检索结果-内蒙古大学图书馆

Prompting Large Language Models with Knowledge-Injection for Knowledge-Based Visual Question Answering

Big Data Mining and Analytics 2024年第3期7卷 843-857页

作者： Zhongjian Hu Peng Yang Fengyuan Liu Yuan Meng Xingyu Liu School of Computer Science and Engineering Southeast University the Key Laboratory of Computer Network and Information Integration(Southeast University) Ministry of Education of the People’s Republic of ChinaNanjing 211189China Southeast University-Monash University Joint Graduate School(Suzhou) Southeast UniversitySuzhou 215125China

Previous works employ the Large Language Model(LLM)like GPT-3 for knowledge-based Visual Question Answering(VQA).We argue that the inferential capacity of LLM can be enhanced through knowledge *** methods that utilize knowledge graphs to enhance LLM have been explored in various tasks,they may have some limitations,such as the possibility of not being able to retrieve the required *** this paper,we introduce a novel framework for knowledge-based VQA titled“Prompting Large Language Models with Knowledge-Injection”(PLLMKI).We use vanilla VQA model to inspire the LLM and further enhance the LLM with knowledge *** earlier approaches,we adopt the LLM for knowledge enhancement instead of relying on knowledge ***,we leverage open LLMs,incurring no additional *** comparison to existing baselines,our approach exhibits the accuracy improvement of over 1.3 and 1.7 on two knowledge-based VQA datasets,namely OK-VQA and A-OKVQA,respectively.

关键词： visual question answering knowledge-based visual question answering large language model knowledge injection

来源：评论

学校读者我要写书评

暂无评论

MLXR: multi-layer obstacle-avoiding X-architecture Steiner tree construction for VLSI routing

引用

Science China(information Sciences) 2017年第1期60卷 211-213页

作者： Xing HUANG Wenzhong GUO Genggeng LIU Guolong CHEN College of Mathematics and Computer Sciences Fuzhou University Key Laboratory of Network Computing and Intelligent Information Processing (Fujian Province) Fuzhou University

Dear editor,Rectilinear Steiner minimal tree(RSMT)has been widely used in several modern very large scale integration(VLSI)circuit design *** of its importance,it has been fully studied in the past *** addition,the density of modern VLSI chips has increased *** today’s VLSI designs,there are increasingly more obstacles,such as IP blocks and pre-routed nets,these

关键词： VLSI MLXR multi-layer obstacle-avoiding X-architecture Steiner tree construction for VLSI routing tree

来源：评论

学校读者我要写书评

暂无评论

Bilinear model for ontology mapping

引用

computer Modelling and New Technologies 2014年第8期18卷 368-372页

作者： Wu, Jian-Zhang Xiao, Yu Gao, Wei School of Computer Science and Engineer Southeast University Nanjing China Key Laboratory of Computer Network and Information Integration Southeast University Nanjing China School of Continuing Education Southeast University Nanjing China School of Information Science and Technology Yunnan Normal University Kunming China

As a model of concept representation, ontology has widely applied to various disciplines. Ontology mapping is used to create the link between different ontologies. In this paper, we present a new ontology mapping algorithm by virtue of bilinear model. The linear mapping pair is given by the iterative procedure. Two strategies are manifested to obtain the finally ontology mapping. The simulation experimental results show that the proposed new technologies have high accuracy and efficiency on ontology mapping in certain applications.

关键词： Ontology

来源：评论

学校读者我要写书评

暂无评论

A common gateway for interoperability in multi-architecture LVC simulation 6

A common gateway for interoperability in multi-architecture ...

引用

6th International Conference on computer information Science and Application Technology, CISAT 2023

作者： Lin, Shichao Wang, Yun School of Computer Science and Engineering Southeast University Nanjing China Key Lab of Computer Network and Information Integration MOE China

ISBN: (纸本)9781510668546

With the development of Live-Virtual-Constructive (LVC) simulation technology, numerous LVC simulation resources have been developed. To construct more large-scale LVC simulation, it is necessary to integrate existing simulation resources. Due to the heterogeneity of LVC resources, the interoperability between heterogeneous simulation resources becomes a major concern. This paper proposes a common gateway in multi-architecture LVC simulation environment that converts messages between different simulation architectures and achieves a level of semantic interoperability. The gateway provides a collection of protocol-independent interfaces for simulation systems to access co-simulation conveniently. To maintain timing consistency in heterogeneous simulation environments, a time synchronization method is employed to coordinate logical time and real time. Experimental results show that the scheme is flexible and can maintain data transmission latency at a millisecond level in LVC simulation environment, which includes High Level Architecture (HLA), Data Distribution Service (DDS), and Distributed Interactive Simulation (DIS). © 2023 SPIE.

