Curious Case of Chain of Thought: Improving CoT Efficiency via Training-Free Steerable Reasoning

Researchers from the University of Texas at Austin and Intel Labs investigated chain-of-thought reasoning structures in large language models to identify and calibrate flawed reasoning pathways

Ce contenu a été publié dans Non classé. Vous pouvez le mettre en favoris avec ce permalien.