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Inductive Prolog Rule Synthesis on SLR-Bench Overall 1,000 tasks (full)

86.7Accuracy (%)DF + CC + QO
57.26864.90972.5580.191May 6, 2026

Evaluation results

MethodLinks
DF + CC + QOCategory=Hybrid (symbolic + LLM fallback)2026.0586.7138.816.19-0.924
DF + CCCategory=Hybrid (symbolic + LLM fallback)2026.0586.6138.814.91-0.924
DF + QOCategory=Hybrid (symbolic + LLM fallback)2026.0583.9166.114.29-1.123
BoK + CCCategory=Hybrid (symbolic + LLM fallback)2026.0580.3132.414.81-0.796
BoK + CC + QOCategory=Hybrid (symbolic + LLM fallback)2026.0580.3132.416.09-0.795
DF-32Category=LLM-only methods2026.0579.6224.217.43-0.834
o3†Category=LLM-only methods2026.0577.84.3207.24—
gpt-5†Category=LLM-only methods2026.057716.4103.13—
BoK + QOCategory=Hybrid (symbolic + LLM fallback)2026.0575.9162.814.49-1.063
BoKCategory=LLM-only methods2026.0568.7225.317.88-0.611
CC SolverCategory=Symbolic solvers2026.0568.404.01-0.756
QO SolverCategory=Symbolic solvers2026.0560.701.28-1.087
Qwen3.6-35B-A3B (OpenHands)Category=LLM-only methods2026.0558.41,232.6243.41-0.354