On the Quantization Robustness of Diffusion Language Models in Coding Benchmarks
arXiv:2604.20079v1 Announce Type: new
Abstract: Auto-regressive Large Language Models (LLMs) achieve strong performance on coding tasks, but incur high memory and inference costs. Diffusion-based language models (d-LLMs) offer bounded inference cost v…