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pro vyhledávání: '"Yu, Keunwoo Peter"'
Most of the current vision-language models (VLMs) for videos struggle to understand videos longer than a few seconds. This is primarily due to the fact that they do not scale to utilizing a large number of frames. In order to address this limitation,
Externí odkaz:
http://arxiv.org/abs/2412.04729
A major reason behind the recent success of large language models (LLMs) is their \textit{in-context learning} capability, which makes it possible to rapidly adapt them to downstream text-based tasks by prompting them with a small number of relevant
Externí odkaz:
http://arxiv.org/abs/2311.17041
Autor:
Yu, Keunwoo Peter
In natural language processing, interactive text-based games serve as a test bed for interactive AI systems. Prior work has proposed to play text-based games by acting based on discrete knowledge graphs constructed by the Discrete Graph Updater (DGU)
Externí odkaz:
http://arxiv.org/abs/2311.01928
Autor:
Bao, Yuwei, Yu, Keunwoo Peter, Zhang, Yichi, Storks, Shane, Bar-Yossef, Itamar, De La Iglesia, Alexander, Su, Megan, Zheng, Xiao Lin, Chai, Joyce
Despite tremendous advances in AI, it remains a significant challenge to develop interactive task guidance systems that can offer situated, personalized guidance and assist humans in various tasks. These systems need to have a sophisticated understan
Externí odkaz:
http://arxiv.org/abs/2311.00738
As natural language processing (NLP) has recently seen an unprecedented level of excitement, and more people are eager to enter the field, it is unclear whether current research reproducibility efforts are sufficient for this group of beginners to ap
Externí odkaz:
http://arxiv.org/abs/2305.16579
Autor:
Zhang, Yichi, Yang, Jianing, Pan, Jiayi, Storks, Shane, Devraj, Nikhil, Ma, Ziqiao, Yu, Keunwoo Peter, Bao, Yuwei, Chai, Joyce
Recent years have seen an increasing amount of work on embodied AI agents that can perform tasks by following human language instructions. However, most of these agents are reactive, meaning that they simply learn and imitate behaviors encountered in
Externí odkaz:
http://arxiv.org/abs/2210.12485
As NLP research attracts public attention and excitement, it becomes increasingly important for it to be accessible to a broad audience. As the research community works to democratize NLP, it remains unclear whether beginners to the field can easily
Externí odkaz:
http://arxiv.org/abs/2205.02182
Autor:
Yu, Keunwoo Peter, Yang, Yi
Named entity recognition (NER) is a fundamental component in the modern language understanding pipeline. Public NER resources such as annotated data and model services are available in many domains. However, given a particular downstream application,
Externí odkaz:
http://arxiv.org/abs/2004.05140