Zobrazeno 1 - 4
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pro vyhledávání: '"Gou, Boyu"'
Autor:
Yu, Botao, Baker, Frazier N., Chen, Ziru, Herb, Garrett, Gou, Boyu, Adu-Ampratwum, Daniel, Ning, Xia, Sun, Huan
To enhance large language models (LLMs) for chemistry problem solving, several LLM-based agents augmented with tools have been proposed, such as ChemCrow and Coscientist. However, their evaluations are narrow in scope, leaving a large gap in understa
Externí odkaz:
http://arxiv.org/abs/2411.07228
Autor:
Gu, Yu, Zheng, Boyuan, Gou, Boyu, Zhang, Kai, Chang, Cheng, Srivastava, Sanjari, Xie, Yanan, Qi, Peng, Sun, Huan, Su, Yu
Language agents have demonstrated promising capabilities in automating web-based tasks, though their current reactive approaches still underperform largely compared to humans. While incorporating advanced planning algorithms, particularly tree search
Externí odkaz:
http://arxiv.org/abs/2411.06559
Autor:
Gou, Boyu, Wang, Ruohan, Zheng, Boyuan, Xie, Yanan, Chang, Cheng, Shu, Yiheng, Sun, Huan, Su, Yu
Multimodal large language models (MLLMs) are transforming the capabilities of graphical user interface (GUI) agents, facilitating their transition from controlled simulations to complex, real-world applications across various platforms. However, the
Externí odkaz:
http://arxiv.org/abs/2410.05243
The recent development on large multimodal models (LMMs), especially GPT-4V(ision) and Gemini, has been quickly expanding the capability boundaries of multimodal models beyond traditional tasks like image captioning and visual question answering. In
Externí odkaz:
http://arxiv.org/abs/2401.01614