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Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the same as "The box was on the cat." Over a long text, like a financial ...

Summary: Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task. This ...

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 ...

Abstract: Neural Radiance Fields (NeRF) has been a milestone in 3D reconstruction. However, researchers seldom explore the influence of positional encoding, which is counted in the NeRF. Thus, we ...

What would you do with the time if you got two extra workdays freed up from AI each week? That is what Walmart faced with their new internal AI platform that is saving some store managers up to 15 ...

Meta's original implementation used positional encoding starting from 0. Is that correct, are we doing it, right? @staticmethod def _compute_position_ids(_sequences: List[str], glycine_linker: str) -> ...