Melvin Johnson

According to our database1, Melvin Johnson authored at least 42 papers between 2016 and 2024.

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Bibliography

2024
Capabilities of Gemini Models in Medicine.
CoRR, 2024

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.
CoRR, 2024

2023
Gemini: A Family of Highly Capable Multimodal Models.
CoRR, 2023

PaLM 2 Technical Report.
CoRR, 2023

The unreasonable effectiveness of few-shot learning for machine translation.
CoRR, 2023

The Unreasonable Effectiveness of Few-shot Learning for Machine Translation.
Proceedings of the International Conference on Machine Learning, 2023

Mu<sup>2</sup>SLAM: Multitask, Multilingual Speech and Language Models.
Proceedings of the International Conference on Machine Learning, 2023


2022
mSLAM: Massively multilingual joint pre-training for speech and text.
CoRR, 2022

Domain Curricula for Code-Switched MT at MixMT 2022.
Proceedings of the Seventh Conference on Machine Translation, 2022

DOCmT5: Document-Level Pretraining of Multilingual Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

XTREME-S: Evaluating Cross-lingual Speech Representations.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training.
CoRR, 2021

MergeDistill: Merging Pre-trained Language Models using Distillation.
CoRR, 2021

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.
CoRR, 2021

Gradient-guided Loss Masking for Neural Machine Translation.
CoRR, 2021

They, Them, Theirs: Rewriting with Gender-Neutral English.
CoRR, 2021

Distilling Large Language Models into Tiny and Effective Students using pQRNN.
CoRR, 2021

Explicit Alignment Objectives for Multilingual Bidirectional Encoders.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Rethinking Embedding Coupling in Pre-trained Language Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

MergeDistill: Merging Language Models using Pre-trained Distillation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization.
CoRR, 2020

XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation.
Proceedings of the 37th International Conference on Machine Learning, 2020

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Adaptive Scheduling for Multi-Task Learning.
CoRR, 2019

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation.
CoRR, 2019

Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges.
CoRR, 2019

The Missing Ingredient in Zero-Shot Neural Machine Translation.
CoRR, 2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.
CoRR, 2019

Massively Multilingual Neural Machine Translation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Direct Speech-to-Speech Translation with a Sequence-to-Sequence Model.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Leveraging Weakly Supervised Data to Improve End-to-end Speech-to-text Translation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Small and Practical BERT Models for Sequence Labeling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation.
CoRR, 2018

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation.
CoRR, 2018

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation.
Trans. Assoc. Comput. Linguistics, 2017

2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.
CoRR, 2016


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