arXiv AI
VLA-Trace: Diagnosing Vision-Language-Action Models through Representation and Behavior Tracing
Read the original on arXiv AI →The Flow has not summarised this story yet — read it at arXiv AI.
Related stories
arXiv AI
Jun 2
VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models
arXiv:2601. 03309v2 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) models, which integrate pretrained large Vision-Language Models (VLM) into their policy backbone, are gaining significant attention for their promising generalization capabilities.
arXiv AI
Jul 13
CLAP: Direct VLM-to-VLA Adaptation via Language-Action Grounding
arXiv:2607. 08974v1 Announce Type: cross Abstract: Vision-language-action models (VLAs) inherit semantic capabilities from pretrained VLMs, yet large-scale post-training on robot data and architectural modifications can reshape the backbone so extensively that it becomes difficult to isolate what the VLM contributes to control.
arXiv AI
Jul 7
VISOR++: Universal Visual Inputs based Steering for Large Vision Language Models
arXiv:2509. 25533v2 Announce Type: replace-cross Abstract: As Vision Language Models (VLMs) are deployed across safety-critical applications, understanding and controlling their behavioral patterns has become increasingly important.
arXiv Computer Vision
4d ago
Action- and Language-Conditioned Video Assessment for Embodied Control
arXiv:2608.08273v2 Announce Type: replace-cross Abstract: Vision-based embodied agents executing multi-step natural language instructions require feedback mechanisms that assess task progress over co...
arXiv AI
Aug 6
GUARD: Grounding Uncertainty and Ablation-Based Risk Detection for Diffusion-Based VLAs
arXiv:2608. 04510v1 Announce Type: cross Abstract: Diffusion-based vision-language-action (VLA) policies can generate plausible actions even when their predictions are weakly grounded in the visual and language evidence defining the task.
arXiv AI
Jul 17
Action QFormer: Structured Representation Shaping under Action Supervision in Vision-Language-Action Models
arXiv:2607. 14635v1 Announce Type: new Abstract: Action supervision in vision-language-action (VLA) models is often treated as a downstream objective for learning action prediction.