🔬 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
Technical Methods
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?
How Helpful do Novice Programmers Find the Feedback of an Automated Repair Tool?
🔬 Research Summary by Oka Kurniawan, a Computer Science Faculty in the Singapore University of Technology and Design, Singapore. [Original paper by Oka Kurniawan, Christopher M. Poskitt, Ismam Al Hoque, Norman … [Read more...] about How Helpful do Novice Programmers Find the Feedback of an Automated Repair Tool?
ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models
🔬 Research Summary by Mohi Reza, a Computer Science Ph.D. Candidate at the University of Toronto and an Adaptive Experimentation Accelerator team member who won the Grand Prize in the $1M XPRIZE Digital Learning … [Read more...] about ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models
Representation Engineering: A Top-Down Approach to AI Transparency
🔬 Research Summary by Andy Zou, a Ph.D. student at CMU, advised by Zico Kolter and Matt Fredrikson. He also cofounded the Center for AI Safety (safe.ai). [Original paper by Andy Zou, Long Phan, Sarah Chen, James … [Read more...] about Representation Engineering: A Top-Down Approach to AI Transparency