小教堂
发表于 2025-3-28 17:37:53
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要求比…更好
发表于 2025-3-28 21:29:40
Improving Zero-Shot Information Retrieval with Mutual Validation of Generative and Pseudo-Relevance zing various prompting strategies. The mutual validation process incorporates a comprehensive scoring mechanism that considers both consistency and relevance dimensions, facilitating alignment between GRF and PRF while retaining query-relevant information. Lastly, our fine-grained dual-filtering app
FACT
发表于 2025-3-29 01:30:21
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Hyaluronic-Acid
发表于 2025-3-29 06:23:44
Entity Semantic Feature Fusion Network for Remote Sensing Image-Text Retrievalntic in the text into our textual feature extractor, so that it can have a good entity perception of remote sensing text. We designed a Text Phrase Enhancement module (TPE) to further extract and enhance entity semantic and alignment visual information in text. In addition, ESFN’s experimental resul
beta-cells
发表于 2025-3-29 07:21:06
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Palter
发表于 2025-3-29 13:15:15
Semantic Preservation and Hash Fusion Network for Unsupervised Cross-Modal Retrievalonstruct a joint similarity matrix to generate high-quality unified binary hash codes by leveraging the interaction among continuous codes from different modalities. Experimental results on multiple datasets show that our method significantly outperforms existing state-of-the-art approaches in cross
Tempor
发表于 2025-3-29 18:07:13
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Condyle
发表于 2025-3-29 20:38:13
ECHO: Adaptive Correction for Subgraph-Wise Sampling with Lightweight Hyperparameter Searche, ECHO adaptively incorporates neighbor sampling epochs into the training process as correction according to the training loss. Our theoretical analysis and extensive experiments demonstrate that ECHO achieves fast convergence with high accuracy. Specifically, ECHO achieves up to 3.5. training time
charisma
发表于 2025-3-30 03:27:03
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售穴
发表于 2025-3-30 06:16:37
A Parallel and Distributed Data Management Approach for MEC Using the Improved Parameterized Deep Q-s data management and analysis across multiple edge servers and it addresses the dual challenges of parallel and distributed data management by ensuring data consistency and availability across distributed nodes, while optimizing computational resources to reduce latency and energy consumption. Expe