arxiv
PublishedJune 1, 2026 at 4:00 AM
—neutral
BOKBO (Best of K Bad Options): Calibrated Abstention for VLA Policies
Publisher summary· verbatim
arXiv:2605.30660v1 Announce Type: new Abstract: Test-time scaling for vision-language-action (VLA) policies, methods such as RoboMonkey, SEAL, MG-Select, and V-GPS, samples K candidate action chunks at inference and executes the verifier-best. When all K candidates are unsafe, the system executes a
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning4harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning4harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models4harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents4hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