SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs

Implement a training-free attention modification layer that prevents dispersion for numerical sequences. This is a highly reusable component for any math-heavy or data-heavy transformer model.

Suggested repo: sep-attn

"Stop your LLM from losing focus on long numerical sequences without retraining."

Estimated effort: 25h