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RotRNN: Modelling Long Sequences with Rotations
Linear recurrent neural networks, such as State Space Models (SSMs) and Linear Recurrent Units (LRUs), have recently shown state-of-the-art performance on long sequence modelling benchmarks.
Log Summarisation for Defect Evolution Analysis
Log analysis and monitoring are essential aspects in software maintenance and identifying defects.
Latte: Latent Attention for Linear Time Transformers
The time complexity of the standard attention mechanism in transformers scales quadratically with sequence length.
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