关键词： Interoperability

来源：评论

学校读者我要写书评

暂无评论

KGRN: Knowledge Graph Relational Path network for Target Prediction of TCM Prescriptions 17th

KGRN: Knowledge Graph Relational Path Network for Target Pre...

引用

17th International Conference on Intelligent Computing, ICIC 2021

作者： Gong, Zhuo Zhang, Naixin He, Jieyue School of Computer Science and Engineering Key Lab of Computer Network and Information Integration MOE Southeast University Nanjing210018 China

ISBN: (纸本)9783030845315

Accurately predicting the effect targets of Traditional Chinese Medicine (TCM) prescriptions is essential for exploring the molecular mechanism and clarifying the mechanism of TCM. Although some scholars have used network pharmacology to study the target prediction of TCM prescriptions, all of them are for the analysis of a specific prescription-disease association, and the universal method for predicting effect targets of TCM prescriptions has not discovered yet. Therefore, this paper proposes a Knowledge Graph Relational Path network for Target Prediction of TCM Prescriptions (KGRN), which can integrate prescription’s molecular and target information through the Knowledge Graph (KG). At the same time, the semantic information and high-level structure of the knowledge graph are extracted through Knowledge Graph Embedding and Graph Neural networks, which can effectively capture the correlation between the prescriptions and the targets. Moreover, by emphasizing the KG relations when aggregating neighborhood information, the Relational Path network of the KGRN model has the ability to capture the relationship dependence in the KG path, which enhances the ability to predict the relationship between the prescriptions and the targets. The experiments under multiple configurations demonstrate that KGRN outperforms the related competitive benchmarks. © 2021, Springer Nature Switzerland AG.

关键词： Knowledge graph

来源：评论

学校读者我要写书评

暂无评论

CREST: Cluster-based representation enrichment for short text classification

引用

17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013

作者： Dai, Zichao Sun, Aixin Liu, Xu-Ying MOE Key Laboratory of Computer Network and Information Integration School of Computer Science and Engineering Southeast University Nanjing China School of Computer Engineering Nanyang Technological University Singapore Singapore

ISBN: (纸本)9783642374555

Text classification has gained research interests for decades. Many techniques have been developed and have demonstrated very good classification accuracies in various applications. Recently, the popularity of social platforms has changed the way we access (and contribute) information. Particularly, short messages, comments, and status updates, are now becoming a large portion of the online text data. The shortness, and more importantly, the sparsity, of the short text data call for a revisit of text classification techniques developed for well-written documents such as news articles. In this paper, we propose a cluster-based representation enrichment method, namely Crest, to deal with the shortness and sparsity of short text. More specifically, we propose to enrich a short text representation by incorporating a vector of topical relevances in addition to the commonly adopted tf -idf representation. The topics are derived from the knowledge embedded in the short text collection of interest by using hierarchical clustering algorithm with purity control. Our experiments show that the enriched representation significantly improves the accuracy of short text classification. The experiments were conducted on a benchmark dataset consisting of Web snippets using Support Vector Machines (SVM) as the classifier. © Springer-Verlag 2013.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Relative influence maximization in competitive social networks

引用

Science China(information Sciences) 2017年第10期60卷 252-254页

作者： Dingda YANG Xiangwen LIAO Huawei SHEN Xueqi CHENG Guolong CHEN College of Physics and Information Engineering Fuzhou University Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing College of Mathematics and Computer Science Fuzhou University Institute of Computing Technology Chinese Academy of Sciences

In many realistic scenarios,such as political election and viral marketing,two opposite opinions,i.e.,positive opinion and negative opinion,spread simultaneously in the same social networks[1,2].Consequently,to achiev... 详细信息

关键词： net RIM Relative influence maximization in competitive social networks Figure

来源：评论

学校读者我要写书评

暂无评论

A DV-Hop positioning algorithm based on the glowworm swarm optimisation of mixed chaotic strategy

