04:00
2026-08-11
arxiv.org
machine-learning
Training Variable Long Sequences with Data-Centric Parallel
Researchers introduced Data-Centric Parallel (DCP), a method that dynamically adjusts runtime settings based on each batch's sequence length to train deep learning models on variable long sequences, a…