Interactive demo released for the DLM sampling-fairness paper
Bollegala · x · 2026-10-23
The authors released an interactive demo for the paper "Beyond Model Weights: Sampling-Dependent Fairness in Diffusion Language Models", letting users sweep all 24 sampling configurations (denoising steps, block sizes, remasking strategies) and see how bias scores shift with each setting.
Related event: Diffusion LLM Bias Varies with Sampling Configuration, Study Finds(2 posts)→
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