Optimizing the Learnable RoPE Theta Parameter in Transformers
Rotary Position Embedding (RoPE) enhances Transformer models by encoding relative positions through a frequency parameter <inline-formula> <tex-math notation="LaTeX">$\theta $ </tex-math></inline-formula>, but conventional implementations fix <inline-formula>...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11084811/ |
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