Equipping Transformer with Random-Access Reading for Long-Context Understanding

Chenghao Yang, Zi Yang, Nan Hua

Long-context modeling presents a significant challenge for transformer-based large language models (LLMs) due to the quadratic complexity of the self-attention mechanism and issues…