Integral Role
Research on the "role" of various components in complex systems focuses on understanding their contributions to overall system performance and behavior. Current investigations span diverse fields, examining the impact of factors like data embedding strategies in quantum computing, prompt engineering in large language models, and architectural choices in deep learning for improved generalization and efficiency. These studies are crucial for optimizing existing systems and developing new ones, with implications ranging from enhancing AI safety and healthcare applications to improving manufacturing processes and scientific discovery.
Papers
Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity
Eric Khiu, Hasti Toossi, David Anugraha, Jinyu Liu, Jiaxu Li, Juan Armando Parra Flores, Leandro Acros Roman, A. Seza Doğruöz, En-Shiun Annie Lee
"What's my model inside of?": Exploring the role of environments for grounded natural language understanding
Ronen Tamari
On the Role of Initialization on the Implicit Bias in Deep Linear Networks
Oria Gruber, Haim Avron
XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics
Shahid Alam, Zeynep Altiparmak
Role of Momentum in Smoothing Objective Function and Generalizability of Deep Neural Networks
Naoki Sato, Hideaki Iiduka