Preprint
Jul 2026
Reason Popper-ly: Patching In-Context Reasoning with Inductive Logic Programming
Reason Popper-ly, a neurosymbolic framework that uses inductive logic programming (ILP) to learn relation composition rules from reasoning traces and deploys them as an online verifier for step-level correction, consistently improves terminal accuracy over standard CoT.
Zirong Chen, Meiyi Ma
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