utils/effect_deepseek.csv

Rank,Dataset,Method,Sem_F1,COV,Faith_H,Faith_S,LLM_Cor_Pct
1,MuSiQue,NaiveRAG,0.503,0.362,0.143,0.486,26.4
2,MuSiQue,GraphRAG,0.510,0.386,0.114,0.439,30.3
3,MuSiQue,HybridRAG,0.613,0.472,-,-,38.6
4,MuSiQue,Iterative (Naive),0.469,0.320,-,-,20.4
5,MuSiQue,Iterative (Graph),0.512,0.400,-,-,29.2
6,QuALITY,NaiveRAG,0.858,0.627,0.009,0.404,48.7
7,QuALITY,GraphRAG,0.794,0.546,0.009,0.377,39.3
8,QuALITY,HybridRAG,0.738,0.553,0.438,0.146,41.7
9,QuALITY,Iterative (Naive),0.724,0.506,-,-,35.8
10,QuALITY,Iterative (Graph),0.657,0.446,-,-,28.7
11,Legal,NaiveRAG,0.568,0.469,0.145,0.537,32.2
12,Legal,GraphRAG,0.530,0.443,0.094,0.510,29.3
13,Legal,HybridRAG,0.617,0.520,0.589,0.326,36.1
14,Legal,Iterative (Naive),0.572,0.466,-,-,28.5
15,Legal,Iterative (Graph),0.534,0.439,-,-,26.0
16,Medical,NaiveRAG,0.770,0.599,0.207,0.583,61.1
17,Medical,GraphRAG,0.691,0.541,0.250,0.588,53.5
18,Medical,HybridRAG,0.792,0.620,0.767,0.358,64.7
19,Medical,Iterative (Naive),0.826,0.595,-,-,62.7
20,Medical,Iterative (Graph),0.801,0.575,-,-,59.8