From Efficiency to Adaptivity: A Deeper Look at Adaptive Reasoning in Large Language Models

This article likely explores the evolution of reasoning capabilities in Large Language Models (LLMs), shifting the focus from mere efficiency to the ability to adapt and adjust reasoning strategies. It suggests a deeper dive into how LLMs can dynamically change their approach to problem-solving.