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TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models
TUBE introduces a variational upper bound with unbiased Monte Carlo estimation to evaluate discrete diffusion model log-likelihoods, revealing that block diffusion and any-order autoregressive models remain below exact autoregressive baselines.
Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026
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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 2/5