Author

Tal Haklay

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Preprint Oct 2026

Causal Analysis of Robot Foundation Models Enables Efficiency Gains

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

Preprint Aug 2026

Forking Fast: Efficiently Estimating Uncertainty Dynamics in Text Generation

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