Dust: Pretraining Transformers Without Backpropagation
Dust perturbs activations (node perturbation) independently at every token, so each token is a virtual population member and one forward pass evaluates them all in parallel. Dust approximates backprop closely at large population (i.e. substantially more compute) and in multiple settings even exceeds it. This hints that in a compute-rich regime we might be able to surpass backprop.
- ▪Dust perturbs activations (node perturbation) independently at every token, so each token is a virtual population member and one forward pass evaluates them all in parallel.
- ▪Dust approximates backprop closely at large population (i.e. substantially more compute) and in multiple settings even exceeds it.
- ▪This hints that in a compute-rich regime we might be able to surpass backprop.
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| Original publisher | Qlabs |
| Canonical URL | https://qlabs.sh/research/dust |
| Publication time | Mon, 05 Oct 2026 21:15:07 +0000 |
| Retrieval time | 2026-10-05T21:55:43.698Z |
| Last seen | 2026-10-05T21:55:43.698Z |
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| Summary source text | contentText |
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| Cluster | R39rbXDJPHCC · 1 stories |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Dust: Pretraining Transformers Without Backpropagation Samip Dahal, Bishwas Mandal, Serdar Gülbahar, Akshay Vegesna October 2026Correspondence to [email protected]·Code·Cite Copy @misc{dahal2026backprop, title = {Dust: Pretraining Transformers Without Backpropagation}, author = {Dahal, Samip and Mandal, Bishwas and G{\"u}lbahar, Serdar and Vegesna, Akshay}, year = {2026}, url = {https://qlabs.sh/research/dust} } TL;DR We present the first zeroth-order method that is competitive with backprop at pretraining transformer language models. Dust perturbs activations (node perturbation) independently at every token, so each token is a virtual population member and one forward pass evaluates them all in parallel. Dust approximates backprop closely at large population (i.e.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Qlabs.