🔬 Research Summary by Fraser Mince, an independent machine learning researcher and a Senior Software Engineer at Waymark. [Original paper by Fraser Mince, Dzung Dinh, Jonas Kgomo, Neil Thompson, and Sara … [Read more...] about The Grand Illusion: The Myth of Software Portability and Implications for ML Progress
Technical Methods
A Machine Learning Challenge or a Computer Security Problem?
🔬 Research Summary by Ilia Shumailov, a Ph.D. in Computer Science from the University of Cambridge, specializing in Machine Learning and Computer Security. During the PhD under the supervision of Prof Ross Anderson, Ilia … [Read more...] about A Machine Learning Challenge or a Computer Security Problem?
Assessing the nature of large language models: A caution against anthropocentrism
🔬 Research Summary by Ann Speed, a PhD in Cognitive Psychology and has worked across numerous disciplines in her 22-year career at Sandia National Laboratories. [Original paper by Ann Speed] Overview: … [Read more...] about Assessing the nature of large language models: A caution against anthropocentrism
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
🔬 Research Summary by Griffin Adams, a final year NLP PhD student at Columbia University under Noémie Elhadad and Kathleen McKeown, who will be starting as the Head of Clinical NLP for Stability AI in … [Read more...] about From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Measuring Value Understanding in Language Models through Discriminator-Critique Gap
🔬 Research Summary by Zhaowei Zhang, a Ph.D. student at Peking University, researching Intent Alignment and Multi-Agent Systems for building a trustworthy and social AI system. [Original paper by Zhaowei Zhang, … [Read more...] about Measuring Value Understanding in Language Models through Discriminator-Critique Gap