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检索条件"机构=Key Laboratory of Data Engineering and Knowledge"
954 条 记 录,以下是1-10 订阅
排序:
Large language model for table processing: a survey
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Frontiers of Computer Science 2025年 第2期19卷 71-87页
作者: Weizheng LU Jing ZHANG Ju FAN Zihao FU Yueguo CHEN Xiaoyong DU School of Information Renmin University of ChinaBeijing 100872China Key Laboratory of Data Engineering and Knowledge Engineering Beijing 100872China WPS Office Kingsoft Co.Zhuhai 519080China
Tables,typically two-dimensional and structured to store large amounts of data,are essential in daily activities like database queries,spreadsheet manipulations,Web table question answering,and image table information... 详细信息
来源: 评论
Enhancing Extractive Question Answering in Multiparty Dialogues with Logical Inference Memory Network  31
Enhancing Extractive Question Answering in Multiparty Dialog...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Zhou, Shu Zhao, Rui Zhou, Zhengda Yi, Haohan Zheng, Xuhui Wang, Hao Nanjing University China Key Laboratory of Data Engineering and Knowledge Services in Jiangsu Provincial Universities Nanjing University China University of Technology Sydney Australia
Multiparty dialogue question answering (QA) within machine reading comprehension (MRC) presents significant challenges due to the complex interplay of information across multiple speakers and the need for advanced log... 详细信息
来源: 评论
An Evolutionary Multitasking Algorithm for Efficient Multiobjective Recommendations
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2025年 第3期6卷 518-532页
作者: Tian, Ye Ji, Luke Hu, Yiwei Ma, Haiping Wu, Le Zhang, Xingyi Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Hefei230601 China Anhui University Institutes of Physical Science and Information Technology Hefei230601 China Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data Hefei230029 China
Represented by evolutionary algorithms and swarm intelligence algorithms, nature-inspired metaheuristics have been successfully applied to recommender systems and amply demonstrated effectiveness, in particular, for m... 详细信息
来源: 评论
Histological Image Diagnosis of Breast Cancer Based on Multi-Attention Convolution Neural Network
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Journal of Shanghai Jiaotong university(Science) 2025年 第1期30卷 91-106页
作者: XU Wangwang XU Liangfeng LIU Ninghui LU Na Key Laboratory of Knowledge Engineering with Big Data(Hefei University of Technology) Ministry of EducationHefei230601China School of Computer and Information Hefei University of TechnologyHefei230601China First Affiliated Hospital of Anhui Medical University Hefei230022China
Breast cancer is a serious and high morbidity disease in women,and it is the main cause of cancer death in ***,getting tested and diagnosed early can reduce the risk of *** present,there are clinical examinations,imag... 详细信息
来源: 评论
Logit Adjustment for Imbalanced Cognitive Diagnosis
Logit Adjustment for Imbalanced Cognitive Diagnosis
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Algorithms, Computing and Machine Learning (CACML), Asia Conference on
作者: Zhengtao Tan Jimin Bao Zhuangzhuang He Dacao Zhang Key Laboratory of Knowledge Engineering With Big Data Hefei University of Technology Hefei China
Cognitive diagnosis is a critical task in intelligent education, aimed at inferring students’ mastery of knowledge concepts based on their response logs. Although existing cognitive diagnosis models achieve excellent... 详细信息
来源: 评论
Fair Personalized Learner Modeling Without Sensitive Attributes  25
Fair Personalized Learner Modeling Without Sensitive Attribu...
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34th ACM Web Conference, WWW 2025
作者: Xu, Hefei Hou, Min Wu, Le Liu, Fei Yang, Yonghui Bai, Haoyue Hong, Richang Wang, Meng Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Anhui Hefei China Institute of Dataspace Hefei Comprehensive National Science Center Anhui Hefei China
Personalized learner modeling uses learners’ historical behavior data to diagnose their cognitive abilities, a process known as Cognitive Diagnosis (CD). This is essential for web-based learning services such as lear... 详细信息
来源: 评论
KAN v.s. MLP for Offline Reinforcement Learning
KAN v.s. MLP for Offline Reinforcement Learning
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Guo, Haihong Li, Fengxin Li, Jiao Liu, Hongyan School of Information Renmin University of China China Institute of Medical Information Medical Library Chinese Academy of Medical Sciences Peking Union Medical College China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education China School of Economics and Management Tsinghua University China
Kolmogorov-Arnold Networks (KAN) is an emerging neural network architecture in machine learning. It has greatly interested the research community about whether KAN can be a promising alternative to the commonly used M... 详细信息
来源: 评论
Federated Incremental Named Entity Recognition  31
Federated Incremental Named Entity Recognition
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31st International Conference on Computational Linguistics, COLING 2025
作者: Liu, Zesheng Zhu, Qiannan 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 School of Artificial Intelligence Beijing Normal University Beijing China Engineering Research Center of Intelligent Technology and Educational Application MOE China
Federated learning-based Named Entity Recognition (FNER) has attracted widespread attention through decentralized training on local clients. However, most FNER models assume that entity types are pre-fixed, so in prac... 详细信息
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CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis
arXiv
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arXiv 2025年
作者: Zhang, Bohan Zhang, Xiaokang Zhang, Jing Yu, Jifan Luo, Sijia Tang, Jie School of Information Renmin University of China China Tsinghua University China Key Laboratory of Data Engineering and Knowledge Engineering Beijing China
Current inference scaling methods, such as Self-consistency and Best-of-N, have proven effective in improving the accuracy of LLMs on complex reasoning tasks. However, these methods rely heavily on the quality of cand... 详细信息
来源: 评论
Dynamic Scaling of Unit Tests for Code Reward Modeling
arXiv
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arXiv 2025年
作者: Ma, Zeyao Zhang, Xiaokang Zhang, Jing Yu, Jifan Luo, Sijia Tang, Jie School of Information Renmin University of China China Tsinghua University China Key Laboratory of Data Engineering and Knowledge Engineering Beijing China
Current large language models (LLMs) often struggle to produce accurate solutions on the first attempt for code generation. Prior research tackles this challenge by generating multiple candidate solutions and validati...
来源: 评论