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08/31/2023
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
Recommender models excel at providing domain-specific item recommendatio...
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08/23/2023
From Instructions to Intrinsic Human Values – A Survey of Alignment Goals for Big Models
Big models, exemplified by Large Language Models (LLMs), are models typi...
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08/02/2023
Interpretable End-to-End Driving Model for Implicit Scene Understanding
Driving scene understanding is to obtain comprehensive scene information...
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05/16/2023
Multivariate range Value-at-Risk and covariance risk measures for elliptical and log-elliptical distributions
In this paper, we propose the multivariate range Value-at-Risk (MRVaR) a...
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04/27/2023
Towards Explainable Collaborative Filtering with Taste Clusters Learning
Collaborative Filtering (CF) is a widely used and effective technique fo...
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11/30/2022
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection
Deep semantic matching aims to discriminate the relationship between doc...
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08/19/2022
Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer
Document retrieval has been extensively studied within the index-retriev...
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03/01/2022
DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index
Web search provides a promising way for people to obtain information and...
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01/14/2022
AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images
Multi-sequence cardiac magnetic resonance (CMR) provides essential patho...
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10/13/2021
Learning to Select Historical News Articles for Interaction based Neural News Recommendation
The key to personalized news recommendation is to match the user's inter...
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09/30/2021
USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence
Search and recommendation are the two most common approaches used by peo...
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08/06/2020
Graph Convolutional Networks for Hyperspectral Image Classification
Convolutional neural networks (CNNs) have been attracting increasing att...
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07/28/2020
Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning
Extensive attention has been widely paid to enhance the spatial resoluti...
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07/17/2020
Spatial-Spectral Manifold Embedding of Hyperspectral Data
In recent years, hyperspectral imaging, also known as imaging spectrosco...
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07/10/2020