1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.IR2026
Reproducing Transparent and Scrutable Recommendations: Exploring Open-Weight Models via Natural-Language User Profiles
Noah Mamié, Laurin van den Bergh
In this reproducibility study, we investigate the transparency and scrutability of recommender systems enhanced by incorporating generated natural-language user profiles that repre…
cs.NE2025★ 1 cited
The Society of HiveMind: Multi-Agent Optimization of Foundation Model Swarms to Unlock the Potential of Collective Intelligence
Noah Mamie, Susie Xi Rao
Multi-agent systems address issues of accessibility and scalability of artificial intelligence (AI) foundation models, which are often represented by large language models. We deve…
cs.CL2023
Voting Booklet Bias: Stance Detection in Swiss Federal Communication
Eric Egli, Noah Mamié, Eyal Liron Dolev +1
In this study, we use recent stance detection methods to study the stance (for, against or neutral) of statements in official information booklets for voters. Our main goal is to a…