Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost

15 March 2022

Papers citing "Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost"

5 / 5 papers shown

Title
What is the Role of Small Models in the LLM Era: A Survey Lihu Chen Gaël Varoquaux ALM 63 23 0 10 Sep 2024
Learning High-Quality and General-Purpose Phrase Representations Lihu Chen Gaël Varoquaux Fabian M. Suchanek 32 3 0 18 Jan 2024
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters Hicham El Boukkouri Olivier Ferret Thomas Lavergne Hiroshi Noji Pierre Zweigenbaum Junichi Tsujii 77 156 0 20 Oct 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 245 31,257 0 16 Jan 2013