引用

International Journal of Security and networks 2019年第1期14卷 23-33页

作者： Song, Ling Zhao, Liqin Ye, Jin School of Computer and Electronic Information Guangxi Key Laboratory of Multimedia Communications and Network Technology Guangxi University Nanning530004 China

DV-Hop, as a typical location algorithm without ranging, is widely used in node localisation of wireless sensor networks. However, in the third phase of DV-Hop, a least square method is used to solve the nonlinear equations. Using this method to locate the unknown nodes will produce large coordinates errors, poor stability of positioning accuracy, low location coverage and high energy consumption. An improved localisation algorithm based on hybrid chaotic strategy (MGDV-Hop) is proposed in this paper. Firstly, a glowworm swarm optimisation of hybrid chaotic strategy based on chaotic mutation and chaotic inertial weight updating (MC-GSO) is proposed. Then, MC-GSO is used to replace the least square method in estimating node coordinates. By establishing the error fitness function, the linear solution of coordinates is transformed into a two-dimensional combinatorial optimisation problem. Simulation results show that the average location error is reduced, while the location coverage is increased and the energy consumption is decreased. © 2019 Inderscience Enterprises Ltd.

关键词： Energy utilization

来源：评论

学校读者我要写书评

暂无评论

Blockchain-envisioned unmanned aerial vehicle communications in space-air-ground integrated network: A review

引用

Intelligent and Converged networks 2021年第4期2卷 277-294页

作者： Zhonghao Wang Fulai Zhang Qiqi Yu Tuanfa Qin School of Computer and Electronic Information and the Guangxi Key Laboratory of Multimedia Communications and Network Technology Guangxi UniversityNanning 530004China

Unmanned Aerial Vehicle(UAV)communications have recently entered a new period of interest,motivated by technological advances and the gradual emergence of the Space-Air-Ground Integrated network(SAGIN).The current survey aims to capture the use of UAVs in the SAGIN while highlighting the most promising open research *** traditional UAV network architecture is not adequate to meet the challenges presented by the SAGIN,and an effective and secure space-air-ground integrated UAV network needs to be *** its well-distributed management and consensus mechanism,blockchain technology can make up for the deficiency of the traditional UAV *** this work,we review the role of UAVs in the ***,three applications of the blockchain-envisioned UAV network are introduced through several *** challenges and the corresponding open research topics are also described.

关键词： Unmanned Aerial Vehicle(UAV) blockchain Space-Air-Ground Integrated network(SAGIN) security Internet of Things(IoT)

来源：评论

学校读者我要写书评

暂无评论

Intelligent Optimization Method for Mobile NOMA network using IMBO 6

Intelligent Optimization Method for Mobile NOMA Network usin...

引用

6th IEEE International Conference on Electronic information and Communication Technology, ICEICT 2023

作者： Fu, Xingyue Xu, Lingwei Gao, Zhihe Chen, Zhe Li, Yufang Cao, Shubo Qingdao University of Science & Technology Qingdao China Southeast University Ministry of Education Key Laboratory of Computer Network and Information Integration Nanjing211189 China

ISBN: (纸本)9798350399059

Non-orthogonal multiple access (NOMA) technology can significantly increase access volume and spectrum efficiency. The introduction of NOMA technology into the mobile communication system can significantly enhance communication performance. The power allocation technology can greatly improve the performance of NOMA systems and has become a research hotspot. However, many research schemes currently have many problems, such as poor system performance and inability to balance between user fairness and service quality. Therefore, this article studies the intelligent optimization for mobile NOMA network using improved Monarch Butterfly Optimization Algorithm(IMBO). First, an N-Nakagami channel-based mobile cooperative NOMA multi-user network is established. Then, considering the non-ideal communication condition, namely imperfect channel state information (ICSI), the exact expressions of outage probability (OP) for the mobile cooperative NOMA multi-user communication system are derived, and the relation between user power allocation coefficient and the performance of OP is investigated. Finally, an optimization algorithm of power allocation based on the IMBO is put forward, which can get the optimal power allocation coefficient. Simulation results indicate that, compared to the monarch butterfly optimization algorithm(MBO), the artificial fish swarm algorithm(AFSA), and the firefly algorithm(FA), the IMBO is at least 30% more efficient, thereby enhancing the performance of the communication system. © 2023 IEEE.

关键词： Spectrum efficiency

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：