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Arxiv
1d
196
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An extension of linear self-attention for in-context learning
- In-context learning is a key characteristic of transformers.
- Self-attention mechanism in transformers lacks flexibility in certain tasks.
- Linear self-attention is extended by introducing a bias matrix.
- The extended linear self-attention enables flexible matrix manipulations.
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