Author

Jingwen Fu

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#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