When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs
Overview
This research addresses counterfactual failures in Vision-Language-Action models (VLAs), where models rely on vision shortcuts instead of following language instructions. The authors introduce LIBERO-CF, a benchmark for evaluating these failures, and propose Counterfactual Action Guidance (CAG), a training-free method that improves language grounding and task success across diverse VLAs without modifying base architectures.
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- arXiv Robotics — research abstractsSignalWhen Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs
This research addresses counterfactual failures in Vision-Language-Action models (VLAs), where models rely on vision shortcuts instead of following language instructions. The authors introduce LIBERO-CF, a benchmark for evaluating these failures, and propose Counterfactual Action Guidance (CAG), a training-free method that improves language grounding and task success across diverse VLAs without modifying base architectures.
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