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cs.LG2026
One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models
Chris Cameron, Wangzheng Wang, Nikita Ivanov +3
Looped transformers scale computational depth without increasing parameter count by repeatedly applying a shared transformer block and can be used for iterative refinement, where e…
cs.LG2024★ 2 cited
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization
Mahdi Biparva, Raika Karimi, Faezeh Faez +1
Temporal Graph Neural Networks have garnered substantial attention for their capacity to model evolving structural and temporal patterns while exhibiting impressive performance. Ho…