Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Tang, Keke"'
Graph Neural Network (GNN) has achieved remarkable success in various graph learning tasks, such as node classification, link prediction and graph classification. The key to the success of GNN lies in its effective structure information representatio
Externí odkaz:
http://arxiv.org/abs/2405.18824
Since the inception of the Transformer architecture in 2017, Large Language Models (LLMs) such as GPT and BERT have evolved significantly, impacting various industries with their advanced capabilities in language understanding and generation. These m
Externí odkaz:
http://arxiv.org/abs/2404.15777
Graph Neural Network (GNN)-based fake news detectors apply various methods to construct graphs, aiming to learn distinctive news embeddings for classification. Since the construction details are unknown for attackers in a black-box scenario, it is un
Externí odkaz:
http://arxiv.org/abs/2404.15744
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence 2024
Source detection in graphs has demonstrated robust efficacy in the domain of rumor source identification. Although recent solutions have enhanced performance by leveraging deep neural networks, they often require complete user data. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2403.00014
Emerging Large Language Models (LLMs) like GPT-4 have revolutionized Natural Language Processing (NLP), showing potential in traditional tasks such as Named Entity Recognition (NER). Our study explores a three-phase training strategy that harnesses G
Externí odkaz:
http://arxiv.org/abs/2402.09282
Autor:
Tian, Jie, Hou, Jixin, Wu, Zihao, Shu, Peng, Liu, Zhengliang, Xiang, Yujie, Gu, Beikang, Filla, Nicholas, Li, Yiwei, Liu, Ning, Chen, Xianyan, Tang, Keke, Liu, Tianming, Wang, Xianqiao
This study is a pioneering endeavor to investigate the capabilities of Large Language Models (LLMs) in addressing conceptual questions within the domain of mechanical engineering with a focus on mechanics. Our examination involves a manually crafted
Externí odkaz:
http://arxiv.org/abs/2401.12983
With the development of hardware and algorithms, ASR(Automatic Speech Recognition) systems evolve a lot. As The models get simpler, the difficulty of development and deployment become easier, ASR systems are getting closer to our life. On the one han
Externí odkaz:
http://arxiv.org/abs/2208.02250
Along with the flourish of the information age, massive amounts of data are generated day by day. Due to the large-scale and high-dimensional characteristics of these data, it is often difficult to achieve better decision-making in practical applicat
Externí odkaz:
http://arxiv.org/abs/2201.13194
Publikováno v:
In Engineering Fracture Mechanics 5 June 2024 303
Publikováno v:
In Engineering Fracture Mechanics 5 June 2024 303