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Teng-Fei Ma

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#artificial intelligence Preprint Oct 2026

Do LLMs Understand Sequential Structure? A Controlled Study of Inference and Generation

Large language models (LLMs) are increasingly used as interactive agents and simulators, yet it remains unclear whether they can recover latent sequential structure beyond surface action frequencies. This distinction is critical for behavioral simulation, where actions are often shaped by prior context rather than marg...

Jerry Wang, Zhengxiang Wang, Ting-Yu Liu et al. · 0 citations
#machine learning Preprint Oct 2026

Hesitation Has a Geometry: Entropy-Trained Hyperbolic Probes for Sparse Activation Steering

When a large language model solves a mathematical problem, its reasoning is largely hierarchical, and the solution often branches at a few tokens where the next-token entropy is high. Such tree-like structure embeds in hyperbolic space with far lower distortion than in Euclidean space. Activation steering, however, usu...

Ze-Yong Zhang, Tung Sum Thomas Kwok, Teng-Fei Ma et al. · 0 citations

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