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cs.AI2026
Do LLMs Understand Sequential Structure? A Controlled Study of Inference and Generation
Jerry Wang, Zhengxiang Wang, Ting Yu Liu +3
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…
cs.AI2026
HyperGuide: Hyperbolic Guidance for Efficient Multi-Step Reasoning in Large Language Models
Yuyu Liu, Haotian Xu, Yanan He +3
Searching over alternative continuations lets large language models (LLMs) compare the downstream consequences of a reasoning step before committing to it, but expanding and evalua…