3 papers
cs.CV2025
Desensitizing for Improving Corruption Robustness in Point Cloud Classification through Adversarial Training
Zhiqiang Tian, Weigang Li, Chunhua Deng +3
Due to scene complexity, sensor inaccuracies, and processing imprecision, point cloud corruption is inevitable. Over-reliance on input features is the root cause of DNN vulnerabili…
cs.IR2025
RAE: A Rule-Driven Approach for Attribute Embedding in Property Graph Recommendation
Sibo Zhao, Michael Bewong, Selasi Kwashie +2
Recommendation systems are crucial in modern applications to enhance the user experience and drive business conversion rates through personalization. However, insufficient utilizat…
cs.IR2024
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking
Dezhi Ye, Junwei Hu, Jiabin Fan +4
Recent studies have highlighted the significant potential of Large Language Models (LLMs) as zero-shot relevance rankers. These methods predominantly utilize prompt learning to ass…