Depth Generalization in LLMs for Recursive Logic Tasks: An Exploration

This ArXiv article likely investigates how well Large Language Models (LLMs) can handle recursive logic, a challenging aspect of reasoning. The study probably focuses on depth generalization, assessing the models' ability to maintain performance as the complexity of the recursive structures increases.

• •Investigates the ability of LLMs to solve recursive logic problems.
• •Focuses on depth generalization, evaluating performance with increasing complexity.
• •Likely provides insights into LLM limitations in complex reasoning.