10 citations · 11 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
MiniVLN: Efficient Vision-and-Language Navigation by Progressive Knowledge Distillation
Junyou Zhu, Yanyuan Qiao, Siqi Zhang +3
In recent years, Embodied Artificial Intelligence (Embodied AI) has advanced rapidly, yet the increasing size of models conflicts with the limited computational capabilities of Emb…
VL-Mamba: Exploring State Space Models for Multimodal Learning
Yanyuan Qiao, Zheng Yu, Longteng Guo +5
Multimodal large language models (MLLMs) have attracted widespread interest and have rich applications. However, the inherent attention mechanism in its Transformer structure requi…