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VLNVerse: A Benchmark for Vision-Language Navigation with Versatile, Embodied, Realistic Simulation and Evaluation
Sihao Lin, Zerui Li, Xunyi Zhao +10
Despite remarkable progress in Vision-Language Navigation (VLN), existing benchmarks remain confined to fixed, small-scale datasets with naive physical simulation. These shortcomin…
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…
Freeze, Share, Shrink: Rethinking the Action Backbone in Diffusion Policies
Jian Zhou, Sihao Lin, Shuai Fu +3
Many recent Vision-Language-Action models employ diffusion or flow-matching backbones with hundreds of millions of parameters for action generation. However, unlike image synthesis…
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…
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…
Ground-level Viewpoint Vision-and-Language Navigation in Continuous Environments
Zerui Li, Gengze Zhou, Haodong Hong +4
Vision-and-Language Navigation (VLN) empowers agents to associate time-sequenced visual observations with corresponding instructions to make sequential decisions. However, generali…