Paper: Learning the Order of Thought in Diffusion Language Models
furongh · x · 2026-07-06
Released the paper "Scheduling Thoughts: Learning the Order of Thought in Diffusion Language Models," along with links to the paper, project page, and code. The authors suggest that the next frontier for diffusion language models may not just be learning the answer, but learning the order in which the answer should emerge. The paper is co-authored by Jimmy Xu, Minghao Liu, Aakriti, and others.
Related event: ICML 2026 Paper SAS: Optimizing Thought Scheduling in Diffusion LMs(15 posts)→
More from Research
- 3D ResNet Paper Crosses 3,000 Citations Eight Years After CVPR 2018 — HirokatuKataoka · 2026-09-11
- Sample selection and ordering matter a lot in LLM training: DataFlex makes data scheduling dynamic — Puzzleheaded_Box2842 · 2026-09-11
- Jeff Heaton's Intro to the Math of Neural Networks eBook Is Free to Download — blaizedsouza · 2026-09-11
- Mathematician Daniel Litt Launches Problem Repo to Track Human vs AI Progress: 15 Problems, 1 Solved — littmath · 2026-09-11
- Open ECDSA.fail challenge uses AI agents to shrink Shor's-algorithm quantum circuits for Bitcoin keys — StefanoGogioso · 2026-09-11
- Alex Townsend posts 200 open problems in numerical linear algebra for humans and AI agents — IgorCarron · 2026-09-11