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Question Answering on HotpotQA

77.2EMSGIC
30.358442.519254.6866.8408Mar 5, 2022Nov 17, 2022Aug 1, 2023Apr 15, 2024Dec 28, 2024Sep 11, 2025May 27, 2026

Evaluation results

MethodLinks
SGICBackbone=Llama2-7B, Tuning=LoRA (PEFT), Retrieved documents=102025.0677.280.5
OursBackbone=BERT-base2022.0369.8282.57
B+C+VcorrBackbone=BERT-base2022.0368.3980.42
B+CBCLBackbone=BERT-base2022.0367.7279.65
Supervised SoTA2022.1067.5—
B+DRCABackbone=BERT-base2022.0367.0779.32
B+CL+VBackbone=BERT-base2022.0366.4478.71
B+C+PredictabilityBackbone=BERT-base2022.0366.3679.75
B+C+v4Backbone=BERT-base2022.0366.379.13
B+C+v3Backbone=BERT-base2022.0365.3678.75
B+C+ForgettingBackbone=BERT-base2022.0364.7577.62
B+C+v1Backbone=BERT-base2022.0364.1876.88
B+C+v2Backbone=BERT-base2022.0364.1277.01
B+C+DatasetMapBackbone=BERT-base2022.0363.8676.57
BBackbone=BERT-base2022.0363.5376.42
B+antiCL+VBackbone=BERT-base2022.0363.0175.03
Ψ-RAG øType=Tree-RAG, Reranker=Qwen3-Reranker-8B (Q3R), Abstract Type=keyword2026.0562.274.85
Ψ-RAG ⍋Type=Tree-RAG, Reranker=Qwen3-Reranker-8B (Q3R), Abstract Type=summative2026.0562.174.59
HippoRAG 2Type=Graph-RAG2026.0561.975.4
Full-depth LoRAAdaptation strategy=Full-depth LoRA2026.0560.875.3
Full-depth LoRA2026.0560.875.3
OffShelf-FT-SPEED+BoS-24Adaptation strategy=SPEED+BoS, K=242026.0559.573.7
OffShelf-FT-SPEED+BoSSPEED cutoff (K)=242026.0559.573.7
OffShelf-FT-SPEED+BoS-20Adaptation strategy=SPEED+BoS, K=202026.0559.473.5
OffShelf-FT-SPEED+BoSSPEED cutoff (K)=202026.0559.473.5
DPR + IRCoT + Q3RType=Traditional RAG, Reranker=Qwen3-Reranker-8B (Q3R), Iterative Retrieval Protocol=IRCoT2026.0559.171
HippoRAG 2 + Q3RType=Graph-RAG, Reranker=Qwen3-Reranker-8B (Q3R)2026.0558.771.52
OffShelf-FT-SPEED+BoS-28Adaptation strategy=SPEED+BoS, K=282026.0558.773.4
OffShelf-FT-SPEED+BoSSPEED cutoff (K)=282026.0558.773.4
VECTORRAGLLM=GPT-OSS-120B2026.0558.672.9
BM25 + DPR + Q3RType=Traditional RAG, Reranker=Qwen3-Reranker-8B (Q3R)2026.0558.470.98
Llama3.1 8B InstructAdaptation strategy=None2026.0556.972.7
Llama3.1 8B Instruct2026.0556.972.7
OffShelf-FT-SPEED+BoS-16Adaptation strategy=SPEED+BoS, K=162026.055569.4
OffShelf-FT-SPEED+BoSSPEED cutoff (K)=162026.055569.4
GraphRAGType=Graph-RAG2026.0554.966.3
DPRType=Traditional RAG2026.055263.1
HIPPORAGV2LLM=Qwen3-30B-A3B2026.055064.1
IRCoT QABackbone=GPT3 (175B)2022.1249.360.7
Self-RAGBackbone=Llama2-7B, Tuning=Full parameter fine-tuning2025.0648.729.9
OAKLLM=Qwen3-30B-A3B2026.054758.6
WIKONTICLLM=Qwen3-30B-A3B2026.0546.457.7
OAKLLM=GPT-OSS-120B2026.0546.457.8
RAMBackbone=Qwen3-4B-Instruct, Compression=4x2026.0246.3759.28
RAMBackbone=LLaMA-3.1-8B-Instruct, Compression=4x2026.0246.2459.13
OAK+MENDLLM=GPT-OSS-120B2026.0546.156.8
SAPO-3B-InstructRetrieval Strategy=Agent, Backbone Model=Qwen2.5-3B2026.0345.6—
OAK+MENDLLM=Qwen3-30B-A3B2026.0545.656.4
EXITBackbone=LLaMA-3.1-8B-Instruct, Compression=4x2026.0245.5558.81
EXITBackbone=Qwen3-4B-Instruct, Compression=4x2026.0245.2458.13
SE-SearchRetrieval Strategy=Agent, Backbone Model=Qwen2.5-3B2026.0345—
