🔬 Research Summary by Dominik Hintersdorf & Lukas Struppek. Dominik & Lukas are both Ph.D. students at the Technical University of Darmstadt, researching the security and privacy of deep learning … [Read more...] about Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models
Technical Methods
Faith and Fate: Limits of Transformers on Compositionality
🔬 Research Summary by Nouha Dziri, a research scientist at Allen Institute for AI working with Yejin Choi and the Mosaic team on understanding the inner workings of language models. [Original paper by Nouha … [Read more...] about Faith and Fate: Limits of Transformers on Compositionality
Mind your Language (Model): Fact-Checking LLMs and their Role in NLP Research and Practice
🔬 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
🔬 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
🔬 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