Temporal Reasoning Is Not the Bottleneck: A Probabilistic Inconsistency Framework for Neuro-Symbolic QA

This research paper argues that the bottleneck in large language models' temporal reasoning is not logical deduction but rather unstructured text-to-event representation. It introduces a neuro-symbolic question-answering framework utilizing a Probabilistic Inconsistency Signal (PIS) to decouple semantic extraction from symbolic reasoning, improving performance.