The code base for our work on improving the performance of sequence-to-expression models for making individual-specific gene expression predictions by fine-tuning ...

Abstract: Applications of Large Language Models (LLM) for source code analysis and related tasks arising during the development of an industrial static analyzer are becoming increasingly relevant due ...

Large language models (LLMs) have enabled the creation of multi-modal LLMs that exhibit strong comprehension of visual data such as images and videos. However, these models usually rely on extensive ...

Abstract: The evolution of wireless communications has been significantly influenced by remarkable advancements in multiple access (MA) technologies over the past five decades, shaping the landscape ...