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检索条件"机构=Computer Architecture and Languages Laboratory Institute of Computer Science"
736 条 记 录,以下是71-80 订阅
排序:
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization
arXiv
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arXiv 2023年
作者: Wu, Ting Zheng, Rui Gui, Tao Zhang, Qi Huang, Xuanjing School of Computer Science Fudan University China Institute of Modern Languages and Linguistics Fudan University China Shanghai Key Laboratory of Intelligent Information Processing China
Models trained via empirical risk minimization (ERM) are revealed to easily rely on spurious correlations, resulting in poor model generalization. Group distributionally robust optimization (group DRO) can alleviate t... 详细信息
来源: 评论
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild
arXiv
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arXiv 2023年
作者: Wu, Ting Liu, Jingyi Zheng, Rui Zhang, Qi Gui, Tao Huang, Xuanjing School of Computer Science Fudan University China Institute of Modern Languages and Linguistics Fudan University China Shanghai Key Laboratory of Intelligent Information Processing China
The principle of continual relation extraction (CRE) involves adapting to emerging novel relations while preserving od knowledge. While current endeavors in CRE succeed in preserving old knowledge, they tend to fail w... 详细信息
来源: 评论
Building Agile Workflow Microservice System for HPC Applications Based on Fast-start OSv  27
Building Agile Workflow Microservice System for HPC Applicat...
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27th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2021
作者: Hu, Qiang Ma, Lixian Shao, En Tan, Guangming Institute of Computing Technology CAS State Key Laboratory of Computer Architecture Beijing China University of Chinese Academy of Science Beijing China
The advances of containers have significantly promoted the development of microservice architecture. This architecture splits a monolithic application into multiple independent components and the container orchestrato... 详细信息
来源: 评论
RAAMove: A Corpus for Analyzing Moves in Research Article Abstracts  30
RAAMove: A Corpus for Analyzing Moves in Research Article Ab...
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Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024
作者: Li, Hongzheng Wang, Ruojin Shi, Ge Lv, Xing Lei, Lei Feng, Chong Liu, Fang Lin, Jinkun Mei, Yangguang Xu, Lingnan School of Foreign Languages Key Laboratory of Language Cognition and Computation Ministry of Industry and Information Technology Beijing Institute of Technology 8 Liangxiang East Road Fangshan District Beijing102488 China Faculty of Information Technology Beijing University of Technology 100 Pingleyuan Chaoyang District Beijing100124 China School of Computer Science Beijing Institute of Technology 5 Zhongguancun South St. Haidian District Beijing100081 China
Move structures have been studied in English for Specific Purposes (ESP) and English for Academic Purposes (EAP) for decades. However, there are few move annotation corpora for Research Article (RA) abstracts. In this... 详细信息
来源: 评论
Large Scale Model Enabled Semantic Communications Based on Robust Knowledge Distillation
Large Scale Model Enabled Semantic Communications Based on R...
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2024 IEEE Global Communications Conference, GLOBECOM 2024
作者: Ding, Kuiyuan Liu, Fangfang Yang, Yang Chen, Mingzhe Guo, Caili Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing100876 China University of Miami Department of Electrical and Computer Engineering The Institute for Data Science and Computing Coral GablesFL33146 United States Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing100876 China
Large scale artificial intelligence (AI) models possess excellent capabilities in semantic representation and understanding, making them particularly well-suited for semantic encoding and decoding. However, the substa... 详细信息
来源: 评论
Predicting Large Language Model Capabilities on Closed-Book QA Tasks Using Only Information Available Prior to Training
arXiv
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arXiv 2025年
作者: Jiang, Changhao Zhang, Ming Ye, Junjie Fan, Xiaoran Cao, Yifei Sun, Jiajun Xi, Zhiheng Dou, Shihan Dong, Yi Shen, Yujiong Tong, Jingqi Wang, Zhen Liang, Tao Fei, Zhihui Wan, Mingyang Ma, Guojun Zhang, Qi Gui, Tao Huang, Xuanjing School of Computer Science Fudan University Shanghai China ByteDance China Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai China Institute of Modern Languages and Linguistics Fudan University Shanghai China
The GPT-4 technical report from OpenAI suggests that model performance on specific tasks can be predicted prior to training, though methodologies remain unspecified. This approach is crucial for optimizing resource al... 详细信息
来源: 评论
Analysis and Design of Mobile Model for DTN
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Chinese Journal of Electronics 2023年 第4期18卷 635-638页
作者: Zhiting Lin Yugui Qu Yusheng Ji Baohua Zhao Department of Computer Science University of Science and Technology of China Hefei China Province Key Laboratory of Software in Computing and Communication Hefei China Information Systems Architecture Science Research Division National Institute of Informatics Tokyo Japan
Delay tolerant networks may become unexpectedly partitioned due to node mobility or variation in signal strength. However, most widely used models in some relative works are generally very simplistic. In order to expl... 详细信息
来源: 评论
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
arXiv
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arXiv 2024年
作者: Ye, Junjie Li, Guanyu Gao, Songyang Huang, Caishuang Wu, Yilong Li, Sixian Fan, Xiaoran Dou, Shihan Ji, Tao Zhang, Qi Gui, Tao Huang, Xuanjing School of Computer Science Fudan University China Institute of Modern Languages and Linguistics Fudan University China Key Laboratory of Intelligent Information Processing Fudan University Shanghai China Research Institute of Intelligent Complex Systems Fudan University China Pengcheng Laboratory China
Existing evaluations of tool learning primarily focus on validating the alignment of selected tools (e.g., various APIs) for large language models (LLMs) with expected outcomes. However, these approaches rely on a lim... 详细信息
来源: 评论
Safety Guaranteed Power-Delivered-to-Load Maximization for Magnetic Wireless Power Transfer
Safety Guaranteed Power-Delivered-to-Load Maximization for M...
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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies
作者: Wangqiu Zhou Xinyu Wang Hao Zhou Shenyao Jiang Zhi Liu Yusheng Ji LINKE Lab School of Computer Science and Technology University of Science and Technology of China CAS Key Laboratory of Wireless-Optical Communications University of Science and Technology of China Deqing Alpha Innovation Institute Huzhou China Department of Computer and Network Engineering The University of Electro-Communications Tokyo Japan Information Systems Architecture Science Research Division National Institute of Informatics Tokyo Japan
Electromagnetic radiation (EMR) safety has always been a critical reason for hindering the development of magneticenabled wireless power transfer technology. People focus on the actual received energy at charging devi... 详细信息
来源: 评论
Energy-Efficient and Reliable Federated Learning in Heterogeneous Mobile-Edge Computing
Energy-Efficient and Reliable Federated Learning in Heteroge...
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Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC
作者: Yan Xu Liying Li Peijin Cong Junlong Zhou School of Computer Science and Engineering Nanjing University of Science and Technology China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China
As a decentralized machine learning paradigm, Federated Learning (FL) is an emerging technique to protect user data privacy in Mobile Edge Computing (MEC). FL adopts the idea of distributed privacy computing, enabling...
来源: 评论