Attention-Based Sampler for Diffusion Language Models

Implement a parallel decoder for diffusion-based language models that improves inference speed compared to autoregressive baselines. The current gap is a lack of high-performance implementations for non-autoregressive language generation.

Suggested repo: diff-speak

"Unlock parallel decoding for text generation."

Estimated effort: 80h