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检索条件"机构=CAS Key Lab of Network Data Science and Technology"
491 条 记 录,以下是1-10 订阅
排序:
Robust Information Retrieval  25
Robust Information Retrieval
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18th ACM International Conference on Web Search and data Mining, WSDM 2025
作者: Liu, Yu-An Zhang, Ruqing Guo, Jiafeng de Rijke, Maarten CAS Key Lab of Network Data Science and Technology ICT CAS Beijing China University of Chinese Academy of Sciences Beijing China University of Amsterdam Amsterdam Netherlands
Beyond effectiveness, the robustness of an information retrieval (IR) system is increasingly attracting attention. When deployed, a critical technology such as IR should not only deliver strong performance on average ... 详细信息
来源: 评论
Large Language Model-Based Event Relation Extraction with Rationales  31
Large Language Model-Based Event Relation Extraction with Ra...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Hu, Zhilei Li, Zixuan Jin, Xiaolong Bai, Long Guo, Jiafeng Cheng, Xueqi CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of SciencesSchool of Computer Science and Technology University of Chinese Academy of Sciences
Event Relation Extraction (ERE) aims to extract various types of relations between different events within texts. Although Large Language Models (LLMs) have demonstrated impressive capabilities in many natural languag... 详细信息
来源: 评论
SmartZone: Runtime Support for Secure and Efficient On-device Inference on ARM TrustZone
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IEEE Transactions on Computers 2025年 第6期74卷 2144-2158页
作者: Jian, Zhaolong Liu, Xu Dong, Qiankun Cheng, Longkai Xie, Xueshuo Li, Tao Nankai University College of Computer Science Tianjin China Tianjin Key Laboratory of Network Tianjin China Data Science Technology Tianjin China Haihe Lab of ITAI Tianjin China
On-device inference is a burgeoning paradigm that performs model inference locally on end devices, allowing private data to remain local. ARM TrustZone as a widely supported trusted execution environment has been appl... 详细信息
来源: 评论
MDPO: Customized Direct Preference Optimization with a Metric-based Sampler for Question and Answer Generation  31
MDPO: Customized Direct Preference Optimization with a Metri...
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31st International Conference on Computational Linguistics, COLING 2025
作者: Wang, Yihang Tian, Bowen Su, Yueyang Fan, Yixing Guo, Jiafeng Beijing University of Posts and Telecommunications Beijing China Guangzhou China CAS Key Lab of Network Data Science and Technology ICT CAS Beijing China University of Chinese Academy of Sciences Beijing China
With the extensive use of large language models, automatically generating QA datasets for domain-specific fine-tuning has become crucial. However, considering the multifaceted demands for readability, diversity, and c... 详细信息
来源: 评论
NeuVSA: A Unified and Efficient Accelerator for Neural Vector Search  31
NeuVSA: A Unified and Efficient Accelerator for Neural Vecto...
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31st IEEE International Symposium on High Performance Computer Architecture, HPCA 2025
作者: Yuan, Ziming Dai, Lei Li, Wen Zhang, Jie Liang, Shengwen Wang, Ying Liu, Cheng Li, Huawei Li, Xiaowei Guo, Jiafeng Wang, Peng Chen, Renhai Zhang, Gong Shanxi University School of Computer and Information Technology China Peking University School of Computer Science China Institute of Computing Technology CAS State Key Lab of Processors China University of Chinese Academy of Sciences China Zhongguancun National Laboratory Beijing China Institute of Computing Technology CAS Key Lab of Network Data Science and Technology China Huawei Technologies Co. Ltd. China
Neural Vector Search (NVS) has exhibited superior search quality over traditional key-based strategies for information retrieval tasks. An effective NVS architecture requires high recall, low latency, and high through... 详细信息
来源: 评论
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective
arXiv
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arXiv 2025年
作者: Li, Da Bi, Keping Guo, Jiafeng Cheng, Xueqi CAS Key Lab of Network Data Science and Technology ICT CAS China University of Chinese Academy of Sciences China
Table retrieval, essential for accessing information through tabular data, is less explored compared to text retrieval. The row/column structure and distinct fields of tables (including titles, headers, and cells) pre... 详细信息
来源: 评论
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception
arXiv
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arXiv 2025年
作者: Ni, Shiyu Bi, Keping Guo, Jiafeng Yu, Lulu Bi, Baolong Cheng, Xueqi CAS Key Lab of Network Data Science and Technology ICT CAS China University of Chinese Academy of Sciences China
Large language models (LLMs) exhibit impressive performance across diverse tasks but often struggle to accurately gauge their knowledge boundaries, leading to confident yet incorrect responses. This paper explores lev... 详细信息
来源: 评论
Generative Retrieval for Book Search
arXiv
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arXiv 2025年
作者: Tang, Yubao Zhang, Ruqing Guo, Jiafeng de Rijke, Maarten Liu, Shihao Wang, Shuaiqiang Yin, Dawei Cheng, Xueqi CAS Key Lab of Network Data Science and Technology ICT CAS University of Chinese Academy of Sciences University of Amsterdam Amsterdam Netherlands University of Amsterdam Amsterdam Netherlands CAS Key Lab of Network Data Science and Technology ICT CAS University of Chinese Academy of Sciences Beijing China Baidu Inc Beijing China
In book search, relevant book information should be returned in response to a query. Books contain complex, multi-faceted information such as metadata, outlines, and main text, where the outline provides hierarchical ... 详细信息
来源: 评论
Security analysis and secured access design for networks of image remote sensing
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Digital Communications and networks 2025年 第1期11卷 136-144页
作者: Juan Zhao Haibo Dai Xiaolong Xu Hao Yan Zheng Zhang Chunguo Li School of Network Security Jinling Institute of TechnologyNanjing 211169China School of IoT Nanjing University of Posts and Telecommunications(NJUPT)Nanjing 210003China Jiangsu Key Lab.of Big Data Security and Intelligent Processing NJUPTNanJing 210003China School of Information Science and Engineering Southeast UniversityNanjing 210096China
The secured access is studied in this paper for the network of the image remote *** sensor in this network encounters the information security when uploading information of the images wirelessly from the sensor to the... 详细信息
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Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance
arXiv
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arXiv 2025年
作者: Yu, Lulu Bi, Keping Guo, Jiafeng Liu, Shihao Yin, Dawei Cheng, Xueqi CAS Key Lab of Network Data Science and Technology ICT CAS University of Chinese Academy of Sciences Beijing China Baidu Inc Beijing China
Most existing unbiased learning-to-rank (ULTR) approaches are based on the user examination hypothesis, which assumes that users will click a result only if it is both relevant and observed (typically modeled by posit... 详细信息
来源: 评论