From the lab
Almost every large language model that reaches a broad audience is quantized. Holding the model, its training and the prompts fixed and varying only weight precision, the compressed build keeps passing standard safety checks while volunteering stereotypes in roughly one…
Fifteen years ago, we explored a different way to detect communities in large networks. At the time, most community detection methods focused almost exclusively on modularity maximization. Louvain-based approaches were fast, elegant, and widely adopted — but they were also…

Congratulations to Julie Jiang and Herbert Chang for this incredible accomplishment!
My latest work titled “Should ChatGPT be biased? Challenges and risks of bias in large language models” has been published on First Monday. In the current era of rapidly advancing artificial intelligence (AI) and machine learning (ML), generative language models…

Our latest work, titled “Evidence of complex contagion of information in social media: An experiment using Twitter bots” was published in Plos One on September 22, 2017! In this study, in collaboration with Bjarke Mønsted, Piotr Sapieżyński, and Sune Lehmann from the…

My latest work titled “Contagion dynamics of extremist propaganda in social networks” has been published on Information Sciences. The study aims at modeling and understanding the diffusion of extremist propaganda, in particular content in support of ISIS, on social media…

My latest work titled “Disinformation and social bot operations in the run up to the 2017 French presidential election” investigates the #MacronLeaks disinformation campaign that occurred in the run up to the 2017 French presidential election. Using a large dataset containing…