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Bidirectional Long-Range Parser for Sequential Data Understanding
April 9, 2024, 4:43 a.m. | George Leotescu, Daniel Voinea, Alin-Ionut Popa
cs.LG updates on arXiv.org arxiv.org
Abstract: The transformer is a powerful data modelling framework responsible for remarkable performance on a wide range of tasks. However, they are limited in terms of scalability as it is suboptimal and inefficient to process long-sequence data. To this purpose we introduce BLRP (Bidirectional Long-Range Parser), a novel and versatile attention mechanism designed to increase performance and efficiency on long-sequence tasks. It leverages short and long range heuristics in the form of a local sliding window …
abstract arxiv cs.cl cs.cv cs.lg data framework however modelling novel performance process responsible scalability tasks terms transformer type understanding
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