Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...

Abstract: Transformer architecture has enabled recent progress in speech enhancement. Since Transformers are position-agostic, positional encoding is the de facto standard component used to enable ...

Rotary Positional Embedding (RoPE) is a widely used technique in Transformers, influenced by the hyperparameter theta (θ). However, the impact of varying *fixed* theta values, especially the trade-off ...

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First introduced in this Google paper, skewed relative positional encoding (RPE) is an efficient way to enhance the model's knowledge of inter-token distances. The 'skewing' mechanism allows us to ...

The attention mechanism is a core primitive in modern large language models (LLMs) and AI more broadly. Since attention by itself is permutation-invariant, position encoding is essential for modeling ...

ABSTRACT: In recent years, with the frequent occurrence of global forest fires, fire prevention and control technology has become crucial. The advancement of artificial intelligence technology has ...