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Found 3 papers, 1 papers with code
Evaluating and Improving Value Judgments in AI: A Scenario-Based Study on Large Language Models' Depiction of Social Conventions
The adoption of generative AI technologies is swiftly expanding.
Data Augmentation Strategies for Improving Sequential Recommender Systems
In this paper, we seek to figure out that various data augmentation strategies can improve the performance of sequential recommender systems, especially when the training dataset is not large enough.
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms
Our work is the first to apply flexible priors to collaborative filtering and show that simple priors (in original VAEs) may be too restrictive to fully model user preferences and setting a more flexible prior gives significant gains.
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