Locally Coherent Parallel Decoding in Diffusion Language Models

In three linesCoDiLA combines diffusion with local autoregressive decoding for parallel code generation. A compact auxiliary AR model (0.6B parameters) ensures fine-grained syntactic coherence while the diffusion model handles bidirectional block-level generation. Eliminates coherence artifacts on code generation benchmarks.

Summary generated by Claude — human-verified