AI RESEARCH
Generative Frontiers: Why Evaluation Matters for Diffusion Language Models
arXiv CS.LG
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ArXi:2604.02718v1 Announce Type: new Diffusion language models have seen exciting recent progress, offering far flexibility in generative trajectories than autoregressive models. This flexibility has motivated a growing body of research into new approaches to diffusion language modeling, which typically begins at the scale of GPT-2 small (150M parameters). However, these advances