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Data Scarcity in Recommendation Systems: A Survey
The prevalence of online content has led to the widespread adoption of recommendation systems (RSs), which serve diverse purposes such as news, advertisements, and e-commerce recommendations.
Multimodal Large Language Models: A Survey
By addressing these aspects, this paper aims to facilitate a deeper understanding of multimodal models and their potential in various domains.
AI-Generated Content (AIGC): A Survey
To address the challenges of digital intelligence in the digital economy, artificial intelligence-generated content (AIGC) has emerged.
Multitask Neuroevolution for Reinforcement Learning with Long and Short Episodes
This paper is the first to address the shortcoming of today's methods via a novel neuroevolutionary multitasking (NuEMT) algorithm, designed to transfer information from a set of auxiliary tasks (of short episode length) to the target (full length) RL task at hand.
Half a Dozen Real-World Applications of Evolutionary Multitasking, and More
Until recently, the potential to transfer evolved skills across distinct optimization problem instances (or tasks) was seldom explored in evolutionary computation.
