2 papers
cs.CL2026
The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models
Bohang Sun, Max Zhu, Francesco Caso +5
Diffusion large language models promise faster generation by refining many token positions in parallel, but this parallelism introduces a hidden control problem: which proposed tok…
q-bio.BM2025
Challenges and Guidelines in Deep Generative Protein Design: Four Case Studies
Tianyuan Zheng, Alessandro Rondina, Gos Micklem +1
Deep generative models show promise for protein design, yet reliably producing designs that are geometrically plausible, evolutionarily consistent, functionally…