claim
Saunshi et al. (2025a) posit that reasoning performance in large language models is primarily driven by computational depth rather than total parameter count.
Authors
Sources
- A Survey on the Theory and Mechanism of Large Language Models arxiv.org via serper
Referenced by nodes (1)
- Large Language Models concept