2 papers
cs.LG2026
dUltra: Ultra-Fast Diffusion Language Models via Reinforcement Learning
Shirui Chen, Jiantao Jiao, Lillian J. Ratliff +1
Masked diffusion language models (MDLMs) offer the potential for parallel token generation, but most open-source MDLMs decode fewer than 5 tokens per model forward pass even with s…
cs.LG2025
S4S: Solving for a Diffusion Model Solver
Eric Frankel, Sitan Chen, Jerry Li +3
Diffusion models (DMs) create samples from a data distribution by starting from random noise and iteratively solving a reverse-time ordinary differential equation (ODE). Because ea…