Token Time Continuous Diffusion for Language Modeling introduces a diffusion language model that maps Gaussian noise to a token canvas in continuous space with per-token time steps.
Read the original at arxiv.org→arXiv:2607.14106v1 Announce Type: new Abstract: In this paper we introduce token time continuous diffusion (TTCD), a new diffusion language model which (a) operates in continuous space, deterministically mapping...
Original headline: "Token Time Continuous Diffusion for Language Modeling"
Coverage timeline
- Jul 17, 04:00 UTC arXiv cs.CL lead source Token Time Continuous Diffusion for Language Modeling
- Jul 17, 04:00 UTC arXiv cs.CL Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs