Lie, Sean

5 publications

ICLR 2026 REAP the Experts: Why Pruning Prevails for One-Shot MoE Compression Mike Lasby, Ivan Lazarevich, Nish Sinnadurai, Sean Lie, Yani Ioannou, Vithursan Thangarasa

NeurIPSW 2024 Self-Data Distillation for Recovering Quality in Pruned Large Language Models Vithursan Thangarasa, Ganesh Venkatesh, Nish Sinnadurai, Sean Lie

ICML 2024 Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency Vithursan Thangarasa, Shreyas Saxena, Abhay Gupta, Sean Lie

UAI 2023 SPDF: Sparse Pre-Training and Dense Fine-Tuning for Large Language Models Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena

NeurIPSW 2023 Sparse Iso-FLOP Transformations for Maximizing Training Efficiency Vithursan Thangarasa, Shreyas Saxena, Abhay Gupta, Sean Lie