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检索条件"机构=Key Lab of Network Science and Technology"
905 条 记 录,以下是81-90 订阅
排序:
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval
arXiv
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arXiv 2023年
作者: Cai, Yinqiong Fan, Yixing Bi, Keping Guo, Jiafeng Chen, Wei Zhang, Ruqing Cheng, Xueqi CAS Key Lab of Network Data Science and Technology ICT CAS University of Chinese Academy of Sciences Beijing China
The first-stage retrieval aims to retrieve a subset of candidate documents from a huge collection both effectively and efficiently. Since various matching patterns can exist between queries and relevant documents, pre... 详细信息
来源: 评论
CIR at the NTCIR-17 ULTRE-2 Task
arXiv
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arXiv 2023年
作者: Yu, Lulu Bi, Keping Guo, Jiafeng Cheng, Xueqi CAS Key Lab of Network Data Science and Technology ICT CAS University of Chinese Academy of Sciences Beijing China
The Chinese academy of sciences Information Retrieval team (CIR) has participated in the NTCIR-17 ULTRE-2 task. This paper describes our approaches and reports our results on the ULTRE-2 task. We recognize the issue o... 详细信息
来源: 评论
Feature-Enhanced network with Hybrid Debiasing Strategies for Unbiased Learning to Rank
arXiv
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arXiv 2023年
作者: Yu, Lulu Wang, Yiting Sun, Xiaojie Bi, Keping Guo, Jiafeng CAS Key Lab of Network Data Science and Technology ICT CAS University of Chinese Academy of Sciences Beijing China
Unbiased learning to rank (ULTR) aims to mitigate various biases existing in user clicks, such as position bias, trust bias, presentation bias, and learn an effective ranker. In this paper, we introduce our winning ap... 详细信息
来源: 评论
Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search
arXiv
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arXiv 2023年
作者: Sun, Xiaojie Yu, Lulu Wang, Yiting Bi, Keping Guo, Jiafeng CAS Key Lab of Network Data Science and Technology ICT CAS University of Chinese Academy of Sciences Beijing China
An effective ranking model usually requires a large amount of training data to learn the relevance between documents and queries. User clicks are often used as training data since they can indicate relevance and are c... 详细信息
来源: 评论
Finformer: A Static-dynamic Spatiotemporal Framework for Stock Trend Prediction
Finformer: A Static-dynamic Spatiotemporal Framework for Sto...
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2023 IEEE International Conference on Big Data, BigData 2023
作者: Zu, Yi Mi, Jiacong Song, Lingning Lu, Shan He, Jieyue Southeast University School of Computer Science and Engineering Key Lab of Computer Network and Information Integration MOE Nanjing China Southeast University School of Software Engineering Nanjing China Nanjing Fenghuo Tiandi Communication Technology Co. Ltd Nanjing China
The core of quantitative investment lies in predicting future trends in stock prices. The future trend of a stock is closely related to the industry it belongs to and its relationship with other stocks. Although some ... 详细信息
来源: 评论
Are Large Language Models Good at Utility Judgments?
arXiv
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arXiv 2024年
作者: Zhang, Hengran Zhang, Ruqing Guo, Jiafeng de Rijke, Maarten Fan, Yixing Cheng, Xueqi CAS Key Lab of Network Data Science and Technology ICT CAS University of Chinese Academy of Sciences Beijing China University of Amsterdam Amsterdam Netherlands
Retrieval-augmented generation (RAG) is considered to be a promising approach to alleviate the hallucination issue of large language models (LLMs), and it has received widespread attention from researchers recently. D... 详细信息
来源: 评论
On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective
arXiv
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arXiv 2023年
作者: Liu, Yu-An Zhang, Ruqing Guo, Jiafeng Chen, Wei Cheng, Xueqi CAS Key Lab of Network Data Science and Technology ICT CAS University of Chinese Academy of Sciences Beijing China
Recently, we have witnessed generative retrieval increasingly gaining attention in the information retrieval (IR) field, which retrieves documents by directly generating their identifiers. So far, much effort has been... 详细信息
来源: 评论
CLIPURE: PURIFICATION IN LATENT SPACE VIA CLIP FOR ADVERSARIALLY ROBUST ZERO-SHOT CLASSIFICATION
arXiv
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arXiv 2025年
作者: Zhang, Mingkun Bi, Keping Chen, Wei Guo, Jiafeng Cheng, Xueqi State Key Lab of AI Safety CAS Key Lab of AI Safety Institute of Computing Technology Chinese Academy of Sciences Beijing China CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
In this paper, we aim to build an adversarially robust zero-shot image classifier. We ground our work on CLIP, a vision-language pre-trained encoder model that can perform zero-shot classification by matching an image... 详细信息
来源: 评论
Generative Retrieval for Book Search  25
Generative Retrieval for Book Search
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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1
作者: Yubao Tang Ruqing Zhang Jiafeng Guo Maarten de Rijke Shihao Liu Shuaiqiang Wang Dawei Yin Xueqi Cheng CAS Key Lab of Network Data Science and Technology ICT CAS Beijing China University of the Chinese Academy of Sciences Beijing China & University of Amsterdam Amsterdam Netherlands 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 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
Design and Implementation of Security Vulnerability Sharing Platform Based on Web Crawler  11th
Design and Implementation of Security Vulnerability Sharing ...
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11th International Conference on Computer Engineering and networks, CENet2021
作者: Wang, Zhiqiang Wang, Ziyi Wang, Zhuoyue Zhang, Zhirui Yang, Tao Beijing Electronic Science and Technology Institute Beijing100070 China State Information Center Beijing100045 China Key Lab of Information Network Security Ministry of Public Security Shanghai China
network attacks affect the security of basic network facilities and critical information systems and cause serious damage to the national security. It is vital and important to establish a platform of software and har... 详细信息
来源: 评论