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cs.LG2025
DOTResize: Reducing LLM Width via Discrete Optimal Transport-based Neuron Merging
Neha Verma, Kenton Murray, Kevin Duh
Structured pruning methods designed for Large Language Models (LLMs) generally focus on identifying and removing the least important components to optimize model size. However, in…
cs.CL2025
Merging Feed-Forward Sublayers for Compressed Transformers
Neha Verma, Kenton Murray, Kevin Duh
With the rise and ubiquity of larger deep learning models, the need for high-quality compression techniques is growing in order to deploy these models widely. The sheer parameter c…