Papers with APEs

1 papers
The Curious Case of Absolute Position Embeddings (2022.findings-emnlp)

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Challenge: In natural language, it is not absolute position that matters, but relative position . et al., 2017) language models incorporate positional encodings that encode absolute (linear) word order.
Approach: They find that Transformer language models encode word order using positional information . they also find that models that use absolute position embeddings over-rely on positional data .
Outcome: The results raise questions about the efficacy of APEs to model the relativity of position information.

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