Direction is what you need: Improving Word Embedding Compression in Large Language Models

15 June 2021

Papers citing "Direction is what you need: Improving Word Embedding Compression in Large Language Models"

3 / 3 papers shown

Title
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models Mohammadreza Banaei Klaudia Bałazy Artur Kasymov R. Lebret Jacek Tabor Karl Aberer OffRL 26 0 0 08 Feb 2023
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 314 7,020 0 20 Apr 2018
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 336 31,327 0 16 Jan 2013