6 citations · 16 across the 15 of their papers we have counts for
3 papers · 1 filter
LLM360: Towards Fully Transparent Open-Source LLMs
Zhengzhong Liu, Aurick Qiao, Willie Neiswanger +25
The recent surge in open-source Large Language Models (LLMs), such as LLaMA, Falcon, and Mistral, provides diverse options for AI practitioners and researchers. However, most LLMs…
FedNAR: Federated Optimization with Normalized Annealing Regularization
Junbo Li, Ang Li, Chong Tian +3
Weight decay is a standard technique to improve generalization performance in modern deep neural network optimization, and is also widely adopted in federated learning (FL) to prev…
Hedonic Prices and Quality Adjusted Price Indices Powered by AI
Patrick Bajari, Zhihao Cen, Victor Chernozhukov +8
We develop empirical models that efficiently process large amounts of unstructured product data (text, images, prices, quantities) to produce accurate hedonic price estimates and d…