DeepConf: Scaling LLM reasoning with confidence, not just compute

The article highlights a research paper (implied by the title) focusing on improving Large Language Model (LLM) reasoning capabilities. The core idea seems to be enhancing the reliability of LLM outputs by focusing on confidence levels, rather than solely relying on increased computational power. This suggests a potential shift in how LLMs are optimized, moving towards more trustworthy and explainable AI.