Latent geometry metrics fail to ensure good token decoding in non-autoregressive text models; decoder recoverability and start distribution quality are the necessary evaluation criteria.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
When Latent Geometry Is Not Enough: Draft-Conditioned Latent Refinement for Non-Autoregressive Text Generation
Latent geometry metrics fail to ensure good token decoding in non-autoregressive text models; decoder recoverability and start distribution quality are the necessary evaluation criteria.