LLM Reasoning Enhancement with Subgraph Generation
Published:Dec 29, 2025 10:35
•1 min read
•ArXiv
Analysis
This paper addresses the limitations of Large Language Models (LLMs) in complex reasoning tasks by introducing a framework called SGR (Stepwise reasoning enhancement framework based on external subgraph generation). The core idea is to leverage external knowledge bases to create relevant subgraphs, guiding the LLM's reasoning process step-by-step over this structured information. This approach aims to mitigate the impact of noisy information and improve reasoning accuracy, which is a significant challenge for LLMs in real-world applications.
Key Takeaways
Reference
“SGR reduces the influence of noisy information and improves reasoning accuracy.”