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Incidental Bilingualism in PaLM's Translation Capability

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First page
Incidental Bilingualism in PaLM's Translation Capability
The curator’s take

Explores where PaLM's translation ability actually comes from.

Key points
01

30M+ translation pairs: PaLM is exposed to over 30 million translation pairs across at least 44 languages within its training data, incidentally.

02

Incidental bilingualism: Argues these "accidental" translation pairs substantially explain PaLM's translation capabilities.

03

Scale-of-incidental-data: Highlights how large-scale pretraining can inadvertently cover specialized capabilities via byproducts of web data.

04

Pretraining data insight: An influential study on understanding emergent capabilities via careful data auditing.

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