An open framework shows sliding-window training on long sequences is practical for recommenders, with a k-shift embedding enabling million-scale vocabularies on commodity GPUs and up to 6% gains on Retailrocket at 4x training cost.
PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training, 2024
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation
An open framework shows sliding-window training on long sequences is practical for recommenders, with a k-shift embedding enabling million-scale vocabularies on commodity GPUs and up to 6% gains on Retailrocket at 4x training cost.