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20242026
most citedVL-Mamba: Exploring State Space Models for Multimodal Learning

10 citations · 11 across the 8 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.RO2025

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…

cs.CV2025

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…

cs.RO2025★ 1 cited

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…

cs.CV2025

COSMO: Combination of Selective Memorization for Low-cost Vision-and-Language Navigation

Siqi Zhang, Yanyuan Qiao, Qunbo Wang +4

Vision-and-Language Navigation (VLN) tasks have gained prominence within artificial intelligence research due to their potential application in fields like home assistants. Many co…

cs.RO2025

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…