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EMMeTT: Efficient Multimodal Machine Translation Training

EMMeTT: Efficient Multimodal Machine Translation Training

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
20 September 2024
Piotr Żelasko
Zhehuai Chen
Mengru Wang
Daniel Galvez
Oleksii Hrinchuk
Shuoyang Ding
Ke Hu
Jagadeesh Balam
Vitaly Lavrukhin
Boris Ginsburg
ArXiv (abs)PDFHTML

Papers citing "EMMeTT: Efficient Multimodal Machine Translation Training"

3 / 3 papers shown
Title
Revisiting Data Challenges of Computational Pathology: A Pack-based Multiple Instance Learning Training Framework
Revisiting Data Challenges of Computational Pathology: A Pack-based Multiple Instance Learning Training Framework
Wenhao Tang
Heng Fang
Ge Wu
Xiang Li
Ming-Ming Cheng
183
0
0
25 Sep 2025
Training and Inference Efficiency of Encoder-Decoder Speech Models
Training and Inference Efficiency of Encoder-Decoder Speech Models
Piotr .Zelasko
Kunal Dhawan
Daniel Galvez
Krishna Puvvada
Ankita Pasad
Nithin Rao Koluguri
Ke Hu
Vitaly Lavrukhin
Jagadeesh Balam
Boris Ginsburg
305
8
0
07 Mar 2025
VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning
VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-TuningNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Yifan Peng
Krishna Puvvada
Zhehuai Chen
Piotr .Zelasko
He Huang
Kunal Dhawan
Ke Hu
Shinji Watanabe
Jagadeesh Balam
Boris Ginsburg
313
7
0
23 Oct 2024
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