Unified Library

Unified libraries are software packages designed to streamline research and development in various areas of artificial intelligence and machine learning by providing standardized tools and datasets. Current research focuses on creating unified frameworks for tasks such as large language model evaluation, action spotting in videos, document question answering, and fake news detection, often leveraging transformer-based architectures and incorporating advanced techniques like parameter-efficient transfer learning. These libraries enhance reproducibility, facilitate comparisons between different methods, and accelerate progress by reducing redundant coding efforts, ultimately benefiting both the research community and the development of practical AI applications.