Zobrazeno 1 - 10
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pro vyhledávání: '"Lyu, Shiwei"'
Autor:
Zhu, Yuqi, Qiao, Shuofei, Ou, Yixin, Deng, Shumin, Zhang, Ningyu, Lyu, Shiwei, Shen, Yue, Liang, Lei, Gu, Jinjie, Chen, Huajun
Large Language Models (LLMs) have demonstrated great potential in complex reasoning tasks, yet they fall short when tackling more sophisticated challenges, especially when interacting with environments through generating executable actions. This inad
Externí odkaz:
http://arxiv.org/abs/2403.03101
Autor:
Lyu, Shiwei, Chi, Chenfei, Cai, Hongbo, Shi, Lei, Yang, Xiaoyan, Liu, Lei, Chen, Xiang, Zhao, Deng, Zhang, Zhiqiang, Lyu, Xianguo, Zhang, Ming, Li, Fangzhou, Ma, Xiaowei, Shen, Yue, Gu, Jinjie, Xue, Wei, Huang, Yiran
We introduce RJUA-QA, a novel medical dataset for question answering (QA) and reasoning with clinical evidence, contributing to bridge the gap between general large language models (LLMs) and medical-specific LLM applications. RJUA-QA is derived from
Externí odkaz:
http://arxiv.org/abs/2312.09785
Publikováno v:
Proceedings of the 31st ACM International Conference on Information and Knowledge Management (2022) 4727-4731
Uplift modeling is widely used in performance marketing to estimate effects of promotion campaigns (e.g., increase of customer retention rate). Since it is impossible to observe outcomes of a recipient in treatment (e.g., receiving a certain promotio
Externí odkaz:
http://arxiv.org/abs/2312.09639
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 6, Pp 58-64 (2023)
Addressing the challenges that unmanned underwater vehicles (UUVs) face in path planning, including complex constraints, unstable optimization algorithm performance, and unsmooth paths, this paper proposes a path planning method using an improved par
Externí odkaz:
https://doaj.org/article/289ffc10a0414814a14ee461621defb4
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 6, Pp 45-50 (2023)
Owing to the inherent complexities of underwater environments, coupled with restrictive observational angles, the precise operation of an underwater manipulator during autonomous tasks is a sizable undertaking. To tackle this issue, this paper propos
Externí odkaz:
https://doaj.org/article/af372c9049064fe086a35ddb775590ce
Autor:
Lyu, Shiwei, Ling, Shuai, Guo, Kaihao, Zhang, Haipeng, Zhang, Kunpeng, Hong, Suting, Ke, Qing, Gu, Jinjie
Predicting the start-ups that will eventually succeed is essentially important for the venture capital business and worldwide policy makers, especially at an early stage such that rewards can possibly be exponential. Though various empirical studies
Externí odkaz:
http://arxiv.org/abs/2105.11537
Publikováno v:
Nonferrous Metals Engineering; Jun2023, Vol. 13 Issue 6, p105-114, 10p
Publikováno v:
Nonferrous Metals Engineering; Jan2023, Vol. 13 Issue 1, p127-135, 9p
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Akademický článek
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