Ruikang Hu

LTRAG: Enhancing Autoformalization and Self-refinement for Logical Reasoning with Thought-Guided RAG

Logical reasoning is fundamental to intelligent systems. Large language models (LLMs) have demonstrated promise in natural language (NL) reasoning, especially with techniques like chain-of-thought (CoT) prompting. Neuro-symbolic methods like Logic-LM and LINC further enhance performance on challengi…