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arXiv9h ago
5.3

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models

Chris Cameron, Wangzheng Wang, Nikita Ivanov, Ashmita Bhattacharyya, Didier Ch\'etelat, Yingxue Zhang

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty8/10
Categorypaper
Topics
reasoningtransformersinference

Opportunity Brief

Develop a lightweight library that demonstrates denoising recursion for small transformer models. This could enable efficient iterative refinement paths for LLMs without adding extra parameters.

Suggested repo: nanoLoop

"Scale reasoning depth without adding a single parameter."

Estimated effort: 40h