Enhancing Logical Reasoning in Large Language Models through Graph-based
Synthetic Data
Enhancing Logical Reasoning in Large Language Models through Graph-based
Synthetic Data
Despite recent advances in training and prompting strategies for Large Language Models (LLMs), these models continue to face challenges with complex logical reasoning tasks that involve long reasoning chains. In this work, we explore the potential and limitations of using graph-based synthetic reasoning data as training signals to enhance LLMs' …