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Question Answering on Natural Questions (test)

61.65EMBERT-base
4.50219.338534.17549.0115May 28, 2020May 4, 2021Apr 11, 2022Mar 19, 2023Feb 24, 2024Jan 31, 2025Jan 8, 2026

Evaluation results

MethodLinks
BERT-basetraining_data=Natural Questions (human labels)2020.0561.6573.91—————
FiD + Distill.2021.1254.7——————
EMDR22021.1252.5——————
FiD (large)Pretrained model=T5-large, number of parameters=770M2021.0651.4——————
FiD2021.1251.4——————
BPRPretrained model=ELECTRA-large, number of parameters=335M, k=10002021.0649——————
Info-HCVAEtraining_data=SQuAD (labeled) + NQ (synthetic), sampling_factor=N x 102020.0548.4462.69—————
FiD (base)Pretrained model=T5-base, number of parameters=220M2021.0648.2——————
Info-HCVAEtraining_data=SQuAD (labeled) + NQ (synthetic), sampling_factor=N x 52020.0548.1962.21—————
Info-HCVAEtraining_data=SQuAD (labeled) + NQ (synthetic), sampling_factor=N x 32020.0547.7361.98—————
Info-HCVAEtraining_data=SQuAD (labeled) + NQ (synthetic), sampling_factor=N x 22020.0546.9561.34—————
Info-HCVAEtraining_data=SQuAD (labeled) + NQ (synthetic), sampling_factor=N x 12020.0546.761.08—————
RETRO 7.5BRetrieval source=DPR retrieval2021.1245.5——————
RAGPretrained model=BART-large, number of parameters=406M2021.0644.5——————
RAG2021.1244.5——————
xRAGComp. rate=x128, Retrieval status=w/ retrieval2026.0144.133.39———34.04—
StandardRAGComp. rate=-, Retrieval status=w/ retrieval2026.0143.4923.56———44.57—
BERT-basetraining_data=SQuAD only (labeled)2020.0542.7757.29—————
BPRPretrained model=BERT-base, number of parameters=110M, k=10002021.0641.6——————
DPR2021.1241.5——————
Graph-R1 + EKABackbone=Qwen2.5-14B-Instruct2025.1240.6356.02—————
REALM2021.1240.4——————
LLaMAModel Size=65B, Few-shot Setting=64-shot2023.0239.9——————
PaLMModel Size=540B, Few-shot Setting=64-shot2023.0239.6——————
CriSPOLLM=Claude Sonnet, shot_count=64-shot2024.1038.7——————
CriSPOLLM=Claude Sonnet, shot_count=0-shot2024.1038.3——————
CriSPOLLM=Claude Instant, shot_count=64-shot2024.1037.8——————
LLMLingua-2Comp. rate=x3, Retrieval status=w/ retrieval2026.0137.7318.98———36.95—
COCOMComp. rate=x4, Retrieval status=w/ retrieval2026.0136.5939.54———41.5—
CriSPOLLM=Claude Instant, shot_count=0-shot2024.1036.5——————
LLaMAModel Size=33B, Few-shot Setting=64-shot2023.0236——————
ChinchillaModel Size=70B, Few-shot Setting=64-shot2023.0235.5——————
COCOMComp. rate=x16, Retrieval status=w/ retrieval2026.0135.1841.04———41.94—
LLaMAModel Size=65B, Few-shot Setting=5-shot2023.0235——————
ManualLLM=Claude Instant, shot_count=0-shot2024.1034——————
ManualLLM=Claude Instant, shot_count=64-shot2024.1033.4——————
LLaMAModel Size=33B, Few-shot Setting=5-shot2023.0232.9——————
ManualLLM=Claude Sonnet, shot_count=64-shot2024.1032——————
LLaMAModel Size=13B, Few-shot Setting=64-shot2023.0231.9——————
ArcAlignerComp. rate=x24, Retrieval status=w/ retrieval2026.0131.7237.82———37.04—
ChinchillaModel Size=70B, Few-shot Setting=5-shot2023.0231.5——————
LLaMAModel Size=65B, Few-shot Setting=1-shot2023.0231——————
Baseline 7BEvaluation setting=closed book2021.1230.4——————
GPT-3Model Size=175B, Few-shot Setting=64-shot2023.0229.9——————
PaLMModel Size=540B, Few-shot Setting=1-shot2023.0229.3——————
LLaMAModel Size=33B, Few-shot Setting=1-shot2023.0228.3——————
GopherModel Size=280B, Few-shot Setting=64-shot2023.0228.2——————
