Vision-language-action (VLA) models are a promising approach to general purpose robot manipulation. While the internal computation of vision-language models, which compose the backbone of VLAs, has been studied extensively, less is known about how their perceptual and semantic representations are transformed into actio...
Aiden Swann, Mathilde Papillon, Mozes Jacobs et al.· 0 citations
Overall, this work lays out an initial phenomenology of realized geometry in VLA policies and demonstrates that a concept's shape carries as much importance as its readability.
Mozes Jacobs, Aiden Swann, Mathilde Papillon et al.· 0 citations
This work finds that simple difference of means vectors coherently represent reward hacking in Kimi K3, GLM 5.2, and Qwen 3.8 Max, and provides evidence that simple, white-box methods can be used to scalably study and monitor reward hacking behaviors in frontier open source models.
Leon Bergen, Usha Bhalla, Andrew Lee et al.· 3 citations
It is shown that when resampling many reasoning chains, uncertainty dynamics converge to stable patterns, and noise is largely an artifact of sampling rather than an LLM's sensitivity to each individual token or reasoning step.
Eric J. Bigelow, Amir Zur, Satchel Grant et al.· 2 citations
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