Author

Ruiming Zhu

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Preprint Aug 2026

Learning What to Remember: Test-Time Training via Context Distillation

This work proposes TTCD, a TTT framework that introduces a self-supervised objective for allocating limited memory capacity for future use, and focuses on an in-place variant: In-Place TTCD, which uses the existing MLP parameters as the fast weights.

Zi-Xuan Wang, Xingyu Dang, Ruiming Zhu et al. · 0 citations

Preprint Aug 2026

Allocating Recurrent Compute in Looped Language Models

Results show that the benefits of recurrent depth can be retained without repeatedly executing the dense FFN, and view recurrence as repeated composition of a state update and argue that an application is valuable when it exposes a new cross-position influence direction that remains observable at the task readout.

Ruhai Lin, Yi-Yang Guo, Ruiming Zhu et al. · 4 citations