LLaMAModel Size=13B, Few-shot Setting=5-shot2023.0228.1——————
PaLMModel Size=62B, Few-shot Setting=64-shot2023.0227.6——————
NaiveComp. rate=-, Retrieval status=w/o retrieval2026.0127.216.5———28.25—
ManualLLM=Claude Sonnet, shot_count=0-shot2024.1026.6——————
PaLMModel Size=62B, Few-shot Setting=1-shot2023.0226.5——————
LLaMAModel Size=7B, Few-shot Setting=64-shot2023.0226.1——————
LLaMAModel Size=33B, Few-shot Setting=0-shot2023.0224.9——————
GopherModel Size=280B, Few-shot Setting=5-shot2023.0224.5——————
LLaMAModel Size=65B, Few-shot Setting=0-shot2023.0223.8——————
LLaMAModel Size=13B, Few-shot Setting=1-shot2023.0223.4——————
GPT-3Model Size=175B, Few-shot Setting=1-shot2023.0223——————
LLaMAModel Size=7B, Few-shot Setting=5-shot2023.0222——————
PaLMModel Size=540B, Few-shot Setting=0-shot2023.0221.2——————
LLaMAModel Size=13B, Few-shot Setting=0-shot2023.0220.1——————
LLaMAModel Size=7B, Few-shot Setting=1-shot2023.0218.7——————
PaLMModel Size=62B, Few-shot Setting=0-shot2023.0218.1——————
LLaMAModel Size=7B, Few-shot Setting=0-shot2023.0216.8——————
ChinchillaModel Size=70B, Few-shot Setting=0-shot2023.0216.6——————
GPT-3Model Size=175B, Few-shot Setting=0-shot2023.0214.6——————
PaLMModel Size=8B, Few-shot Setting=64-shot2023.0214.6——————
PaLMModel Size=8B, Few-shot Setting=1-shot2023.0210.6——————
GopherModel Size=280B, Few-shot Setting=0-shot2023.0210.1——————
PaLMModel Size=8B, Few-shot Setting=0-shot2023.028.4——————
OPROLLM=Claude Instant2024.108——————
OPROLLM=Claude Sonnet2024.106.7——————
BART-largeEvaluation Mode=Zero-shot2022.03————10.44——
BIGBIRD-ETCSetup=Fine-tuning2020.07——77.857.9———
DPR+BARTEvaluation Mode=Zero-shot2022.03————16.37——
FiDEvaluation Mode=Zero-shot2022.03————43.93——
HybridRetriever=BERT, Generator=Qwen2.5-3B-Instruct2026.06—42.65————40.18
HybridRetriever=BGE-M3, Generator=Qwen2.5-3B-Instruct2026.06—49.27————47.27
HybridRetriever=Qwen3-Embedding-4B, Generator=Qwen2.5-3B-Instruct2026.06—48.03————46.21
LongLLMLinguaRetriever=BERT, Generator=Qwen2.5-3B-Instruct2026.06—23.04————20.8
LongLLMLinguaRetriever=BGE-M3, Generator=Qwen2.5-3B-Instruct2026.06—45.81————41.84
LongLLMLinguaRetriever=Qwen3-Embedding-4B, Generator=Qwen2.5-3B-Instruct2026.06—44.59————40.57
LongRAGRetriever=BERT, Generator=Qwen2.5-3B-Instruct2026.06—20.93————18.51
LongRAGRetriever=BGE-M3, Generator=Qwen2.5-3B-Instruct2026.06—45.98————42.19
LongRAGRetriever=Qwen3-Embedding-4B, Generator=Qwen2.5-3B-Instruct2026.06—47.44————43.29
MS-PoERetriever=BERT, Generator=Qwen2.5-3B-Instruct2026.06—22.39————19.74
MS-PoERetriever=BGE-M3, Generator=Qwen2.5-3B-Instruct2026.06—44.32————40.15
MS-PoERetriever=Qwen3-Embedding-4B, Generator=Qwen2.5-3B-Instruct2026.06—44.81————40.64
PINERetriever=BERT, Generator=Qwen2.5-3B-Instruct2026.06—19.15————18.43
PINERetriever=BGE-M3, Generator=Qwen2.5-3B-Instruct2026.06—45.47————44.2
PINERetriever=Qwen3-Embedding-4B, Generator=Qwen2.5-3B-Instruct2026.06—46.28————44.66
Qwen2.5-14BTraining Stage=Pre-RL2026.05—————25.24—
Qwen2.5-14BTraining Stage=Post-RL2026.05—————41.88—
Qwen2.5-32BTraining Stage=Pre-RL2026.05—————27.94—
Qwen2.5-32BTraining Stage=Post-RL2026.05—————42.06—
Qwen2.5-72BTraining Stage=Pre-RL2026.05—————34.64—
Qwen2.5-72BTraining Stage=Post-RL2026.05—————49.61—
Qwen2.5-7BTraining Stage=Pre-RL2026.05—————21.42—
Qwen2.5-7BTraining Stage=Post-RL2026.05—————34.12—
Qwen3-30B-A3BTraining Stage=Pre-RL2026.05—————31.42—