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检索条件"机构=Key Laboratories of Data Engineering and Knowledge Engineering"
1111 条 记 录,以下是91-100 订阅
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Gender Disparity in Expressed Emotions within Health-Related Online Support Groups
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Proceedings of the Association for Information Science and Technology 2021年 第1期58卷 883-885页
作者: Zhao, Yuehua Wang, Hao Deng, Sanhong Chen, Ye Nanjing University Jiangsu Key Laboratory of Data Engineering and Knowledge Service Nanjing China Central China Normal University Wuhan China
Online support groups offer a new way to users to communicate with others regarding certain health issues. Taking autism-related support groups on Facebook as an example, we examine whether the expressed emotions diff... 详细信息
来源: 评论
LLMIdxAdvis: Resource-Efficient Index Advisor Utilizing Large Language Model
arXiv
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arXiv 2025年
作者: Zhao, Xinxin Li, Haoyang Zhang, Jing Huang, Xinmei Zhang, Tieying Chen, Jianjun Shi, Rui Li, Cuiping Chen, Hong School of Information Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering MOE China Engineering Research Center of Database and Business Intelligence MOE China ByteDance China
Index recommendation is essential for improving query performance in database management systems (DBMSs) through creating an optimal set of indexes under specific constraints. Traditional methods, such as heuristic an... 详细信息
来源: 评论
PCQPR: Proactive Conversational Question Planning with Reflection
arXiv
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arXiv 2024年
作者: Guo, Shasha Liao, Lizi Zhang, Jing Li, Cuiping Chen, Hong School of Information Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education China Singapore Management University Singapore
Conversational Question Generation (CQG) enhances the interactivity of conversational question-answering systems in fields such as education, customer service, and entertainment. However, traditional CQG, focusing pri... 详细信息
来源: 评论
QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation
QGEval: Benchmarking Multi-dimensional Evaluation for Questi...
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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
作者: Fu, Weiping Wei, Bifan Hu, Jianxiang Cai, Zhongmin Liu, Jun School of Computer Science and Technology Xi'an Jiaotong University Xi'an China School of Continuing Education Xi'an Jiaotong University Xi'an China MOE KLINNS Lab School of Automation Science and Engineering Xi'an Jiaotong University Xi'an China Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Xi'an Jiaotong University Xi'an China
Automatically generated questions often suffer from problems such as unclear expression or factual inaccuracies, requiring a reliable and comprehensive evaluation of their quality. Human evaluation is widely used in t... 详细信息
来源: 评论
How to Mitigate Information Loss in knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback
arXiv
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arXiv 2025年
作者: Huang, Manzong Bu, Chenyang He, Yi Wu, Xindong Key Laboratory of Knowledge Engineering with Big Data [Hefei University of Technology Ministry of Education China School of Data Science William & Mary WilliamsburgVA United States
knowledge Graph (KG)-augmented Large Language Models (LLMs) have recently propelled significant advances in complex reasoning tasks, thanks to their broad domain knowledge and contextual awareness. Unfortunately, curr... 详细信息
来源: 评论
Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch
arXiv
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arXiv 2023年
作者: Du, Pan Zhao, Suyun Sheng, Zisen Li, Cuiping Chen, Hong Key Lab of Data Engineering and Knowledge Engineering of MOE Renmin University of China China Renmin University of China Beijing China
Semi-Supervised Learning (SSL) under class distribution mismatch aims to tackle a challenging problem wherein unlabeled data contain lots of unknown categories unseen in the labeled ones. In such mismatch scenarios, t... 详细信息
来源: 评论
OmniSQL: Synthesizing High-quality Text-to-SQL data at Scale
arXiv
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arXiv 2025年
作者: Li, Haoyang Wu, Shang Zhang, Xiaokang Huang, Xinmei Zhang, Jing Jiang, Fuxin Wang, Shuai Zhang, Tieying Chen, Jianjun Shi, Rui Chen, Hong Li, Cuiping Engineering Research Center of Database and Business Intelligence MOE China School of Information Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering MOE China ByteDance Inc China
Text-to-SQL, the task of translating natural language questions into SQL queries, plays a crucial role in enabling non-experts to interact with databases. While recent advancements in large language models (LLMs) have... 详细信息
来源: 评论
Dynamic Tracking with Fuzzy Rules for Evolutionary Dynamic Constrained Optimization
Dynamic Tracking with Fuzzy Rules for Evolutionary Dynamic C...
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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023
作者: Bu, Chenyang Liu, Yuxin Zhang, Lizhong Zhu, Tao Luo, Wenjian School of Computer Science and Information Engineering Hefei University of Technology Ministry of Education Key Laboratory of Knowledge Engineering with Big Data Anhui Hefei230027 China School of Computer Science and Information Engineering University of South China Hunan Hengyang421200 China School of Computer Science and Technology Harbin Institute of Technology Guangdong Shenzhen518000 China
Nature-inspired population-based stochastic search algorithms (SSA) have demonstrated effectiveness in solving many real-world dynamic optimization problems (DOPs), such as dynamic optimal power flow (DOPF) problems. ...
来源: 评论
Classifier Belief Optimization for Visual Categorization  27th
Classifier Belief Optimization for Visual Categorization
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27th International Conference on MultiMedia Modeling, MMM 2021
作者: Yang, Gang Li, Xirong Key Lab of Data Engineering and Knowledge Engineering Beijing China School of Information Renmin University of China Beijing China
Classifier belief represents the confidence of a classifier making judgment about a special instance. Based on classifier belief, we propose an approach to realize classifier belief optimization. Through enriching pri... 详细信息
来源: 评论
Fine-Grained Generation for Zero-Shot Learning  27th
Fine-Grained Generation for Zero-Shot Learning
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27th International Conference on MultiMedia Modeling, MMM 2021
作者: Sun, Weimin Xu, Jieping Yang, Gang Key Lab of Data Engineering and Knowledge Engineering Beijing China School of Information Renmin University of China Beijing China
Although zero-shot learning (ZSL) has achieved success in recognizing unseen classes images, most previous studies focus on feature projection from one domain to another, neglecting the domain shift problem caused by ... 详细信息
来源: 评论