Author

Jing-Wen Fu

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Preprint Sep 2026

How Should Reasoning Be Organized in a Transformer's Latent Space?

Experiments with two-layer and GPT-2 Transformers reproduce the predicted width advantage and show that unequal weights fail first on the states that receive the least weight, suggesting a important principle: keep reached states equally weighted, and restore equal weights as computation proceeds.

Hong-Yuan Gu, Chang Liu, Jing-Wen Fu · 0 citations

#artificial intelligence Preprint Sep 2026

How Many Thoughts Can a Vector Hold? The Capacity of Reasoning by Superposition

Large language models solve hard problems through intermediate computations across multi-step reasoning. Traditional chain-of-thought encodes these computations as tokens. Recent continuous and recurrent methods instead move partial computations into fixed-dimensional latent states, where a single thought can superpose...

Hong-Yuan Gu, Chang Liu, Jing-Wen Fu · 0 citations

Preprint Aug 2026

Resource-efficient Semantic Coding Schemes with Manifold-constrained Hyper-connections

The proposed mHC-based semantic encoder applies multiple residual streams and constrains their interaction by doubly stochastic (DS) mixing matrices to improve semantic/task performance, communication robustness, and convergence stability over residual and unconstrained HC baselines, while requiring no additional chann...

Jing-Wen Fu, Ming Xiao · 0 citations