This is key for domains that are highly structured, like language. But the predominant position-encoding method, called rotary position encoding (RoPE), only takes into account the relative distance ...

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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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As Large Language Models (LLMs) are widely used for tasks like document summarization, legal analysis, and medical history evaluation, it is crucial to recognize the limitations of these models. While ...

Transformers have emerged as foundational tools in machine learning, underpinning models that operate on sequential and structured data. One critical challenge in this setup is enabling the model to ...

Abstract: In image semantic communication, the complex wireless channel environment leads to the loss of image details and performance degradation during transmission. To address this issue, we ...