The field of structured generation has become important with the rise of LLMs. Capable of generating human-like text, these models ...
The exponential growth of multidimensional data in various fields, such as machine learning, geospatial analysis, and clustering, has posed significant ...
Maps are widely used today and are useful in numerous location-based applications, including navigation, ride-sharing, fitness tracking, gaming, robotics, and ...
In recent years, there has been significant development in the field of large pre-trained models for robot policy learning. The ...
Knowledge Graph (KG) synthesis is gaining ground in artificial intelligence research because it can build structured knowledge representations from expansive, ...
Large language models (LLMs) have gained significant attention in data management, with applications spanning data integration, database tuning, query optimization, ...
Efficient parameter fine-tuning (PEFT) methods, such as low-rank adaptation (LoRA), allow large pre-trained baseline models to adapt to subsequent tasks ...
Information retrieval (IR) systems for search and recommendations often use learning-to-rank (LTR) solutions to prioritize items relevant to user queries. ...
Information retrieval (IR) models face significant challenges in delivering transparent and intuitive search experiences. Current methodologies rely primarily on a ...
Deep learning has made significant advances in artificial intelligence, particularly in natural language processing and computer vision. However, even the ...
