88%Must read
?Must readVote to see the score
Characterizing Memorization in Diffusion Language Models: Generalized Extraction and Sampling Effects
A generalized extraction framework proves diffusion language model memorization rises with sampling resolution, and they leak less personally identifiable information than autoregressive models.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
– ReadersNo votes yet
15/20 AI panelreviewers recommend it
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5