VLA models from VLM adaptation can be pruned 12-30% via multi-module joint scheme based on divergence signals while keeping ~90% performance on LIBERO without post-pruning recovery, unlike standard criteria that collapse.
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A search-and-distill framework with conformalized improvement head produces a language feedback policy that boosts frozen VLA performance by 24.7% in simulation and 65% on hardware while guaranteeing harmlessness on perturbations.
VLA-Trace diagnoses two VLA models via representation CKA, attention interventions, and behavioral tests, finding distinct finetuning dynamics, different routing, and strong visual grounding but weak fine-grained semantic following.
citing papers explorer
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Revisiting Parameter Redundancy in Vision-Language-Action Models: Insights from VLM-to-VLA Adaptation
VLA models from VLM adaptation can be pruned 12-30% via multi-module joint scheme based on divergence signals while keeping ~90% performance on LIBERO without post-pruning recovery, unlike standard criteria that collapse.
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Learning What to Say to Your VLA: Mostly Harmless Vision Language Action Model Steering
A search-and-distill framework with conformalized improvement head produces a language feedback policy that boosts frozen VLA performance by 24.7% in simulation and 65% on hardware while guaranteeing harmlessness on perturbations.
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VLA-Trace: Diagnosing Vision-Language-Action Models through Representation and Behavior Tracing
VLA-Trace diagnoses two VLA models via representation CKA, attention interventions, and behavioral tests, finding distinct finetuning dynamics, different routing, and strong visual grounding but weak fine-grained semantic following.