8 papers
From Region Arrival to Instance-Level Grounding in Vision-and-Language Navigation
Xiangyu Shi, Ruoxi Yang, Wei Tao +3
Vision-and-Language Navigation (VLN) agents may satisfy conventional success criteria while still failing to establish reliable object-level grounding, because current evaluation p…
Ask When It Pays: Cost-Aware Open-Ended Interaction for Instance Goal Navigation
Xunyi Zhao, Sihao Lin, Gengze Zhou +5
Instance Goal Navigation (IGN) requires an embodied agent to find a specific object instance among distractors from an under-specified natural-language description. Such ambiguity…
Fast-SmartWay: Panoramic-Free End-to-End Zero-Shot Vision-and-Language Navigation
Xiangyu Shi, Zerui Li, Yanyuan Qiao +1
Recent advances in Vision-and-Language Navigation in Continuous Environments (VLN-CE) have leveraged multimodal large language models (MLLMs) to achieve zero-shot navigation. Howev…
SmartWay: Enhanced Waypoint Prediction and Backtracking for Zero-Shot Vision-and-Language Navigation
Xiangyu Shi, Zerui Li, Wenqi Lyu +4
Vision-and-Language Navigation (VLN) in continuous environments requires agents to interpret natural language instructions while navigating unconstrained 3D spaces. Existing VLN-CE…
NavBench: Probing Multimodal Large Language Models for Embodied Navigation
Yanyuan Qiao, Haodong Hong, Wenqi Lyu +5
Multimodal Large Language Models (MLLMs) have demonstrated strong generalization in vision-language tasks, yet their ability to understand and act within embodied environments rema…
BadNAVer: Exploring Jailbreak Attacks On Vision-and-Language Navigation
Wenqi Lyu, Zerui Li, Yanyuan Qiao +1
Multimodal large language models (MLLMs) have recently gained attention for their generalization and reasoning capabilities in Vision-and-Language Navigation (VLN) tasks, leading t…