Evaluation Mode=Zero-shot2022.03——————7.2—
Vanilla RAG2025.02———————29.43