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Paper · arXiv

The Linear Representation Hypothesis for Vision-Language-Action Models

The linear representation hypothesis (LRH) has become a standard lens for measuring and intervening on semantic information through the internal representations of large language models (LLMs). A growing body of work has begun extending this perspective to vision-language-action (VLA) models, but the dynamical nature of embodied interaction introduces an additional challenge. Unlike semantic attributes commonly studied in LLMs, such as gender or language, a physical quantity of interest (QoI) in a VLA evolves jointly with the system dynamics: the representation influences the actions selected by the policy, which alter the physical state and, in turn, the next representation. In this pape...

AuthorsMinseok Jeong, Hyewon Choi, Hiroyasu Tsukamoto et al.
Primary categorycs.LG
Published25 September 2026
Last updated at source4 October 2026
cs.LGcs.AI
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