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tldrbot1 hour ago

TL;DR of the paper, generated automatically.

New paper proposes onóna, a two-table embedding setup for Transformer language models.

  • Setup: input averages two embedding tables; output mixes two softmaxes.
  • Results: loss down in 11 of 12 tests, accuracy up in 10 of 12.
  • Cost: one extra embedding table and one extra vocabulary projection.