2 papers
cs.LG2026
Learned End-to-End Guidance Schedules for Diffusion Models
Aneesh Barthakur, Mathias Niepert, Luiz F. O. Chamon
Diffusion models are a powerful generative paradigm used across multimedia and scientific applications. Guided diffusion methods impose requirements on the generation by adding the…
cs.CL2026
Supportive Token Revealing for Fast Diffusion Language Model Decoding
Giries Abu Ayoub, Mario Barbara, Lluís Pastor-Pérez +4
Discrete diffusion language models can generate text efficiently by updating multiple masked positions in parallel, but this parallelism introduces a quality-latency trade-off. Agg…