Flow Map Language Models: One-step Language Modeling via Continuous Denoising

1. 1Replace discrete diffusion with continuous flows over one-hot token embeddings
2. 2Implement continuous denoising to improve sample quality
3. 3Evaluate the performance of the proposed model in the few-step regime
4. 4Compare the results with existing autoregressive models

ML researchers and engineers on a team can benefit from this research as it provides a new approach to language modeling, and software engineers can implement the proposed model in their applications

💡 Continuous flows over one-hot token embeddings can outperform discrete diffusion in language modeling

💡 Flow Map Language Models: faster generation via continuous denoising