Aug 2026
LiteLLM: a lightweight transformer architecture for efficient short-text classification
LiteLLM is introduced, a lightweight transformer architecture explicitly optimized for short-text scenarios that delivers competitive performance, fast convergence, and competitive cross-domain performance across heterogeneous short-text settings.
Hussein Ala’a Alkaabi, Fuqdan A. Al-Ibraheemi, Ali kadhim Jasim
· Neural computing & applicati... · 0 citations