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Question Answering on MetaQA 2-hop (Acc, F1)

95.9AccuracyRELOOP
-3.83622.05747.9573.843Oct 1, 2025Oct 4, 2025Oct 8, 2025Oct 12, 2025Oct 15, 2025Oct 19, 2025Oct 23, 2025

Evaluation results

MethodLinks
RELOOPAggregation Metric=best2025.1095.991.1
RELOOPAggregation Metric=median2025.1093.289.7
AdaptiveRAGTask Specialization=Graph task2025.1088.290.1
Graph-constrained Reasoning (GcR)Category=RAG-based2025.1086.788.1
Think on Graph (ToG)Category=RAG-based2025.1083.284.8
Graph-S^3Generator=Finetuned-7B2025.1063.1776.18
Graph-S^3Generator=Qwen2-7B2025.1053.7365.6
Falcon-H1-7B-InstructCategory=LLM-only (direct QA)2025.1048.3—
Falcon3-10B-instructCategory=LLM-only (direct QA)2025.1043—
Qwen3-4B-Instruct-2507Category=LLM-only (direct QA)2025.1042.2—
Graph-S^3Generator=Llama3-8B2025.1040.1755.49
Llama-3.1-8B-InstructCategory=LLM-only (direct QA)2025.1037.8—
KG-AgentGenerator=Llama3-8B2025.1032.5144.52
KG-AgentGenerator=Finetuned-7B2025.1030.1943.95
KG-AgentGenerator=Qwen2-7B2025.1028.4133.66
RAG/2hopGenerator=Qwen2-7B2025.1010.0721.65
RAG/2hopGenerator=Finetuned-7B2025.107.721.21
RAG/2hopGenerator=Llama3-8B2025.104.515.06
RAG/1hopGenerator=Llama3-8B2025.102.45.98
G-retrieverGenerator=Finetuned-7B2025.102.334.8
RAG/1hopGenerator=Finetuned-7B2025.101.837.44
No graphGenerator=Llama3-8B2025.101.277.77
LightRAGGenerator=Finetuned-7B2025.100.973.71
LightRAGGenerator=Llama3-8B2025.100.934.33
RAG/1hopGenerator=Qwen2-7B2025.100.771.74
No graphGenerator=Finetuned-7B2025.100.432.64
RAG/3hopGenerator=Finetuned-7B2025.100.432.31
RAG/3hopGenerator=Llama3-8B2025.100.173.37
RAG/3hopGenerator=Qwen2-7B2025.100.132.21
G-retrieverGenerator=Qwen2-7B2025.100.10.77
G-retrieverGenerator=Llama3-8B2025.100.10.83
No graphGenerator=Qwen2-7B2025.100.070.95
No retrieverGenerator=Qwen2-7B2025.1000.49
ToGGenerator=Qwen2-7B2025.1000
LightRAGGenerator=Qwen2-7B2025.1000.19
No retrieverGenerator=Llama3-8B2025.1001.11
ToGGenerator=Llama3-8B2025.1000.63
No retrieverGenerator=Finetuned-7B2025.1000.34
ToGGenerator=Finetuned-7B2025.1000.12