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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 · 0 citations