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pro vyhledávání: '"Zhou, Gengze"'
Capitalizing on the remarkable advancements in Large Language Models (LLMs), there is a burgeoning initiative to harness LLMs for instruction following robotic navigation. Such a trend underscores the potential of LLMs to generalize navigational reas
Externí odkaz:
http://arxiv.org/abs/2407.12366
Autor:
Zhang, Jiazhao, Wang, Kunyu, Xu, Rongtao, Zhou, Gengze, Hong, Yicong, Fang, Xiaomeng, Wu, Qi, Zhang, Zhizheng, Wang, He
Vision-and-language navigation (VLN) stands as a key research problem of Embodied AI, aiming at enabling agents to navigate in unseen environments following linguistic instructions. In this field, generalization is a long-standing challenge, either t
Externí odkaz:
http://arxiv.org/abs/2402.15852
Vision-and-Language Navigation (VLN) task aims to enable AI agents to accurately understand and follow natural language instructions to navigate through real-world environments, ultimately reaching specific target locations. We recognise a promising
Externí odkaz:
http://arxiv.org/abs/2312.15820
Trained with an unprecedented scale of data, large language models (LLMs) like ChatGPT and GPT-4 exhibit the emergence of significant reasoning abilities from model scaling. Such a trend underscored the potential of training LLMs with unlimited langu
Externí odkaz:
http://arxiv.org/abs/2305.16986