Varun Dhanraj

Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations

Large language models (LLMs) continue to face challenges in reliably solving reasoning tasks, particularly tasks that involve precise rule following, as often found in mathematical reasoning tasks. This paper introduces a novel neurosymbolic method that improves LLM reasoning by encoding hidden stat