3 papers
cs.LG2026
Drift Flow Matching
Chenrui Ma, Xi Xiao, Lin Zhao +3
Iterative generative models such as Flow Matching and Diffusion models have demonstrated strong test-time scaling behavior, where additional inference computation can improve gener…
cs.CL2026
Constrained Code Generation with Discrete Diffusion
Lize Shao, Michael Cardei, Zichen Xie +2
Discrete diffusion models are a powerful, emerging paradigm for code generation. They construct programs through iterative refinement of partially corrupted token sequences and ena…
cond-mat.mtrl-sci2026
Constrained Diffusion for Accelerated Structure Relaxation of Inorganic Solids with Point Defects
Jingyi Cui, Jacob K. Christopher, Ankita Biswas +2
Point defects affect material properties by altering electronic states and modifying local bonding environments. However, high-throughput first-principles simulations of point defe…