Generative AI
Generative AI focuses on creating new content, ranging from text and images to code and even simulations of complex systems like fluid flows, primarily using large language models (LLMs) and generative adversarial networks (GANs). Current research emphasizes improving model accuracy, addressing biases and ethical concerns, and exploring effective human-AI collaboration in diverse applications like education, healthcare, and software development. This rapidly evolving field holds significant potential to accelerate scientific discovery and transform various industries by automating tasks, generating insights from large datasets, and personalizing services.
Papers
A case study of Generative AI in MSX Sales Copilot: Improving seller productivity with a real-time question-answering system for content recommendation
Manpreet Singh, Ravdeep Pasricha, Nitish Singh, Ravi Prasad Kondapalli, Manoj R, Kiran R, Laurent Boué
AntiDeepFake: AI for Deep Fake Speech Recognition
Enkhtogtokh Togootogtokh, Christian Klasen
Identification of Regulatory Requirements Relevant to Business Processes: A Comparative Study on Generative AI, Embedding-based Ranking, Crowd and Expert-driven Methods
Catherine Sai, Shazia Sadiq, Lei Han, Gianluca Demartini, Stefanie Rinderle-Ma
Evaluating Large Language Models on the GMAT: Implications for the Future of Business Education
Vahid Ashrafimoghari, Necdet Gürkan, Jordan W. Suchow
HSC-GPT: A Large Language Model for Human Settlements Construction
Chen Ran, Yao Xueqi, Jiang Xuhui, Han Zhengqi, Guo Jingze, Zhang Xianyue, Lin Chunyu, Liu Chumin, Zhao Jing, Lian Zeke, Zhang Jingjing, Li Keke
Learning from a Generative AI Predecessor -- The Many Motivations for Interacting with Conversational Agents
Donald Brinkman, Jonathan Grudin
Generative AI and the History of Architecture
Joern Ploennigs, Markus Berger
Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities
Alaa Saleh, Roberto Morabito, Sasu Tarkoma, Susanna Pirttikangas, Lauri Lovén
Generative AI Beyond LLMs: System Implications of Multi-Modal Generation
Alicia Golden, Samuel Hsia, Fei Sun, Bilge Acun, Basil Hosmer, Yejin Lee, Zachary DeVito, Jeff Johnson, Gu-Yeon Wei, David Brooks, Carole-Jean Wu
Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians
Catherine F. Higham, Desmond J. Higham, Peter Grindrod
Exploring the intersection of Generative AI and Software Development
Filipe Calegario, Vanilson Burégio, Francisco Erivaldo, Daniel Moraes Costa Andrade, Kailane Felix, Nathalia Barbosa, Pedro Lucas da Silva Lucena, César França