Camera Lens
Camera lenses, in their broadest sense, are systems for focusing light to form images, impacting diverse fields from autonomous driving to artistic expression and even large language model (LLM) development. Current research focuses on improving image quality through computational aberration correction and depth-of-field control, often employing novel architectures like diffusion models and leveraging techniques from Riemannian geometry and network flows for enhanced performance. These advancements are crucial for improving the accuracy and reliability of computer vision systems, enabling new applications in various domains, and furthering our understanding of complex data representations.
Papers
Data Contamination Through the Lens of Time
Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley
Harnessing the Power of LLMs: Evaluating Human-AI Text Co-Creation through the Lens of News Headline Generation
Zijian Ding, Alison Smith-Renner, Wenjuan Zhang, Joel R. Tetreault, Alejandro Jaimes
Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories?
Jingyan Zhou, Minda Hu, Junan Li, Xiaoying Zhang, Xixin Wu, Irwin King, Helen Meng
Exploring Model Transferability through the Lens of Potential Energy
Xiaotong Li, Zixuan Hu, Yixiao Ge, Ying Shan, Ling-Yu Duan