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ALoDLM: Adaptively Looped Diffusion Language Models research paper by Amazon, 2026
Amazon · Architectures · Oct 3, 2026 · 1 citations · 80 upvotes · unverified
What it shows
ALoDLM improves diffusion language models by using token-adaptive latent recurrence to allocate more computation to difficult tokens.
By Liancheng Fang, Zhuowei Li, Youngeun Kim and 10 more · arXiv 2610.04198 · PDF · Code
UnverifiedSummarised by a model from the abstract; not yet checked by hand.
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About this paper
- Citations
- 1, 0 influential · Semantic Scholar
- Upvotes
- 80 · Hugging Face
- Lab
- Amazon · on Companies · on Quarterly · on Paydays
Changes
A first count of 0 influential citations.
A first count of 1 citations.
ALoDLM improves diffusion language models by using token-adaptive latent recurrence to allocate more computation to difficult tokens.
Moved from Training and scaling to Architectures.
Hugging Face upvotes rose from 79 to 80.
Found by the weekly Hugging Face scan; not yet checked by hand.