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
Harm Amplification in Text-to-Image Models
Susan Hao, Renee Shelby, Yuchi Liu, Hansa Srinivasan, Mukul Bhutani, Burcu Karagol Ayan, Ryan Poplin, Shivani Poddar, Sarah Laszlo
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter
Extending Interactive Science Exhibits into the Classroom using Anthropomorphized Chatbots and Bloom's Taxonomy
Yousuf Golding
Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications
Ramteja Sajja, Carlos Erazo Ramirez, Zhouyayan Li, Bekir Z. Demiray, Yusuf Sermet, Ibrahim Demir
A Survey on Generative AI and LLM for Video Generation, Understanding, and Streaming
Pengyuan Zhou, Lin Wang, Zhi Liu, Yanbin Hao, Pan Hui, Sasu Tarkoma, Jussi Kangasharju
Generative AI-based closed-loop fMRI system
Mikihiro Kasahara, Taiki Oka, Vincent Taschereau-Dumouchel, Mitsuo Kawato, Hiroki Takakura, Aurelio Cortese
3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems
Liang Zhang, Jionghao Lin, Conrad Borchers, Meng Cao, Xiangen Hu
Towards Optimizing the Costs of LLM Usage
Shivanshu Shekhar, Tanishq Dubey, Koyel Mukherjee, Apoorv Saxena, Atharv Tyagi, Nishanth Kotla
Towards Red Teaming in Multimodal and Multilingual Translation
Christophe Ropers, David Dale, Prangthip Hansanti, Gabriel Mejia Gonzalez, Ivan Evtimov, Corinne Wong, Christophe Touret, Kristina Pereyra, Seohyun Sonia Kim, Cristian Canton Ferrer, Pierre Andrews, Marta R. Costa-jussà
CognitiveOS: Large Multimodal Model based System to Endow Any Type of Robot with Generative AI
Artem Lykov, Mikhail Konenkov, Koffivi Fidèle Gbagbe, Mikhail Litvinov, Denis Davletshin, Aleksey Fedoseev, Miguel Altamirano Cabrera, Robinroy Peter, Dzmitry Tsetserukou
Red-Teaming for Generative AI: Silver Bullet or Security Theater?
Michael Feffer, Anusha Sinha, Wesley Hanwen Deng, Zachary C. Lipton, Hoda Heidari
Identifying and Improving Disability Bias in GPT-Based Resume Screening
Kate Glazko, Yusuf Mohammed, Ben Kosa, Venkatesh Potluri, Jennifer Mankoff
Generative AI-enabled Blockchain Networks: Fundamentals, Applications, and Case Study
Cong T. Nguyen, Yinqiu Liu, Hongyang Du, Dinh Thai Hoang, Dusit Niyato, Diep N. Nguyen, Shiwen Mao
Design Principles for Generative AI Applications
Justin D. Weisz, Jessica He, Michael Muller, Gabriela Hoefer, Rachel Miles, Werner Geyer
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges
Abdenour Hadid, Tanujit Chakraborty, Daniel Busby
Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators
Wiebke Hutiri, Oresiti Papakyriakopoulos, Alice Xiang