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KGGuard+W checkpoints, scores, data, caches and references (code commit 3616af2) (part 10)
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Label efficiency (E7, design split; mean over 3 seeds x draws)

dbpedia_accuracy

Labelled facts used (mean): 1% = 75 (11 errors), 5% = 374 (55 errors), 10% = 748 (112 errors), 25% = 1869 (275 errors), 100% = 7475 (1116 errors)

AP by label budget (mean ± sd over seeds x draws)

method 0.01 0.05 0.1 0.25 1.0
KGGuard+W (cross-fit, + web evidence) 0.149 ± 0.000 0.332 ± 0.022 0.357 ± 0.019 0.398 ± 0.022 0.470 ± 0.000
KGGuard+ (cross-fit) 0.149 ± 0.000 0.306 ± 0.021 0.337 ± 0.018 0.380 ± 0.020 0.454 ± 0.001
KGGuard+W (cross-fit, + web evidence) [combiner=fixed] 0.319 ± 0.029 0.360 ± 0.024 0.371 ± 0.016 0.391 ± 0.012 0.439 ± 0.001
KGGuard+W (cross-fit, + web evidence) [combiner=logistic] 0.279 ± 0.041 0.349 ± 0.023 0.364 ± 0.023 0.394 ± 0.013 0.456 ± 0.000
PredicatePrior (cross-fit) 0.179 ± 0.009 0.230 ± 0.021 0.280 ± 0.021 0.323 ± 0.022 0.404 ± 0.000
GBDT (cross-fit, all features) 0.220 ± 0.027 0.297 ± 0.031 0.344 ± 0.021 0.382 ± 0.024 0.493 ± 0.003
GBDT (cross-fit, all features + web) 0.236 ± 0.034 0.312 ± 0.034 0.362 ± 0.022 0.401 ± 0.028 0.494 ± 0.008
KGGuard+W (cross-fit, + web evidence) [CV-selected combiner] 0.305 ± 0.046 0.356 ± 0.024 0.371 ± 0.016 0.391 ± 0.019 0.470 ± 0.000

Runs beating the best label-free baseline (LLM zero-shot (Qwen2.5-7B), AP 0.257)

method 0.01 0.05 0.1 0.25 1.0
KGGuard+W (cross-fit, + web evidence) 0/15 15/15 15/15 15/15 3/3
KGGuard+ (cross-fit) 0/15 15/15 15/15 15/15 3/3
KGGuard+W (cross-fit, + web evidence) [combiner=fixed] 14/15 15/15 15/15 15/15 3/3
KGGuard+W (cross-fit, + web evidence) [combiner=logistic] 11/15 15/15 15/15 15/15 3/3
PredicatePrior (cross-fit) 0/15 2/15 13/15 15/15 3/3
GBDT (cross-fit, all features) 1/15 14/15 15/15 15/15 3/3
GBDT (cross-fit, all features + web) 4/15 14/15 15/15 15/15 3/3
KGGuard+W (cross-fit, + web evidence) [CV-selected combiner] 12/15 15/15 15/15 15/15 3/3

Label-free baselines (E1, no labels)

method AP
LLM zero-shot (Qwen2.5-7B) 0.257
FactCheck-Consensus (4 LLMs, GIV-F) 0.255
FactCheck-RAG (Gemma2-9B, web) 0.233
FactCheck-GIV-F (Gemma2-9B) 0.219
SDValidate 0.182
PaTyBRED 0.177
FactCheck-DKA (Gemma2-9B) 0.157
TransE 0.151
CAGED 0.142
ComplEx 0.139

Combiner chosen by the CV rule

budget fixed gam logistic
0.01 11 0 4
0.05 13 1 1
0.1 15 0 0
0.25 8 5 2
1 0 3 0

factbench

Labelled facts used (mean): 1% = 15 (7 errors), 5% = 76 (40 errors), 10% = 153 (78 errors), 25% = 382 (195 errors), 100% = 1530 (780 errors)

AP by label budget (mean ± sd over seeds x draws)

method 0.01 0.05 0.1 0.25 1.0
KGGuard+W (cross-fit, + web evidence) 0.510 ± 0.000 0.510 ± 0.000 0.896 ± 0.013 0.919 ± 0.006 0.928 ± 0.000
KGGuard+ (cross-fit) 0.510 ± 0.000 0.510 ± 0.000 0.834 ± 0.011 0.861 ± 0.009 0.876 ± 0.000
KGGuard+W (cross-fit, + web evidence) [combiner=fixed] 0.636 ± 0.074 0.880 ± 0.020 0.899 ± 0.007 0.909 ± 0.005 0.918 ± 0.000
KGGuard+W (cross-fit, + web evidence) [combiner=logistic] 0.609 ± 0.066 0.895 ± 0.012 0.914 ± 0.005 0.918 ± 0.004 0.925 ± 0.000
PredicatePrior (cross-fit) 0.510 ± 0.004 0.508 ± 0.006 0.508 ± 0.005 0.511 ± 0.006 0.509 ± 0.000
GBDT (cross-fit, all features) 0.510 ± 0.000 0.791 ± 0.026 0.856 ± 0.019 0.893 ± 0.009 0.934 ± 0.001
GBDT (cross-fit, all features + web) 0.510 ± 0.000 0.897 ± 0.022 0.938 ± 0.008 0.960 ± 0.007 0.981 ± 0.000
KGGuard+W (cross-fit, + web evidence) [CV-selected combiner] 0.617 ± 0.074 0.883 ± 0.023 0.908 ± 0.008 0.912 ± 0.006 0.928 ± 0.000

Runs beating the best label-free baseline (FactCheck-RAG (Gemma2-9B, web), AP 0.834)

method 0.01 0.05 0.1 0.25 1.0
KGGuard+W (cross-fit, + web evidence) 0/15 0/15 15/15 15/15 3/3
KGGuard+ (cross-fit) 0/15 0/15 6/15 15/15 3/3
KGGuard+W (cross-fit, + web evidence) [combiner=fixed] 0/15 14/15 15/15 15/15 3/3
KGGuard+W (cross-fit, + web evidence) [combiner=logistic] 0/15 15/15 15/15 15/15 3/3
PredicatePrior (cross-fit) 0/15 0/15 0/15 0/15 0/3
GBDT (cross-fit, all features) 0/15 0/15 13/15 15/15 3/3
GBDT (cross-fit, all features + web) 0/15 15/15 15/15 15/15 3/3
KGGuard+W (cross-fit, + web evidence) [CV-selected combiner] 0/15 14/15 15/15 15/15 3/3

Label-free baselines (E1, no labels)

method AP
FactCheck-RAG (Gemma2-9B, web) 0.834
FactCheck-Consensus (4 LLMs, GIV-F) 0.774
LLM zero-shot (Qwen2.5-7B) 0.741
FactCheck-GIV-F (Gemma2-9B) 0.669
SDValidate 0.657
FactCheck-DKA (Gemma2-9B) 0.656
PaTyBRED 0.617
TransE 0.568
CAGED 0.533
ComplEx 0.513

Combiner chosen by the CV rule

budget fixed gam logistic
0.01 4 1 10
0.05 9 0 6
0.1 7 0 8
0.25 6 4 5
1 0 3 0