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Guang-Fu Ma

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DART-VLN: Test-Time Memory Decay and Anti-Loop Regularization for Discrete Vision-Language Navigation

DART-VLN is presented, a training-free inference-time framework that combines Test-Time Memory Decay, which reweights stale and redundant memory slots without modifying their stored content, with Anti-Loop Regularization, a lightweight next-hop penalty that discourages immediate reversals.

Shaoheng Zhang, Zhi-Cheng Li, Guang-Fu Ma et al. · 0 citations

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