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Multi-hop Retrieval on HotpotQA

85.9Recall@2G-reasoner
36.91649.63362.3575.067Sep 29, 2025Nov 5, 2025Dec 13, 2025Jan 19, 2026Feb 26, 2026Apr 4, 2026May 12, 2026

Evaluation results

MethodLinks
G-reasoner2025.0985.9——————97.7—
PropRAG2026.0581.9——————881.9
HippoRAG 22025.0980.5——————95.7—
HippoRAG 22026.0580.5——————88.12.4
C2RAGLLM=GPT-4o-mini2026.0379.2——————92.1—
Iter-RetGenLLM=GPT-4o-mini2026.0377.8——————90.4—
GFM-RAGLLM=GPT-4o-mini2026.0377.6——————87.8—
NeuroPathLLM=GPT-4o-mini2026.0376.2——————89.9—
GFM-RAG2025.0975.6——————89.6—
GFM-RAG2026.0575.6——————89.62.9
Qwen3-EmbParameters=8B2025.0974.1——————88.8—
FLARE2026.0573.1——————81.36.5
IRCoTLLM=GPT-4o-mini2026.0369.3——————82.6—
ColBERTv2 + IRCoTreasoning_strategy=IRCoT2026.0567.9——————827.2
HippoRAG + IRCoTreasoning_strategy=IRCoT2026.0567——————833.6
HippoRAG2LLM=GPT-4o-mini2026.0366——————82.8—
Contriever + IRCoTreasoning_strategy=IRCoT2026.0565.9——————81.610.7
BM25 + IRCoTreasoning_strategy=IRCoT2026.0565.6——————7912.4
SAGE2026.0565.1——————77.67
ColBERTv22025.0964.7——————79.3—
ColBERTv22026.0564.7——————79.311.5
SubgraphRAG2026.0561.5——————739.7
Adaptive-RAG2026.0561——————76.416.6
HippoRAGLLM=GPT-4o-mini2026.0360.5——————79.2—
HippoRAG2025.0960.1——————78.5—
HippoRAG2026.0560.1——————78.58.7
KAG2025.0959.4——————86.1—
GTR2026.0559.4——————73.313.8
Proposition2026.0558.7——————71.114.8
GraphRAGVariant=MS2025.0958.3——————76.6—
GraphRAG2026.0558.3——————76.612.2
RAPTOR2025.0958.1——————71.2—
SubgraphRAG2025.0958.1——————71.7—
RAPTOR2026.0558.1——————71.217.7
Contriever2026.0557.2——————75.517.2
BM252025.0955.4——————72.2—
BM252026.0555.4——————72.218.2
BM25LLM=GPT-4o-mini2026.0355——————72.8—
G-Retriever2026.0553.3——————65.515.7
G-retrieverLLM=GPT-4o-mini2026.0352.4——————62.9—
G-retriever2025.0951.8——————63.6—
LightRAGLLM=GPT-4o-mini2026.0339.5——————54—
LightRAG2025.0938.8——————54.7—
LightRAG2026.0538.8——————54.720.5
ACQORetriever=Sparse (BM25), Backbone=Qwen2.5-3B2026.01—0.8690.9160.9750.5120.7770.742——
ACQORetriever=Dense (ANCE), Backbone=Qwen2.5-3B2026.01—0.8220.8580.9120.4960.7340.736——
ConvSearch-R1Retriever=Sparse (BM25), Backbone=Qwen2.5-3B2026.01—0.830.9020.960.5110.770.723——
ConvSearch-R1Retriever=Dense (ANCE), Backbone=Qwen2.5-3B2026.01—0.750.7940.8750.4440.7280.722——
DeepSeek-V3.1Retriever=Sparse (BM25), query decomposition=true2026.01—0.8110.8660.9330.4910.7060.662——
DeepSeek-V3.1Retriever=Dense (ANCE), query decomposition=true2026.01—0.7740.8250.8890.4610.6680.657——
Qwen2.5-3B-instRetriever=Sparse (BM25), query decomposition=false2026.01—0.720.7930.8970.4120.6420.605——
Qwen2.5-3B-instRetriever=Sparse (BM25), query decomposition=true2026.01—0.7530.8120.8950.4270.6590.624——
Qwen2.5-3B-instRetriever=Dense (ANCE), query decomposition=false2026.01—0.6460.7070.8180.3280.5660.56——
Qwen2.5-3B-instRetriever=Dense (ANCE), query decomposition=true2026.01—0.670.730.8180.3490.5750.573——
RawRetriever=Sparse (BM25)2026.01—0.8330.8890.9670.4950.7540.705——
RawRetriever=Dense (ANCE)2026.01—0.6830.7480.8610.3480.6040.595——
vanilla RLRetriever=Sparse (BM25), Backbone=Qwen2.5-3B2026.01—0.8230.8990.9560.4880.7750.732——
vanilla RLRetriever=Dense (ANCE), Backbone=Qwen2.5-3B2026.01—0.7920.8390.8910.4110.7550.744——