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Beyond Appearance Shifts: Task-Semantic Action Calibration for VLA Models
BAS-VLA calibrates frozen VLA actions via breaking-centered calibration and selective preservation gating to suppress stale-task drift and separate semantics. It achieves 98% clean success, 0% under target swaps, and 70% under style shifts versus 42%.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 0/5