SOL: a sample-based distributional metric proposed for evaluating text diffusion LMs
NandoDF · x · 2026-10-09
Evaluating text diffusion language models is notoriously hard, and existing metrics each have notable flaws. Researchers propose SOL, a sample-based distance that directly measures the gap between generated and real text distributions.
The authors detail the method in a thread, and DeepMind's jdeschena — who amplified the work — highlights that the ablation studies are particularly interesting. It offers a distributional evaluation path for the emerging diffusion LM direction.
Related event: SOL: A Sample-Based Metric for Evaluating Diffusion Language Models(2 posts)→
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