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检索条件"机构=Key Laboratory of Intelligent Computing and Information Processing"
10701 条 记 录,以下是101-110 订阅
Searching for Best Practices in Retrieval-Augmented Generation
Searching for Best Practices in Retrieval-Augmented Generati...
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2024 Conference on Empirical Methods in Natural Language processing, EMNLP 2024
作者: Wang, Xiaohua Wang, Zhenghua Gao, Xuan Zhang, Feiran Wu, Yixin Xu, Zhibo Shi, Tianyuan Wang, Zhengyuan Li, Shizheng Qian, Qi Yin, Ruicheng Lv, Changze Zheng, Xiaoqing Huang, Xuanjing School of Computer Science Fudan University Shanghai Key Laboratory of Intelligent Information Processing Shanghai China
Retrieval-augmented generation (RAG) techniques have proven to be effective in integrating up-to-date information, mitigating hallucinations, and enhancing response quality, particularly in specialized domains. While ... 详细信息
来源: 评论
A Review on the Application of Deep Learning Methods in Detection and Identification of Rice Diseases and Pests
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Computers, Materials & Continua 2024年 第1期78卷 197-225页
作者: Xiaozhong Yu Jinhua Zheng College of Computer Science and Technology Hengyang Normal UniversityHengyang421002China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang Normal UniversityHengyang421002China
In rice production,the prevention and management of pests and diseases have always received special *** methods require human experts,which is costly and *** to the complexity of the structure of rice diseases and pes... 详细信息
来源: 评论
SFGA-CPA: A Novel Screening Correlation Power Analysis Framework Based on Genetic Algorithm
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Computers, Materials & Continua 2024年 第6期79卷 4641-4657页
作者: Jiahui Liu Lang Li Di Li Yu Ou College of Computer Science and Technology Hengyang Normal UniversityHengyang421002China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang Normal UniversityHengyang421002China
Correlation power analysis(CPA)combined with genetic algorithms(GA)now achieves greater attack efficiency and can recover all subkeys ***,two issues in GA-based CPA still need to be addressed:key degeneration and slow... 详细信息
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SPEECHTOKENIZER: UNIFIED SPEECH TOKENIZER FOR SPEECH LANGUAGE MODELS  12
SPEECHTOKENIZER: UNIFIED SPEECH TOKENIZER FOR SPEECH LANGUAG...
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12th International Conference on Learning Representations, ICLR 2024
作者: Zhang, Xin Zhang, Dong Li, Shimin Zhou, Yaqian Qiu, Xipeng School of Computer Science Fudan University Shanghai Key Laboratory of Intelligent Information Processing Fudan University
Current speech large language models build upon discrete speech representations, which can be categorized into semantic tokens and acoustic tokens. However, existing speech tokens are not specifically designed for spe... 详细信息
来源: 评论
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance
InferAligner: Inference-Time Alignment for Harmlessness thro...
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2024 Conference on Empirical Methods in Natural Language processing, EMNLP 2024
作者: Wang, Pengyu Zhang, Dong Li, Linyang Tan, Chenkun Wang, Xinghao Zhang, Mozhi Ren, Ke Jiang, Botian Qiu, Xipeng School of Computer Science Fudan University Shanghai Key Laboratory of Intelligent Information Processing Fudan University
As large language models (LLMs) rapidly evolve, they are increasingly being customized through fine-tuning to suit the specific needs of various applications. A critical aspect of this advancement is the alignment pro... 详细信息
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Dual Neural Network Approach for Dual-Energy Imaging and Material Decomposition  3rd
Dual Neural Network Approach for Dual-Energy Imaging and Mat...
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3rd International Conference on Artificial Intelligence, Robotics, and Communication, ICAIRC 2023
作者: Shen, Ye Ren, Junru Wang, Yizhong Zhang, Xinrui Wang, Shaoyu Cai, Ailong Liang, Ningning Li, Lei Yan, Bin Department of Henan Key Laboratory of Imaging and Intelligent Processing Information Engineering University Zhengzhou450000 China
Dual-energy computed tomography (DECT) is a promising technology which uses X-ray beams with different energies to obtain the material attenuation information of the scanned object. However, in contrast to single-ener... 详细信息
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Addressing Imbalance for Class Incremental Learning in Medical Image Classification  24
Addressing Imbalance for Class Incremental Learning in Medic...
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32nd ACM International Conference on Multimedia, MM 2024
作者: Hao, Xuze Ni, Wenqian Jiang, Xuhao Tan, Weimin Yan, Bo Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai China
Deep convolutional neural networks have made significant breakthroughs in medical image classification, under the assumption that training samples from all classes are simultaneously available. However, in real-world ... 详细信息
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A Medical Data-Effective Learning Benchmark for Highly Efficient Pre-training of Foundation Models  24
A Medical Data-Effective Learning Benchmark for Highly Effic...
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32nd ACM International Conference on Multimedia, MM 2024
作者: Yang, Wenxuan Tan, Weimin Sun, Yuqi Yan, Bo Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai China
Foundation models, pre-trained on massive datasets, have achieved unprecedented generalizability. However, is it truly necessary to involve such vast amounts of data in pre-training, consuming extensive computational ... 详细信息
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Glare-SNet: Unsupervised Glare Suppression Balance Network  27th
Glare-SNet: Unsupervised Glare Suppression Balance Network
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Li, Pei Zuo, Chengyu Wei, Wangjuan Pan, Xiaoying Wang, Zhanhao School of Computer Science and Technology Xi’an University of Posts and Telecommunications Xi’an710121 China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi’an China Shaanxi Key Laboratory of Intelligent Media Computing and interaction Xi’an China Xi’an Key Laboratory of Big Data and Intelligent Computing Xi’an China
In light of the problems associated with glare and halo effects in low-light images, as well as the inadequacy of existing processing algorithms in handling details, a glare suppression balance network based on unsupe... 详细信息
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FacialFlowNet: Advancing Facial Optical Flow Estimation with a Diverse Dataset and a Decomposed Model  24
FacialFlowNet: Advancing Facial Optical Flow Estimation with...
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32nd ACM International Conference on Multimedia, MM 2024
作者: Lu, Jianzhi He, Ruian Zhou, Shili Tan, Weimin Yan, Bo Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai China
Facial movements play a crucial role in conveying altitude and intentions, and facial optical flow provides a dynamic and detailed representation of it. However, the scarcity of datasets and a modern baseline hinders ... 详细信息
来源: 评论