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Efficient Domain Adaptation of Language Models via Adaptive Tokenization

Efficient Domain Adaptation of Language Models via Adaptive Tokenization

15 September 2021
Vin Sachidananda
Jason S Kessler
Yi-An Lai
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Papers citing "Efficient Domain Adaptation of Language Models via Adaptive Tokenization"

4 / 4 papers shown
Title
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot
  Classification
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification
Yongxin Huang
Kexin Wang
Sourav Dutta
Raj Nath Patel
Goran Glavas
Iryna Gurevych
VLM
20
4
0
01 Nov 2023
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned
  Models
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models
Aitor Ormazabal
Mikel Artetxe
Eneko Agirre
33
19
0
23 May 2023
Efficient Intent Detection with Dual Sentence Encoders
Efficient Intent Detection with Dual Sentence Encoders
I. Casanueva
Tadas Temvcinas
D. Gerz
Matthew Henderson
Ivan Vulić
VLM
180
453
0
10 Mar 2020
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
6,746
0
26 Sep 2016
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