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20232026
most citedNaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation

2 citations · 3 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

TerraVis: Towards Evaluation of World-Grounded Visual Consistency in Text-to-Image Generation via MLLM Workflows

Shuai Fu, Jing Gu, Jian Zhou +3

Recent text-to-image models have made substantial progress in photorealism, aesthetics, and text-image alignment. Yet visually appealing images can still violate real-world plausib…

cs.RO2026

Embodied Agents Take Control: Minimal-Interface Zero-Shot Agents Rival Industrial-Scale Policies in Vision-and-Language Navigation

Jian Zhou, Xunyi Zhao, Gengze Zhou +4

Autonomous embodied agents must sustain a long decision-making loop of perceiving, acting, verifying, and self-correcting. In trained end-to-end policies and hand-designed workflow…

cs.RO2026

Automating the Design of Embodied Agent Architectures

Jian Zhou, Sihao Lin, Jin Li +3

Embodied agents are typically built as hand-designed compositions of perception, memory, planning, and action modules. This modularity exposes a large architectural design space, b…

cs.RO2026

One Agent to Guide Them All: Empowering MLLMs for Vision-and-Language Navigation via Explicit World Representation

Zerui Li, Hongpei Zheng, Fangguo Zhao +5

A navigable agent needs to understand both high-level semantic instructions and precise spatial perceptions. Building navigation agents centered on Multimodal Large Language Models…

cs.CV2026

VLN-MME: Diagnosing MLLMs as Language-guided Visual Navigation agents

Xunyi Zhao, Gengze Zhou, Qi Wu

Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities across a wide range of vision-language tasks. However, their performance as embodied agents, whic…