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Yizhu Jiao

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#machine learning Preprint Oct 2026

Decoding Looped Transformers Better for (Almost) Free

Looped Transformers achieve parameter efficiency by repeatedly executing a shared block across recurrent loops. Each loop yields an intermediate representation decodable for the same next token, yet standard decoding discards earlier states. Because earlier loops embody less computation, recurrence inherently supplies...

Weihao Liu, Huangjie Zheng, Tian-Rong Chen et al. · 0 citations
Jul 2026

Filesystem-Based Memory for LLM Agents: Organization, Evolution, and Sustainability

The study turns the filesystem default from an assumption into a design space for agent memory, and turns the model is not the only lever over a store's shape: changing the tool set alone reshapes the store as strongly as swapping the model.

Sizhe Zhou, Sheldon Yu, Hui Wei et al. · 0 citations

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