2 citations · 3 across the 9 of their papers we have counts for
3 papers · 1 filter
Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models
Victor Agostinelli, Max Wild, Matthew Raffel +2
Large language models (LLMs) with billions of parameters and pretrained on massive amounts of data are now capable of near or better than state-of-the-art performance in a variety…
Partitioning-Guided K-Means: Extreme Empty Cluster Resolution for Extreme Model Compression
Tianhong Huang, Victor Agostinelli, Lizhong Chen
Compactness in deep learning can be critical to a model's viability in low-resource applications, and a common approach to extreme model compression is quantization. We consider It…
Improving Autoregressive NLP Tasks via Modular Linearized Attention
Victor Agostinelli, Lizhong Chen
Various natural language processing (NLP) tasks necessitate models that are efficient and small based on their ultimate application at the edge or in other resource-constrained env…