Paul Jünger

Self-Augmenting Retrieval for Diffusion Language Models

Diffusion language models offer fast, parallel decoding via non-autoregressive generation and uncertainty-aware denoising, yet these properties remain underexplored for retrieval. We propose *Self-Augmenting Retrieval for Diffusion Language Models*, a dynamic framework that uses intermediate diffusi…