Use Case
Use cases explore the practical applications of various AI techniques across diverse domains, aiming to demonstrate their effectiveness and identify challenges in real-world scenarios. Current research focuses on leveraging large language models (LLMs), convolutional neural networks (CNNs), and generative AI (e.g., GANs, VAEs) for tasks ranging from human action recognition and code generation to synthetic data creation and multilingual text analysis. This research is crucial for evaluating the efficacy and limitations of AI technologies, informing responsible development, and driving the adoption of AI solutions in fields like healthcare, manufacturing, and legal tech.
Papers
5IDER: Unified Query Rewriting for Steering, Intent Carryover, Disfluencies, Entity Carryover and Repair
Jiarui Lu, Bo-Hsiang Tseng, Joel Ruben Antony Moniz, Site Li, Xueyun Zhu, Hong Yu, Murat Akbacak
A Modular Test Bed for Reinforcement Learning Incorporation into Industrial Applications
Reuf Kozlica, Georg Schäfer, Simon Hirländer, Stefan Wegenkittl