6 citations · 6 across the 6 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Predicting LLM Compression Degradation from Spectral Statistics
Mingxue Xu
Matrix-level low-rank compression is a promising way to reduce the cost of large language models, but running compression and evaluating the resulting models on language tasks can…
cs.LG2025
How can representation dimension dominate structurally pruned LLMs?
Mingxue Xu, Lisa Alazraki, Danilo P. Mandic
Pruning assumes a subnetwork exists in the original deep neural network, which can achieve comparative model performance with less computation than the original. However, it is unc…