#model performance

A new study reveals that longer reasoning in large language models can degrade performance by causing distraction, overfitting, and alignment issues, challenging the idea that more computation always leads to better results.

New research shows that specialized reasoning models combined with efficient inference-time scaling methods like majority voting outperform non-reasoning models in complex tasks, offering insights into optimizing computational resources.