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
From Paper to Card: Transforming Design Implications with Generative AI
Donghoon Shin, Lucy Lu Wang, Gary Hsieh
It's All About Your Sketch: Democratising Sketch Control in Diffusion Models
Subhadeep Koley, Ayan Kumar Bhunia, Deeptanshu Sekhri, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song
A Safe Harbor for AI Evaluation and Red Teaming
Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng-Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson
The Social Impact of Generative AI: An Analysis on ChatGPT
Maria T. Baldassarre, Danilo Caivano, Berenice Fernandez Nieto, Domenico Gigante, Azzurra Ragone
What makes an image realistic?
Lucas Theis
ProMoAI: Process Modeling with Generative AI
Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
Generative AI for Synthetic Data Generation: Methods, Challenges and the Future
Xu Guo, Yiqiang Chen
Design2Code: How Far Are We From Automating Front-End Engineering?
Chenglei Si, Yanzhe Zhang, Zhengyuan Yang, Ruibo Liu, Diyi Yang
Bias in Generative AI
Mi Zhou, Vibhanshu Abhishek, Timothy Derdenger, Jaymo Kim, Kannan Srinivasan
Large Language Models and Video Games: A Preliminary Scoping Review
Penny Sweetser
FhGenie: A Custom, Confidentiality-preserving Chat AI for Corporate and Scientific Use
Ingo Weber, Hendrik Linka, Daniel Mertens, Tamara Muryshkin, Heinrich Opgenoorth, Stefan Langer
Advancing Generative AI for Portuguese with Open Decoder Gerv\'asio PT*
Rodrigo Santos, João Silva, Luís Gomes, João Rodrigues, António Branco