The study analyzes Llama 3.1 and Qwen 3 models, finding deeper layers contribute less and do not perform new computations, explaining diminishing returns in stacked Transformer architectures.

https://arxiv.org/abs//2505.13898

YouTube: https://www.youtube.com/@ArxivPapers

TikTok: https://www.tiktok.com/@arxiv_papers

Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016

Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers