Zobrazeno 1 - 10
of 19
pro vyhledávání: '"He, Jianshan"'
Autor:
Xue, Siqiao, Qi, Danrui, Jiang, Caigao, Shi, Wenhui, Cheng, Fangyin, Chen, Keting, Yang, Hongjun, Zhang, Zhiping, He, Jianshan, Zhang, Hongyang, Wei, Ganglin, Zhao, Wang, Zhou, Fan, Yi, Hong, Liu, Shaodong, Chen, Faqiang
The recent breakthroughs in large language models (LLMs) are positioned to transition many areas of software. The technologies of interacting with data particularly have an important entanglement with LLMs as efficient and intuitive data interactions
Externí odkaz:
http://arxiv.org/abs/2404.10209
Autor:
Xue, Siqiao, Jiang, Caigao, Shi, Wenhui, Cheng, Fangyin, Chen, Keting, Yang, Hongjun, Zhang, Zhiping, He, Jianshan, Zhang, Hongyang, Wei, Ganglin, Zhao, Wang, Zhou, Fan, Qi, Danrui, Yi, Hong, Liu, Shaodong, Chen, Faqiang
The recent breakthroughs in large language models (LLMs) are positioned to transition many areas of software. Database technologies particularly have an important entanglement with LLMs as efficient and intuitive database interactions are paramount.
Externí odkaz:
http://arxiv.org/abs/2312.17449
Autor:
Xu, Weidi, Wang, Jingwei, Xie, Lele, He, Jianshan, Zhou, Hongting, Wang, Taifeng, Wan, Xiaopei, Chen, Jingdong, Qu, Chao, Chu, Wei
Integrating first-order logic constraints (FOLCs) with neural networks is a crucial but challenging problem since it involves modeling intricate correlations to satisfy the constraints. This paper proposes a novel neural layer, LogicMP, whose layers
Externí odkaz:
http://arxiv.org/abs/2309.15458
Autor:
Xue, Siqiao, Zhou, Fan, Xu, Yi, Jin, Ming, Wen, Qingsong, Hao, Hongyan, Dai, Qingyang, Jiang, Caigao, Zhao, Hongyu, Xie, Shuo, He, Jianshan, Zhang, James, Mei, Hongyuan
We present WeaverBird, an intelligent dialogue system designed specifically for the finance domain. Our system harnesses a large language model of GPT architecture that has been tuned using extensive corpora of finance-related text. As a result, our
Externí odkaz:
http://arxiv.org/abs/2308.05361
Graph convolutional networks (GCNs) have been proved to be very practical to handle various graph-related tasks. It has attracted considerable research interest to study deep GCNs, due to their potential superior performance compared with shallow one
Externí odkaz:
http://arxiv.org/abs/2302.05083
Distance based knowledge graph embedding methods show promising results on link prediction task, on which two topics have been widely studied: one is the ability to handle complex relations, such as N-to-1, 1-to-N and N-to-N, the other is to encode v
Externí odkaz:
http://arxiv.org/abs/2011.03798
Publikováno v:
In Ceramics International 1 September 2023 49(17) Part A:28457-28464
Autor:
Li, Chenchen, Yan, Xiang, Deng, Xiaotie, Qi, Yuan, Chu, Wei, Song, Le, Qiao, Junlong, He, Jianshan, Xiong, Junwu
Uplift modeling aims to directly model the incremental impact of a treatment on an individual response. In this work, we address the problem from a new angle and reformulate it as a Markov Decision Process (MDP). We conducted extensive experiments on
Externí odkaz:
http://arxiv.org/abs/1811.10158
Autor:
Li, Chenchen, Yan, Xiang, Deng, Xiaotie, Qi, Yuan, Chu, Wei, Song, Le, Qiao, Junlong, He, Jianshan, Xiong, Junwu
Internet market makers are always facing intense competitive environment, where personalized price reductions or discounted coupons are provided for attracting more customers. Participants in such a price war scenario have to invest a lot to catch up
Externí odkaz:
http://arxiv.org/abs/1808.07621
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