SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs
arXiv:2604.07737v1 Announce Type: new Abstract: While transformer-based Large Language Models (LLMs) theoretically support massive context windows, they suffer from severe performance degradation when