AI RESEARCH
On the Quantization Robustness of Diffusion Language Models in Coding Benchmarks
arXiv CS.LG
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ArXi:2604.20079v1 Announce Type: new 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 via iterative denoising, but their behavior under post-