implementation detail · filed under data curation
Subtoken averaging
An initialization method that sets a new special-token embedding to the mean of its constituent subtoken embeddings.
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How sources treat it
One count per evidence span, weakest treatment to strongest.
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Documented in
Evidence
1 span quoted from the sources, strongest treatment first.
For initialization, we use subtoken averaging [25, 72] — each new token’s embedding is initialized as the mean of its constituent subtokens’ embeddings.
usedmodel architecturein Laguna XS.2Poolside
Filed alongside
Other methods under data curation :: tokenization.