IN-CONTEXTLLM=Qwen3-30B-A3B2026.054555.6
SAPO-3B-BaseRetrieval Strategy=Agent, Backbone Model=Qwen2.5-3B2026.0344.9—
Original PromptBackbone=Qwen3-4B-Instruct2026.0244.3360.47
BM25Type=Traditional RAG2026.0543.854.07
Activation BeaconBackbone=LLaMA-3.1-8B-Instruct, Compression=4x2026.0243.7857.44
RAPTOR + Q3RType=Tree-RAG, Reranker=Qwen3-Reranker-8B (Q3R)2026.0543.152.54
VECTORRAGLLM=Qwen3-30B-A3B2026.0542.956.5
Search-R1Method Category=Reinforcement Learning-based Methods2026.0142.754.6
ProvenceBackbone=Qwen3-4B-Instruct, Compression=4x2026.0242.3856.11
EXSEARCH-BaseRetrieval Strategy=Agent, Backbone Model=Qwen2.5-3B2026.0342.2—
ProRAGMethod Category=Reinforcement Learning-based Methods2026.0141.452.8
CriticSearchRetrieval Strategy=Agent, Backbone Model=Qwen2.5-3B2026.0341.4—
InForageRetrieval Strategy=Agent, Backbone Model=Qwen2.5-3B2026.0340.9—
KVIBackbone=Mistral-7B-Instruct-v0.32026.0440.8—
ProvenceBackbone=LLaMA-3.1-8B-Instruct, Compression=4x2026.0240.5757.51
AutoRefine-BaseRetrieval Strategy=Agent, Backbone Model=Qwen2.5-3B2026.0340.5—
AutoRefine-InstructRetrieval Strategy=Agent, Backbone Model=Qwen2.5-3B2026.0340.4—
WIKONTICLLM=GPT-OSS-120B2026.0540.450.4
KGGENLLM=GPT-OSS-120B2026.0538.948.5
RAMBackbone=LLaMA-3.1-8B-Instruct, Compression=8x2026.0238.8250.8
O2-SearcherRetrieval Strategy=Agent, Backbone Model=Qwen2.5-3B2026.0338.8—
HIPPORAGV2LLM=GPT-OSS-120B2026.0538.857
KGGENLLM=Qwen3-30B-A3B2026.0538.548.7
ReasonRAGMethod Category=Reinforcement Learning-based Methods2026.0138.448.9
GraphRAGBackbone=Mistral-7B-Instruct-v0.32026.0438.3—
RAMBackbone=Qwen3-4B-Instruct, Compression=8x2026.0237.949.15
ProvenceBackbone=LLaMA-3.1-8B-Instruct, Compression=8x2026.0237.2249.91
RECITE2022.1237.148.4
HiPRAGMethod Category=Reinforcement Learning-based Methods2026.0136.849.1
ProvenceBackbone=Qwen3-4B-Instruct, Compression=8x2026.0236.7448.71
RAGBackbone=Mistral-7B-Instruct-v0.32026.0436.7—
Activation BeaconBackbone=LLaMA-3.1-8B-Instruct, Compression=8x2026.0236.2948.57
EXITBackbone=Qwen3-4B-Instruct, Compression=8x2026.0235.7548.4
ReAct -> CoT-SCBackbone=PaLM-540B2022.1035.1—
ReAct2022.1235.1—
ReSearch-InstructRetrieval Strategy=Agent, Backbone Model=Qwen2.5-3B2026.0335.1—
LongLLMLinguaBackbone=LLaMA-3.1-8B-Instruct, Compression=4x2026.0234.8851.4
CoT-SC -> ReActBackbone=PaLM-540B2022.1034.2—
ZeroSearch-BaseRetrieval Strategy=Agent, Backbone Model=Qwen2.5-3B2026.0333.8—
LooComp (Ours)Reader=LLama-3.1-8B Instruct, Retriever=BM25, k=10, Time=0.078, Rate=12.22026.0333.645.3
CoT-SCBackbone=PaLM-540B2022.1033.4—
ZEROSHOTLLM=GPT-OSS-120B2026.0533.445.1
KVIBackbone=Qwen2.5-7B-Instruct2026.0433.3—
Search-R1-InstructRetrieval Strategy=Agent, Backbone Model=Qwen2.5-3B2026.0333.1—
IN-CONTEXTLLM=GPT-OSS-120B2026.0533.141.8
StepSearch-BaseRetrieval Strategy=Agent, Backbone Model=Qwen2.5-3B2026.0332.9—
GraphRAGBackbone=Qwen2.5-7B-Instruct2026.0432.5—
RefinerReader=LLama-3.1-8B Instruct, Retriever=BM25, k=10, Time=2.750, Rate=8.32026.0332.443.3
EXITBackbone=LLaMA-3.1-8B-Instruct, Compression=8x2026.0232.1650.19