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Tian-Rong Chen

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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
#artificial intelligence Preprint Sep 2026

How to Guide Your Language Flow

A new method to guide flow matching models using the frozen internal states of an existing diffusion model to construct a guidance signal, which eliminates the need for an additional forward pass at inference time and provides a reliable path to ensure that the weak and strong model share similar dynamics.

Rohit Dilip, Tian-Rong Chen, Yu-Yang Wang et al. · 0 citations

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