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
Design
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
Exploring XAI for the Arts: Explaining Latent Space in Generative Music
馃敩 Research Summary by Nick Bryan-Kinns, Professor of Creative Computing at the Creative Computing Institute, University of the Arts London, where he researches the human-centred approaches to the use of AI in the Arts. … [Read more...] about Exploring XAI for the Arts: Explaining Latent Space in Generative Music