馃敩 Research Summary by Liam Magee, a digital and urban sociologist. Liam鈥檚 current work examines the interface between generative AI and human psychosocial experience. [Original paper by Shanthi Robertson, Liam … [Read more...] about Intersectional Inquiry, on the Ground and in the Algorithm
Emerging Technology
Mind your Language (Model): Fact-Checking LLMs and their Role in NLP Research and Practice
馃敩 Research Summary by Alexandra Sasha Luccioni and Anna Rogers. Dr. Sasha Luccioni is a Research Scientist and Climate Lead at Hugging Face; her work focuses on better understanding the societal and environmental … [Read more...] about Mind your Language (Model): Fact-Checking LLMs and their Role in NLP Research and Practice
Knowing Your Annotator: Rapidly Testing the Reliability of Affect Annotation
馃敩 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
The Confidence-Competence Gap in Large Language Models: A Cognitive Study
馃敩 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
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
馃敩 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