Good Papers

Showing papers from Columbia University, Google Show all papers

76%Highly rated
?Highly ratedVote to see the score

Discrete Diffusion Models Exploit Asymmetry to Solve Lookahead Planning Tasks

Discrete diffusion models exploit reverse generation asymmetry to solve lookahead planning with exponentially less data and shallower architectures than autoregressive models.

Itamar Trainin, Shauli Ravfogel, Omri Abend, Amir Feder

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
10/20 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: 10 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 1/5