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CalVLA: Shaping Native Confidence in Vision-Language-Action Policies with Outcome Supervision

This story is from 2026-11-04. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2611.00394v1 Announce Type: new Abstract: Can a vision-language-action (VLA) policy signal likely task failure from its own action probabilities? We introduce CalVLA, which shapes native action-token confidence using successful and failed rollouts and an Action-Confidence Alignment (ACal) squ…

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  1. 2026-11-04 05:00 · arXiv cs.AI
    CalVLA: Shaping Native Confidence in Vision-Language-Action Policies with Outcome Supervision

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