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 Fake Perfects to Conversational Imperfects: Exploring Image-Generative AI as a Boundary Object for Participatory Design of Public Spaces
Jose A. Guridi, Angel Hsing-Chi Hwang, Duarte Santo, Maria Goula, Cristobal Cheyre, Lee Humphreys, Marco Rangel
Generative AI and Agency in Education: A Critical Scoping Review and Thematic Analysis
Jasper Roe (1), Mike Perkins (2) ((1) James Cook University Singapore, (2) British University Vietnam)
Cityscape-Adverse: Benchmarking Robustness of Semantic Segmentation with Realistic Scene Modifications via Diffusion-Based Image Editing
Naufal Suryanto, Andro Aprila Adiputra, Ahmada Yusril Kadiptya, Thi-Thu-Huong Le, Derry Pratama, Yongsu Kim, Howon Kim
Creativity in the Age of AI: Evaluating the Impact of Generative AI on Design Outputs and Designers' Creative Thinking
Yue Fu, Han Bin, Tony Zhou, Marx Wang, Yixin Chen, Zelia Gomes Da Costa Lai, Jacob O. Wobbrock, Alexis Hiniker
Responsible Retrieval Augmented Generation for Climate Decision Making from Documents
Matyas Juhasz, Kalyan Dutia, Henry Franks, Conor Delahunty, Patrick Fawbert Mills, Harrison Pim
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks
Youngjoon Lee, Jinu Gong, Joonhyuk Kang
Generative AI for Accessible and Inclusive Extended Reality
Jens Grubert, Junlong Chen, Per Ola Kristensson
Survey of User Interface Design and Interaction Techniques in Generative AI Applications
Reuben Luera, Ryan A. Rossi, Alexa Siu, Franck Dernoncourt, Tong Yu, Sungchul Kim, Ruiyi Zhang, Xiang Chen, Hanieh Salehy, Jian Zhao, Samyadeep Basu, Puneet Mathur, Nedim Lipka
Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIs
Rino Saiga, Kaede Shiga, Yo Maruta, Chie Inomoto, Hiroshi Kajiwara, Naoya Nakamura, Yu Kakimoto, Yoshiro Yamamoto, Masahiro Yasutake, Masayuki Uesugi, Akihisa Takeuchi, Kentaro Uesugi, Yasuko Terada, Yoshio Suzuki, Viktor Nikitin, Vincent De Andrade, Francesco De Carlo, Yuichi Yamashita, Masanari Itokawa, Soichiro Ide, Kazutaka Ikeda, Ryuta Mizutani
Unbounded: A Generative Infinite Game of Character Life Simulation
Jialu Li, Yuanzhen Li, Neal Wadhwa, Yael Pritch, David E. Jacobs, Michael Rubinstein, Mohit Bansal, Nataniel Ruiz
Denoising diffusion probabilistic models are optimally adaptive to unknown low dimensionality
Zhihan Huang, Yuting Wei, Yuxin Chen
The Nature of Mathematical Modeling and Probabilistic Optimization Engineering in Generative AI
Fulu Li
Evaluating AI-Generated Essays with GRE Analytical Writing Assessment
Yang Zhong, Jiangang Hao, Michael Fauss, Chen Li, Yuan Wang
Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups
Charvi Rastogi, Tian Huey Teh, Pushkar Mishra, Roma Patel, Zoe Ashwood, Aida Mostafazadeh Davani, Mark Diaz, Michela Paganini, Alicia Parrish, Ding Wang, Vinodkumar Prabhakaran, Lora Aroyo, Verena Rieser
IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing
Kang Chen, Qingheng Zhang, Chengbao Lian, Yixin Ji, Xuwei Liu, Shuguang Han, Guoqiang Wu, Fei Huang, Jufeng Chen