Software Development Teams build an end-to-end project knowledge base that self-improves generating enhanced, fully traceable ...
Abstract: This work proposes TimeChat, a time-sensitive multi-modal large language model specifically designed for long video understanding. Our model incorporates two key architectural contributions: ...
Human-Comparable Sensitivity of Large Language Models in Identifying Eligible Studies Through Title and Abstract Screening: 3-Layer Strategy Using GPT-3.5 and GPT-4 for Systematic Reviews ...
Abstract: This study investigates how technical advances in large language models (LLMs) translate into measurable educational benefit. University admission counseling plays a crucial role in helping ...
Multimodal Machine Learning for Early Prediction of Metastasis in a Swedish Multicancer Cohort The growing volume of biomedical literature, especially in oncology, necessitates automated tools for ...