Article

Interpretable Reasoning in Large Language Models: A Neurosymbolic Approach

2026-07-03

Abstract excerpt

Large Language Models (LLMs) have demonstrated remarkable proficiency across a spectrum of reasoning tasks, yet their underlying decision-making processes remain largely opaque, hindering their deployment in high-stakes domains where trust and verifiability are paramount. While post-hoc interpretability methods offer surface-level explanations, they often fail to faithfully capture the causal mechanisms driving mo...

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Literature Corpus work: f2b3b629-3a37-57fc-9c73-f79c58cb9059
DOI: 10.14293/pr2199.004036.v1

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