9 citations · 21 across the 7 of their papers we have counts for
3 papers · 1 filter
Clustering and Median Aggregation Improve Differentially Private Inference
Kareem Amin, Salman Avestimehr, Sara Babakniya +4
Differentially private (DP) language model inference is an approach for generating private synthetic text. A sensitive input example is used to prompt an off-the-shelf large langua…
Escaping Collapse: The Strength of Weak Data for Large Language Model Training
Kareem Amin, Sara Babakniya, Alex Bie +3
Synthetically-generated data plays an increasingly larger role in training large language models. However, while synthetic data has been found to be useful, studies have also shown…
Supervised Learning for Analog and RF Circuit Design: Benchmarks and Comparative Insights
Asal Mehradfar, Xuzhe Zhao, Yue Niu +4
Automating analog and radio-frequency (RF) circuit design using machine learning (ML) significantly reduces the time and effort required for parameter optimization. This study expl…