🔬 Research Summary by Christopher Teo, PhD, Singapore University of Technology and Design (SUTD). [Original paper by Christopher T.H Teo, Milad Abdollahzadeh, Xinda Ma, Ngai-man Cheung] Note: This paper, … [Read more...] about FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation (NeurIPS 2024)
Inclusivity
On Measuring Fairness in Generative Modelling (NeurIPS 2023)
🔬 Research Summary by Christopher Teo, PhD, Singapore University of Technology and Design (SUTD). [Original paper by Christopher T.H.Teo, Milad Abdollahzadeh, and Ngai-Man Cheung] Note: This paper, On … [Read more...] about On Measuring Fairness in Generative Modelling (NeurIPS 2023)
Low-Resource Languages Jailbreak GPT-4
🔬 Research Summary by Zheng-Xin Yong, a Computer Science Ph.D. candidate at Brown University, focusing on inclusive and responsible AI by building multilingual large language models and making them more representative … [Read more...] about Low-Resource Languages Jailbreak GPT-4
Harnessing Collective Intelligence Under a Lack of Cultural Consensus
🔬 Research Summary by Necdet Gürkan, a Ph.D. candidate at the Stevens Institute of Technology, is working with Jordan W. Suchow and exploring the intersection of cognitive science and information … [Read more...] about Harnessing Collective Intelligence Under a Lack of Cultural Consensus
How Culturally Aligned are Large Language Models?
🔬 Research Summary by Reem Ibrahim Masoud, a Ph.D. student at University College London (UCL) specializing in the Cultural Alignment of Large Language Models. [Original paper by Reem I. Masoud, Ziquan Liu, Martin … [Read more...] about How Culturally Aligned are Large Language Models?