🔬 Research Summary by Matthew Barthet, a Ph.D. student researching artificial intelligence and games at the Institute of Digital Games, University of Malta. [Original paper by Matthew Barthet, Chintan Trivedi, … [Read more...] about Knowing Your Annotator: Rapidly Testing the Reliability of Affect Annotation
Articles
AI and Great Power Competition: Implications for National Security
🔬 Research Summary by Arun Teja Polcumpally, a Technology Policy Analyst at Wadhwani Institute of Technology Policy (WITP), New Delhi, India). [Original paper by Eric Schmidt] Overview: This research … [Read more...] about AI and Great Power Competition: Implications for National Security
The Confidence-Competence Gap in Large Language Models: A Cognitive Study
🔬 Research Summary by Suman Devkota, Bishal Lamichhane, Aniket Kumar Singh, and Uttam Dhakal. Suman Devkota is a Manufacturing Engineer at First Solar and has a Master's in Electrical Engineering from Youngstown … [Read more...] about The Confidence-Competence Gap in Large Language Models: A Cognitive Study
Universal and Transferable Adversarial Attacks on Aligned Language Models
🔬 Research Summary by Andy Zou, a second-year PhD student at CMU, advised by Zico Kolter and Matt Fredrikson. He is also a cofounder of the Center for AI Safety (safe.ai). [Original paper by Andy Zou, Zifan … [Read more...] about Universal and Transferable Adversarial Attacks on Aligned Language Models
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
🔬 Research Summary by Ahmad Faiz, Masters in Data Science student at Indiana University Bloomington. [Original paper by Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Osi, Parteek Sharma, Fan Chen, and Lei … [Read more...] about LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models