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arXiv AI By Minrui Liu, Jingke Wang, Yuehao Huang, Hao Su, Jiajun Lv, Yukai Ma, Yong Liu

AVERT-VLN: Abstention-aware Visual Error Recovery and Training for Vision-and-Language Navigation

Read the original on arXiv AI →

AVERT-VLN introduces a closed‑loop framework for vision‑and‑language navigation that incorporates an abstention‑aware Monitor to detect instruction‑execution inconsistencies. The Monitor is trained on a new LOSTNAV dataset of 20K counterfactual risk trajectories and fine‑tuned on 40K normal trajectories to recognize semantic deviations. During deployment, the Monitor can suspend autonomous navigation and request human guidance, while offline preference learning uses deviation‑associated failures to improve the policy, achieving 76.2% and 66.3% success on R2R‑CE and RxR‑CE unseen splits.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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