Construct · 1 fields · 1 citations

rotary position embedding: a standalone construct

One name. One construct. A landmark on the map.

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Natural language processing

encoding token positions in a transformer by rotating query and key vectors through position-dependent angles, so attention scores depend on relative position.

In natural language processing, rotary position embedding refers to encoding token positions in a transformer by rotating query and key vectors through position-dependent angles, so attention scores depend on relative position. This meaning comes from Su (2021) in arXiv.[1]

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Nearby constructs

attention5 fields · 10 citationsjingle · one name, five constructs embedding2 fields · 3 citationsjingle · one word, two constructs encoding4 fields · 4 citationsjingle · one word, four constructs

References

Su, J., Lu, Y., Pan, S., Murtadha, A., Wen, B., & Liu, Y. (2021). RoFormer: Enhanced Transformer with Rotary Position Embedding. arXiv. https://doi.org/10.48550/arxiv.2104.09864

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