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Towards Versatile and Efficient Visual Knowledge Integration into
  Pre-trained Language Models with Cross-Modal Adapters

Towards Versatile and Efficient Visual Knowledge Integration into Pre-trained Language Models with Cross-Modal Adapters

12 May 2023
Xinyun Zhang
Haochen Tan
Han Wu
Bei Yu
    KELM
ArXivPDFHTML

Papers citing "Towards Versatile and Efficient Visual Knowledge Integration into Pre-trained Language Models with Cross-Modal Adapters"

3 / 3 papers shown
Title
Transferring Knowledge from Vision to Language: How to Achieve it and
  how to Measure it?
Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it?
Tobias Norlund
Lovisa Hagström
Richard Johansson
34
25
0
23 Sep 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
340
3,726
0
11 Feb 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
304
6,996
0
20 Apr 2018
1