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AVERT-VLN: Abstention-aware Visual Error Recovery and Training for Vision-and-Language Navigation
Deploying vision-and-language navigation (VLN) agents in unseen environments remains challenging because unfamiliar layouts and visual conditions can cause execution to go off track. Rather than relying on continuous human supervision, a practical strategy is to selectively request corrective guidan
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