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Tik-to-Tok: Translating Language Models One Token at a Time: An
  Embedding Initialization Strategy for Efficient Language Adaptation

Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation

5 October 2023
François Remy
Pieter Delobelle
Bettina Berendt
Kris Demuynck
Thomas Demeester
ArXivPDFHTML

Papers citing "Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation"

3 / 3 papers shown
Title
Adapters for Altering LLM Vocabularies: What Languages Benefit the Most?
Adapters for Altering LLM Vocabularies: What Languages Benefit the Most?
HyoJung Han
Akiko Eriguchi
Haoran Xu
Hieu T. Hoang
Marine Carpuat
Huda Khayrallah
VLM
32
2
0
12 Oct 2024
Cross-lingual Transfer of Monolingual Models
Cross-lingual Transfer of Monolingual Models
Evangelia Gogoulou
Ariel Ekgren
T. Isbister
Magnus Sahlgren
27
16
0
15 Sep 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
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
6,724
0
26 Sep 2016
1