arXiv: cs.AI preprintsInternational6 November 2026
Continued Training of Continuous Language Flows with Token Identity Squared Supervision
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arXiv:2611.07721v1 Announce Type: cross Abstract: Diffusion and flow models have recently been extended to language modeling, generating text through continuous denoising in token embedding spaces. Pretrained models provide token representations and contextual prediction capabilities, but improving generation with limited additional training requires an appropriate connection between supervision and continuous generation. Continuous MSE evaluates a predicted vector obtained by weighting token embeddings with predicted probabilities; different probability distributions can yield the same vector
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