10 citations · 11 across the 8 of their papers we have counts for
6 papers · 1 filter
How Far Can GPT-6-Astra Go? Evaluating Capabilities in Zero-Shot Vision-and-Language Navigation
Guangzhao Dai, Qi Wu, Bin Zhu
We study GPT-6-Astra in a zero-shot Vision-and-Language Navigation in Continuous Environments (VLN-CE) system, where it interprets instructions, assesses its surroundings, and prop…
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…
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…
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…
Open-Nav: Exploring Zero-Shot Vision-and-Language Navigation in Continuous Environment with Open-Source LLMs
Yanyuan Qiao, Wenqi Lyu, Hui Wang +5
Vision-and-Language Navigation (VLN) tasks require an agent to follow textual instructions to navigate through 3D environments. Traditional approaches use supervised learning metho…